BaomanLi| Neuroanatomy | Best Researcher Award

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Prof. BaomanLi| Neuroanatomy| Best Researcher Award

Prof . Baoman Li, China Medical University, China.

Dr. Baoman Li is a distinguished neuroscientist and forensic toxicologist whose academic and professional journey spans advanced pharmacological research and impactful discoveries in brain science. With a Ph.D. from China Medical University and postdoctoral training in the U.S., he has built a career rooted in scientific excellence and innovation. His pioneering research—ranging from CSF transport mechanisms to neuronal excitability and circadian-based psychiatric models—has been published in leading journals. As a professor and department director, he also contributes through scholarly leadership, editorial work, and mentorship, strengthening the foundation of neuroglial and toxicological research

Profile

 

Early Academic Pursuits

Dr. Baoman Li’s academic journey began with a strong foundation in medical pharmacology, culminating in a Ph.D. from China Medical University. His early academic years were marked by a keen interest in the complex interactions between drugs and neural function, particularly within the central nervous system. Motivated by a curiosity about how neurochemical pathways influence behavior and mental health, Dr. Li pursued rigorous scientific training and research, laying the groundwork for a future at the forefront of forensic toxicology and neuropharmacology.

Professional Endeavors

Following his doctoral studies, Dr. Li expanded his academic horizons as a postdoctoral researcher at the University of Rochester Medical Center in the United States from 2013 to 2014. There, he collaborated on cross-disciplinary studies, refining his expertise in neurobiology and toxicological mechanisms. Returning to China, he assumed the role of Professor and Department Director of the Forensic Analytical Toxicology Department at China Medical University. In this position, he has led numerous high-impact research initiatives, while mentoring emerging scientists and guiding departmental development.

🧠 Contributions and Research Focus

Dr. Li’s research has contributed significantly to our understanding of the brain’s physiological and pathological processes. His recent studies have been particularly groundbreaking. He identified a previously unknown ependymal cell-mediated pathway responsible for transporting cerebrospinal fluid (CSF) from the central nervous system to peripheral organs, published in PNAS in 2024. Another major discovery, published in Cell Metabolism in 2025, revealed the role of the norepinephrine–free fatty acid–Na⁺/K⁺-ATPase axis in regulating neuronal hyperexcitability and behavioral arousal. Furthermore, his 2023 work in Molecular Psychiatry introduced a novel circadian disruption-induced manic mouse model, offering new tools for bipolar disorder research.

📚 Scholarly Contributions and Thought Leadership

Beyond laboratory discoveries, Dr. Li has demonstrated scholarly leadership through his editorial work on three comprehensive books focusing on neuroglial functions and dysfunctions. These editorial endeavors reflect his deep engagement with the academic community and his commitment to synthesizing and disseminating cutting-edge knowledge. His work bridges pharmacology, neuroscience, and psychiatry, reinforcing his reputation as a thought leader in the multidisciplinary domain of brain science and mental health.

🏅 Accolades and Recognition

Dr. Li’s scientific rigor and innovative research have earned him national and international recognition. His publications in high-impact journals have attracted attention from global neuroscientific communities, affirming the relevance and importance of his findings. As a respected academic, he frequently contributes to peer-reviewed journals and serves as a reviewer and collaborator across multiple institutions, further highlighting his expertise and integrity as a scientist.

🌍 Impact and Influence

Through his research, Dr. Li has had a significant impact on the fields of forensic toxicology, neuropharmacology, and psychiatric disorder modeling. His identification of critical neural pathways and behavioral mechanisms has implications for both clinical practice and basic science. His collaborative work continues to influence ongoing studies in neuroscience and mental health treatment strategies, and his mentorship of students ensures that his influence extends to future generations of researchers.

🔬 Legacy and Future Contributions

As Dr. Baoman Li continues his work, he remains committed to pushing the boundaries of forensic neuroscience and neuropharmacology. With a legacy rooted in innovation, academic excellence, and cross-disciplinary exploration, his future contributions are expected to further transform our understanding of brain function and disease. By integrating analytical toxicology with behavioral neuroscience, Dr. Li aims to develop novel diagnostic and therapeutic approaches that could benefit public health on a global scale.

🧾 Conclusion

Through decades of dedication, Dr. Baoman Li has emerged as a transformative figure in the intersecting fields of neuropharmacology, forensic toxicology, and psychiatric neuroscience. His work not only enhances scientific understanding but also opens new avenues for diagnosis and treatment of complex neurological and psychological disorders. As he continues to lead cutting-edge research and mentor the next generation, his influence will persist—shaping the future of brain health and forensic science across global academic and clinical landscapes.

