Hagit Cohen | Medicine and Health Sciences | Research Excellence Award

Prof. Hagit Cohen | Medicine and Health Sciences | Research Excellence Award

Prof. Hagit Cohen | Medicine and Health Sciences | Head of Anxiety at Ben Gurion University | Israel

Prof. Hagit Cohen is a distinguished neuroscientist and psychiatrist internationally recognized for her pioneering contributions to stress biology, psychobiology, and translational research in anxiety and post-traumatic stress disorder. Prof. Hagit Cohen completed her undergraduate training in life sciences and her master’s and doctoral education in biomedical engineering and life sciences at Ben-Gurion University of the Negev, where her doctoral research focused on neurophysiological and spectral analysis approaches to mental fatigue and stress-related mechanisms. She later advanced her expertise through postdoctoral training in clinical biochemistry and pharmacology, strengthening her translational orientation between basic neuroscience and clinical psychiatry. Prof. Hagit Cohen currently serves as a senior academic leader in psychiatry and neuroscience, holding prestigious chaired and professorial positions while directing a nationally influential Anxiety and Stress Research Unit that integrates clinical, behavioral, neuroendocrine, and molecular approaches. Prof. Hagit Cohen is highly skilled in translational animal models, psychopharmacology, neuroendocrine profiling, behavioral neuroscience, biomarker discovery, and interdisciplinary clinical research design. She has authored 212 documents, received 13,692 citations, and holds an h-index of 65, reflecting the sustained international impact of her scholarship.

Citation Metrics (Scopus)

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Citations
13,692

Documents
212

h-index
65

🟦 Citations       🟥 Documents    🟩 h-index


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Featured Publications

Exploring the Anxiolytic Potential of NPY by a Dipeptidyl Peptidase-IV Inhibitor in an Animal Model of PTSD
– International Journal of Neuropsychopharmacology, 2024 (7 Citations)
Loss of the Zinc Receptor ZnR/GPR39 in Mice Enhances Anxiety-Related Behavior and Motor Deficits, and Modulates KCC2 Expression in the Amygdala
– Behavioral and Brain Functions, 2024 (1 Citation)
ZNF142 Mutation Causes Sex-Dependent Neurologic Disorder
– Journal of Medical Genetics, 2024 (4 Citations)
Neuro-Psychiatric Symptoms in Directly and Indirectly Blast-Exposed Civilian Survivors of Urban Missile Attacks
– BMC Psychiatry, 2023 (6 Citations)
Sounds of Danger and Post-Traumatic Stress Responses in Wild Rodents: Ecological Validity of a Translational Model of PTSD
– Molecular Psychiatry, 2023 (6 Citations)
Hydrocortisone in the Emergency Department: A Prospective, Double-Blind, Randomized Controlled PTSD Study
– CNS Spectrums, 2023 (8 Citations)
Promoter Methylation of the Glucocorticoid Receptor Following Trauma and Its Association With PTSD Development
– World Journal of Biological Psychiatry, 2023 (5 Citations)

Wei Liu | Medicine and Health Sciences | Best Researcher Award

Wei Liu | Medicine and Health Sciences | Best Researcher Award

Prof. Dr Wei Liu Hunan, University of Chinese Medicine, China

Prof. Dr. Wei Liu is a distinguished scholar in Artificial Intelligence 🤖, Medical Informatics 🏥, and Intelligent Software Engineering 💻, serving as Deputy Dean at Hunan University of Chinese Medicine. With a Ph.D. in Engineering 🎓, he has made groundbreaking contributions through 100+ research papers 📄 (30+ indexed in SCI/EI), 2 monographs 📚, and 9 textbooks 📖. His 30+ software copyrights 💡 and leadership in 20+ major projects 🚀, including collaborations with Huawei and national research foundations, solidify his expertise. As a Young Backbone Teacher of Hunan Province, he also excels in mentoring, guiding students to 300+ awards 🏅, including 10+ national gold prizes 🏆. His teaching innovation has earned him national and provincial-level honors, while his contributions to Traditional Chinese Medicine (TCM) Informatics 🌿 further highlight his multidisciplinary excellence. Recognized as a National Certified System Architect 🏗️, SCI journal reviewer 🧐, and a member of CCF, ACM, and CAIS, Prof. Liu is a true leader in his field.

