World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
90
Citations
59676
World Ranking
595
National Ranking
319

Genetics

D-Index
97
Citations
64678
World Ranking
825
National Ranking
415

Overview

Yang Zhang is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans interdisciplinary fields, with a primary focus on health professions and arts and humanities. Within these domains, Zhang has contributed significantly to the subfields of general health professions and philosophy, while also engaging in topics related to nuclear and high energy physics.

Their work encompasses a range of scientific themes including hermeneutics and narrative identity, aging, elder care, and social issues, as well as broader intersections of health, medicine, and society. Additionally, Zhang has explored topics in dark matter and cosmic phenomena, neutrino physics research, and astrophysics and cosmic phenomena.

Yang Zhang's recent publications illustrate the diversity of their research interests. These include:

  • Laneformer: Object-Aware Row-Column Transformers for Lane Detection, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Detecting neutrinos from supernova bursts in PandaX-4T*, 2024, Chinese Physics C
  • Multistep Multiagent Reinforcement Learning for Optimal Energy Schedule Strategy of Charging Stations in Smart Grid., 2023, PubMed
  • Crystal growth engineering and origin of the weak ferromagnetism in antiferromagnetic matrix of orthochromates from t-e orbital hybridization, 2022, arXiv (Cornell University)
  • The nonlinear field equation of the three-point correlation function of galaxies, 2022, arXiv (Cornell University)

Yang Zhang has frequently published research in arXiv (Cornell University), contributing to five papers there. Additional contributions have appeared in Proceedings of the AAAI Conference on Artificial Intelligence, Chinese Physics C, PubMed, and Communications in Theoretical Physics.

Collaboration features prominently in Zhang's work, with frequent co-authors including Xiajun Deng, Xinyue Cai, Cheng Xu, Xiaodan Liang, and Binyu Pang.

Best Publications

  • I-TASSER: a unified platform for automated protein structure and function prediction

    Ambrish Roy;Alper Kucukural;Yang Zhang;Yang Zhang

  • The I-TASSER Suite: protein structure and function prediction

    Jianyi Yang;Renxiang Yan;Ambrish Roy;Dong Xu

  • I-TASSER server for protein 3D structure prediction.

    Yang Zhang

  • TM-align: a protein structure alignment algorithm based on the TM-score.

    Yang Zhang;Jeffrey Skolnick

  • Scoring function for automated assessment of protein structure template quality

    Yang Zhang;Jeffrey Skolnick

  • I-TASSER server: new development for protein structure and function predictions

    Jianyi Yang;Yang Zhang

  • Extensive translation of circular RNAs driven by N 6 -methyladenosine

    Yun Yang;Xiaojuan Fan;Miaowei Mao;Miaowei Mao;Xiaowei Song;Xiaowei Song

  • How significant is a protein structure similarity with TM-score = 0.5?

    Jinrui Xu;Yang Zhang

  • Improving the Physical Realism and Structural Accuracy of Protein Models by a Two-Step Atomic-Level Energy Minimization

    Dong Xu;Yang Zhang

  • Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment

    Jianyi Yang;Ambrish Roy;Yang Zhang

  • Ab initio protein structure assembly using continuous structure fragments and optimized knowledge-based force field.

    Dong Xu;Yang Zhang

  • LOMETS: a local meta-threading-server for protein structure prediction.

    Sitao Wu;Yang Zhang

  • COFACTOR: an accurate comparative algorithm for structure-based protein function annotation

    Ambrish Roy;Jianyi Yang;Yang Zhang

  • BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions

    Jianyi Yang;Ambrish Roy;Yang Zhang

  • Progress and challenges in protein structure prediction.

    Yang Zhang

  • Ab initio modeling of small proteins by iterative TASSER simulations

    Sitao Wu;Jeffrey Skolnick;Yang Zhang

  • Coordinated circRNA Biogenesis and Function with NF90/NF110 in Viral Infection

    Xiang Li;Chu-Xiao Liu;Wei Xue;Yang Zhang

  • COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information

    Chengxin Zhang;Peter L. Freddolino;Yang Zhang

  • Template‐based modeling and free modeling by I‐TASSER in CASP7

    Yang Zhang

  • Protein Structure and Function Prediction Using I‐TASSER

    Jianyi Yang;Jianyi Yang;Yang Zhang

Frequent Co-Authors

Jeffrey Skolnick
Jeffrey Skolnick Georgia Institute of Technology
Jianyi Yang
Jianyi Yang Nankai University
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Minghou Xu
Minghou Xu Huazhong University of Science and Technology
Gilbert S. Omenn
Gilbert S. Omenn University of Michigan–Ann Arbor
Guangyuan He
Guangyuan He Huazhong University of Science and Technology
Guangxiao Yang
Guangxiao Yang Huazhong University of Science and Technology
Daisuke Kihara
Daisuke Kihara Purdue University West Lafayette
Andrzej Kolinski
Andrzej Kolinski University of Warsaw
Jeffrey R. Brender
Jeffrey R. Brender National Institutes of Health

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