Haoqiang Sun | Systems Neuroscience | Best Researcher Award

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Dr. Haoqiang Sun | Systems Neuroscience | Best Researcher Award

Dr. Haoqiang Sun, Xi’an Jiaotong University, School of Management, China.

Haoqiang Sun is an emerging scholar in Management Science and Engineering, currently pursuing his Ph.D. at Xi’an Jiaotong University, where he is exploring multimodal big data analysis and user-generated content. His academic journey began with a Bachelor’s degree in Information and Computing Science, followed by a Master’s in Resources and Environment. Throughout his studies, Haoqiang has demonstrated a keen interest in data analysis, which has led to his current focus on practical applications in tourism and business. In addition to his research, he serves as a teaching assistant, mentoring students in advanced statistical analysis. His work is funded by prominent national programs, highlighting his potential to make significant contributions to his field.

Profile

Google Scholar

Early Academic Pursuits 🎓

Haoqiang Sun’s academic journey began with a focus on Information and Computing Science, completing his Bachelor’s degree at Xi’an University of Science and Technology, where he achieved a GPA of 2.71/4.00 from 2016 to 2020. His early years as a student laid a strong foundation for his future research in management science and engineering, particularly in data analysis. During his time at Xi’an University, he honed his skills in data processing and computation, which would later shape his research trajectory. His academic curiosity and passion for problem-solving were evident as he progressed into his Master’s studies, earning an M.Sc. in Resources and Environment with a GPA of 3.07/4.00 from 2020 to 2023. These formative years provided him with a solid background in multidisciplinary studies, which were crucial in his later exploration of multimodal data analysis.

Academic Pursuits in Management Science and Engineering 📊

Currently, Haoqiang is a Ph.D. student at Xi’an Jiaotong University, specializing in Management Science and Engineering. Since September 2023, he has been working under the guidance of Professor Shaolong Sun, with an expected completion date of December 2026. His research interests focus on multimodal big data analysis and user-generated content, reflecting a deep interest in understanding the dynamics of digital data in real-world applications. Haoqiang’s academic performance is notable, with a GPA of 3.56/4.00, illustrating his dedication to mastering the complexities of management science. His ongoing research aims to bridge the gap between big data analytics and practical business applications, positioning him as a promising scholar in his field.

Professional Endeavors and Research Contributions 💼

Haoqiang Sun’s professional journey has been marked by his roles as both a researcher and a teaching assistant. As a research assistant at Xi’an Jiaotong University, he has been contributing to significant projects funded by both the National Key R&D Program for Young Scientists and the National Nature Science Foundation. His primary responsibilities involve literature reviews, data collection, and academic writing. These experiences allow him to explore cutting-edge research in multimodal big data analysis, particularly focusing on tourism-related data. Additionally, Haoqiang leads a research project, Multi-modal Data Mining and Analysis of Tourist Attractions (2025–2026), where he is tasked with applying data analytics to understand tourist demand at Xi’an’s popular tourist sites.

Teaching and Mentorship 🎓

In addition to his research, Haoqiang is also committed to the academic development of others. He serves as a full-time teaching assistant for the course Advanced Statistical Analysis at Xi’an Jiaotong University, a role he started in September 2024. As a teaching assistant, Haoqiang provides guidance on study strategies, addresses student queries, and helps foster a deeper understanding of statistical concepts. His work in this capacity reflects his passion for knowledge sharing and his dedication to helping fellow students navigate the complexities of advanced statistical methods, demonstrating his teaching aptitude and communication skills.

Research Focus and Innovation 🔍

Haoqiang’s research focuses on the intersection of multimodal big data analysis and user-generated content. His work is particularly relevant in today’s digital age, where vast amounts of data are produced by online users, and understanding these data flows can lead to meaningful insights for businesses and policymakers alike. His work in tourism, especially in analyzing tourist demand through multimodal data, demonstrates the practical applications of his research. By integrating data from multiple sources, including social media, reviews, and online platforms, Haoqiang seeks to optimize user experiences and improve decision-making processes in various sectors.