Publication Profile

Scopus

Education

Prof. Dr. Wei Liu holds a Ph.D. in Engineering (Computer Application Technology) 🖥️ from a prestigious institution, where he specialized in Artificial Intelligence 🤖 and Medical Informatics 🏥. His doctoral research focused on intelligent software systems, integrating machine learning 📊 with healthcare applications 🏩. Prior to his Ph.D., he completed his Master’s degree 🎓 in Computer Science, gaining deep expertise in data-driven decision-making 💾 and intelligent algorithms 🔍. His academic journey also includes undergraduate studies in Software Engineering 💡, where he built a strong foundation in computational intelligence 🧠, biomedical computing 🏥, and software development 💻. With an interdisciplinary education spanning engineering, computer science, and informatics, Prof. Liu combines technical depth with practical innovation, making his academic background perfectly suited for pioneering AI-driven healthcare solutions 🚑. His commitment to education 📚 continues as he mentors students and professionals in next-generation AI research and applications 🤖📊.

Experience

Prof. Dr. Wei Liu serves as the Deputy Dean of the School of Informatics 🏛️ at Hunan University of Chinese Medicine, leading research in Artificial Intelligence 🤖, Medical Informatics 🏥, and Software Engineering 💻. As a Professor and Senior Engineer 👨‍🔬, he supervises Master’s students 🎓, guiding them in cutting-edge AI research 🚀. With a rich teaching career 📚, he has developed three top-level provincial courses 🎖️ and ranked 1st in the Hunan Provincial Teaching Competition 🏆. His industry collaborations with Huawei and leadership in 20+ national projects 🏗️ highlight his practical impact 🌍. He actively contributes as a Vice President of the Hunan Association for TCM Informatics 🌿 and serves on multiple national AI and computing committees 🤝. His work as an SCI journal reviewer 🧐 and National Certified System Architect 🏗️ ensures that his research, teaching, and innovation continue to shape the future of AI-driven medical solutions 🔬.

Awards & Honors

Prof. Dr. Wei Liu is a distinguished researcher and educator 🌟, renowned for his contributions to AI, medical informatics, and teaching innovation 📚. His accolades include the National Teaching Innovation Competition Second Prize 🏆 (2024), 1st Place in the Hunan Provincial Teaching Competition 🎖️, and the National TCM Informatics Teaching Gold Prize 🏅. He has been honored as the “Most Knowledgeable Young Teacher” in Hunan Province 🏆 and recognized as a Young Backbone Teacher 👨‍🏫. A recipient of the Huawei Industry-Academia Collaboration Excellence Award 🏅, he also serves as an Executive Member of National AI Committees 🤖. His mentorship has led students to win 300+ awards 🏆, including over 10 national gold prizes 🥇. As a pioneer in AI-driven medical technologies 🌍, his impact extends across academia and industry 🚀.

Research Focus

Prof. Dr. Wei Liu’s research spans Artificial Intelligence 🤖, Medical Informatics 🏥, and Intelligent Software Engineering 💻, focusing on AI-driven healthcare solutions 📊, big data analysis 🏩, and intelligent diagnosis 🏥. His expertise includes AI-based disease prediction, NLP for medical data 📜, deep learning for medical imaging 🧠📸, and IoT-driven smart healthcare 🚑. Integrating AI with Traditional Chinese Medicine 🌿🤖, he pioneers innovative patient care solutions. With 30+ software copyrights 💡, 100+ high-impact publications 📄, and national-level projects—including Huawei collaborations 🚀—his work enhances precision medicine, diagnostics, and medical software applications 🌍, revolutionizing healthcare technology.

Publication Top Notes

Recognition of Hand-Drawn Hydrocarbon Structure Formulas Using Anchor-Free Detector

Classification of cold and hot medicinal properties of Chinese herbal medicines based on graph convolutional network

ChemReco: automated recognition of hand-drawn carbon–hydrogen–oxygen structures using deep learning

SQCS: A sustainable quality control system for spatial crowdsourcing via three-party evolutionary game: Theory and practice

Truth based three-tier Combinatorial Multi-Armed Bandit ecosystems for mobile crowdsensing

YoDe-Segmentation: automated noise-free retrieval of molecular structures from scientific publications