Accolades and Recognition 🏆

Despite being early in his academic career, Haoqiang has already earned recognition for his academic achievements. His research contributions, particularly in the realm of data analytics and management science, have positioned him as an emerging scholar with great potential. His supervisor, Professor Shaolong Sun, has commended his work for its rigor and innovation. Haoqiang’s research has been well-received in academic circles, and his involvement in prestigious projects funded by national scientific programs speaks to the quality and relevance of his work.

Future Contributions and Legacy 🌟

Looking ahead, Haoqiang Sun is poised to make significant contributions to the fields of data analysis and management science. His current research, which applies multimodal big data techniques to tourism and user-generated content, is just the beginning of what promises to be a fruitful academic career. Haoqiang’s work has the potential to influence not only the academic community but also industries like tourism, marketing, and data science, where insights into consumer behavior and user interactions are critical. As he continues to explore new methodologies and applications in data analytics, Haoqiang aims to leave a lasting legacy of innovation, bridging the gap between theory and practice in management science.

Publication

 

  • Experimental study on mechanical damage characteristics of water-bearing tar-rich coal under microwave radiation
    Authors: P Yang, P Shan, H Xu, J Chen, Z Li, H Sun
    Year: 2024

 

  • Numerical method for predicting and evaluating the stability of section coal pillars in underground longwall mining
    Authors: P Shan, H Sun, X Lai, J Dai, J Gao, P Yang, W Li, C Li, C Yan
    Year: 2022

 

  • Experiment on accurate identification of thermal image of coal-gangue mixture under a simulated dusky and wet condition
    Authors: SUNH SHAN Pengfei, LI Chenwei, LAI Xingping
    Year: 2024

 

  • Coal-rock interface perception and accurate recognition in heading face under coal dust environment based on machine vision
    Authors: Y ZHANG, L TONG, X LAI, S CAO, B YAN, Y LIU, H SUN, Y YANG, W HE
    Year: 2024

 

  • Evaluation of real-time perception of deformation state of host rocks in coal mine roadways in dusty environment
    Authors: P Shan, C Yan, X Lai, H Sun, C Li, X Chen
    Year: 2023

 

  • Let pictures speak: hotel selection-recommendation method with cognitive image attribute-enhanced knowledge graphs
    Authors: H Sun, H Xu, J Wu, S Sun, S Wang
    Year: 2024

 

  • Beyond Visual Appeal: The Impact of Multisensory Experience of Hotel Marketing and Review Images on Sales
    Authors: H Sun, H Xu, S Sun, H Li, S Wang
    Year: 2025

 

  • A research study of lightweight state perception algorithm based on improved YOLOv5s‐Tiny for fully mechanized top‐coal caving mining
    Authors: PF Shan, T Yang, XC Wu, HQ Sun
    Year: 2024

 

  • Mechanism of short-wall block backfill water-preserved mining based on water-conducting fractures development-heavy metal ions migration
    Authors: Y ZHANG, Y LIU, X LAI, T SONG, L ZHANG, H SUN, P WAN, R ZHAN
    Year: 2023

 

Conclusion

Haoqiang Sun’s academic and professional pursuits reflect his dedication to advancing the field of management science through the innovative use of big data analysis. With a strong foundation in both technical and applied research, he is well-positioned to impact industries like tourism, marketing, and business analytics. As he continues to develop his expertise, Haoqiang’s future contributions are expected to bridge the gap between theoretical research and practical applications, leaving a lasting influence on both academia and industry. His passion for research and teaching further ensures that his academic legacy will inspire future generations of scholars and professionals.

 

linlin zhang | physical exercise promote cognition | Best Researcher Award

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Dr. Linlin Zhang | physical exercise promote cognition | Best Researcher Award

Dr. linlin zhang, henan normal universoty, China.

Zhang Linlin is a dedicated researcher and educator whose academic journey spans from a strong foundation in physical education to a specialized focus on exercise physiology and neurobiology. Through her undergraduate, master’s, and Ph.D. studies, she has cultivated expertise in the physiological and neurological effects of exercise, particularly in relation to cognitive function and neurodegenerative diseases. Her professional career at Henan Normal University has allowed her to further develop her research while inspiring the next generation of scholars. With an impressive portfolio of publications and accolades, her contributions to the field have significantly enhanced the understanding of exercise as a therapeutic tool for brain health.

Profile

Scopus

✨ Early Academic Pursuits ✨

Zhang Linlin’s journey in academia began with a strong passion for physical education and human science. She pursued her undergraduate studies at Luoyang Normal University, Henan Province, where she earned a degree in Physical Education (2011-2015). This foundational phase allowed her to explore key disciplines such as pedagogy, sports anatomy, and exercise physiology, shaping her understanding of the intricate relationship between physical activity and human health. Fuelled by a desire to deepen her expertise, she continued her education at the Capital Institute of Physical Education (2015-2018), specializing in Sports Human Science for her master’s degree. Here, she refined her knowledge of sports training, rehabilitation, and neurophysiology, setting the stage for her future research endeavors.

🔬 Professional Endeavors 🔬

Zhang Linlin’s commitment to academic excellence led her to pursue a Ph.D. in Sports Human Science at Fujian Normal University (2019-2022), where she engaged in cutting-edge research on exercise physiology and neurobiology. Her doctoral studies provided her with hands-on experience in experimental techniques such as brain localization, microdialysis sampling, Western Blot analysis, and ELISA, equipping her with a robust scientific skillset. Upon completing her Ph.D., she secured a teaching and research position at the School of Physical Education, Henan Normal University (2022-Present), where she continues to inspire students while advancing her research on the intersection of exercise and brain health.

🌍 Contributions and Research Focus 🌍

A central theme in Zhang Linlin’s research is understanding how physical exercise influences brain health, particularly in neurodegenerative and cognitive disorders. She has extensively studied the effects of treadmill exercise and wheel running on synaptic plasticity, neuroinflammation, and neurotransmitter modulation in models of vascular dementia and Alzheimer’s disease. Her work has unveiled critical insights into the neuroprotective mechanisms of exercise, demonstrating its role in enhancing recognition memory, reducing microglial activation, and preserving dopamine and serotonin levels in the brain. By integrating molecular biology and behavioral neuroscience, her research bridges the gap between exercise physiology and neurobiological health.

🌟 Accolades and Recognition 🌟

Zhang Linlin’s outstanding contributions to her field have earned her numerous prestigious awards. She was honored with the Outstanding Graduate Thesis Award in 2022, reflecting the high impact and quality of her research. Additionally, she secured first-class scholarships for graduate students in both 2020-2021 and 2021-2022, a testament to her academic excellence and dedication. In recognition of her potential, she was also selected for the Outstanding Doctoral Dissertation Cultivation Project in 2020, further solidifying her position as a leading researcher in exercise neurobiology.

📚 Impact and Influence 📚

With an impressive publication record, Zhang Linlin has significantly contributed to the scientific community. As the first author, she has published five influential papers, including one SSCI paper, three SCI papers, and one paper in a domestic authoritative core journal. Her research has appeared in prestigious journals such as Scientific Reports, Physiology & Behavior, and Behavioural Brain Research, gaining recognition for its novel findings on exercise-induced neuroprotection. Additionally, she has co-authored multiple studies and played a key role in editing the book Exercise and Health, further extending her impact on the academic and professional domains.

🤖 Legacy and Future Contributions 🤖

Zhang Linlin envisions a future where exercise is widely recognized as a powerful intervention for cognitive and neurological disorders. She aims to continue her research on the molecular pathways through which physical activity enhances brain function, with the goal of translating her findings into clinical applications. By mentoring the next generation of scholars and collaborating with interdisciplinary experts, she seeks to further expand the understanding of exercise physiology in neurological health. Her unwavering dedication to science and education ensures that her legacy will inspire future researchers and health professionals in the pursuit of knowledge and well-being.

 

publication

Title: Treadmill exercise pretreatment ameliorated structural synaptic plasticity impairments of medial prefrontal cortex in vascular dementia rat and improved recognition memory

Authors: L. Zhang, Y. Chen, Y. Fan, L. Shi

Year: 2024

🎯 Conclusion 🎯

Zhang Linlin’s research bridges the gap between physical activity and neurobiological health, providing valuable insights into the protective effects of exercise on cognition and neurological disorders. Her work not only advances scientific knowledge but also holds promise for real-world applications in disease prevention and rehabilitation. With a strong commitment to education, research, and innovation, she continues to pave the way for future advancements in exercise neuroscience. As she moves forward in her career, her legacy will undoubtedly inspire further exploration into the powerful connection between movement and brain health.

Jun Xia | Central Nerous System | Best Scholar Award

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Dr. Jun Xia | Central Nerous System| Best Scholar Award

Dr. Jun Xia,  Shenzhen Second People’s Hospital, China.

Dr. Jun Xia, Chief Physician and Deputy Director of the Department of Medical Imaging at Shenzhen Second People’s Hospital, is a distinguished expert with over 30 years of experience in medical imaging. His work focuses on neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations. Dr. Xia has published 52 journal articles, including 39 SCI papers with a cumulative impact factor exceeding 100, and authored six books. He holds three patents and has led 15 research projects, including collaborations on pioneering AI-based diagnostic tools. His expertise is recognized globally through editorial appointments, conference presentations, and professional memberships.

 

profile

Scholar

🎓 Academic and Professional Background

Dr. Jun Xia, a Ph.D. holder and medical imaging expert, boasts 30+ years of experience in neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations.  He has published 39 SCI papers with an impact factor exceeding 100, reviewed national research funds, and presented at top-tier conferences such as RSNA and ECR.

💡 Research and Innovations

Completed/Ongoing Research Projects: 15. Citation Index: Not specified. Consultancy/Industry Projects: Not specified.Books Published (ISBN): 6.ISBN: 9787117274296, 9787117235983, 9787535767066, 9787535767080, 9787523513552, 9787117331340.Patents Published/Under Process: 3.Journals Published (SCI, Scopus, etc.): 52

Representative Papers:

European Radiology (2024): Feasibility of CT-based synthetic brain T1-weighted MRI.Information Fusion (2022): Explainable AI via multi-modal and multi-centre data fusion.European Radiology (2022): MRI neuroimaging for prognosis in hydrocephalus patients post-shunt surgery.Neural Computing & Applications (2022): AI-based e-Diagnosis for ventricular volume measurement.Quantitative Imaging in Medicine and Surgery (2022): MRI synthesis from CT using CNNs with contextual loss.

🌐 Professional Memberships

Member, Head and Neck Committee, Radiology Branch, Chinese Medical Association.Member, Neuroregeneration and Repair Professional Committee, Chinese Research Hospital AssociationMember, Magnetic Resonance Application Professional Committee, China Medical EquipmentAssociation.Member, Neurology Group, Radiology Branch, Guangdong Medical AssociationMember, Radiology Branch, Shenzhen Medical Association

🏆 Contributions

Dr. Jun Xia has made exceptional contributions in medical imaging, excelling in advanced diagnostic techniques for CNS, musculoskeletal, and abdominal diseases. His expertise in neuroimaging and AI-assisted diagnostics has led to groundbreaking solutions in patient care. With numerous impactful publications and clinical innovations, he continues to advance the field of medical imaging.

📚 Publications

  • Artificial intelligence distinguishes COVID-19 from community-acquired pneumonia on chest CT
    Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
    Year: 2020

 

  • Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy
    Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
    Year: 2020

 

  • Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
    Authors: G Yang, Q Ye, J Xia
    Year: 2022

 

  • Weakly supervised deep learning for COVID-19 infection detection and classification from CT images
    Authors: S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, …
    Year: 2020

 

  • Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
    Authors: H Ye, F Gao, Y Yin, D Guo, P Zhao, Y Lu, X Wang, J Bai, K Cao, Q Song, …
    Year: 2019

 

  • A single-center, retrospective study of COVID-19 features in children: a descriptive investigation
    Authors: H Ma, J Hu, J Tian, X Zhou, H Li, MT Laws, LD Wesemann, B Zhu, …
    Year: 2020

 

  • Swin transformer for fast MRI
    Authors: J Huang, Y Fang, Y Wu, H Wu, Z Gao, Y Li, J Del Ser, J Xia, G Yang
    Year: 2022

 

  • Explainable AI for COVID-19 CT classifiers: an initial comparison study
    Authors: Q Ye, J Xia, G Yang
    Year: 2021

 

  • Radiomics nomogram building from multiparametric MRI to predict grade in patients with glioma: a cohort study
    Authors: Q Wang, Q Li, R Mi, H Ye, H Zhang, B Chen, Y Li, G Huang, J Xia
    Year: 2019

 

  • Learning tree-structured representation for 3D coronary artery segmentation
    Authors: B Kong, X Wang, J Bai, Y Lu, F Gao, K Cao, J Xia, Q Song, Y Yin
    Year: 2020

 

Conclusion

Dr. Jun Xia’s contributions to medical imaging have significantly advanced the field, particularly in AI-driven diagnostics and functional neuroimaging. His innovative research, extensive publications, and clinical applications underscore his status as a leader in the domain. With a proven track record of excellence and groundbreaking work, Dr. Xia exemplifies the qualities of a visionary researcher and a transformative figure in medical imaging.