Bin Zhu

Active 1992–2026

1,015
Papers
65,049
Citations
128
h-index
660
i10-index

Citations

Citations per year for Bin Zhu1959: 1 citations1985: 1 citations1991: 1 citations1993: 1 citations1994: 2 citations1995: 5 citations1996: 7 citations1997: 14 citations1998: 23 citations1999: 31 citations2000: 36 citations2001: 26 citations2002: 35 citations2003: 47 citations2004: 54 citations2005: 56 citations2006: 65 citations2007: 92 citations2008: 95 citations2009: 124 citations2010: 143 citations2011: 139 citations2012: 142 citations2013: 191 citations2014: 361 citations2015: 375 citations2016: 367 citations2017: 497 citations2018: 733 citations2019: 1,345 citations2020: 2,141 citations2021: 2,266 citations2022: 1,974 citations2023: 1,812 citations2024: 3,144 citations2025: 2,751 citations2026: 599 citations1960–1984: no citations, so these years are not shown1986–1990: no citations, so these years are not shown1992: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 7,849 citing papers, 32.6% of this breakdownUnited States: 3,492 citing papers, 14.5% of this breakdownUnited Kingdom: 1,050 citing papers, 4.4% of this breakdownIndia: 743 citing papers, 3.1% of this breakdownGermany: 680 citing papers, 2.8% of this breakdownItaly: 674 citing papers, 2.8% of this breakdownAustralia: 629 citing papers, 2.6% of this breakdownCanada: 599 citing papers, 2.5% of this breakdownSpain: 512 citing papers, 2.1% of this breakdownFrance: 456 citing papers, 1.9% of this breakdownSouth Korea: 398 citing papers, 1.6% of this breakdownJapan: 375 citing papers, 1.6% of this breakdown
0%32.6%Other 27.5%

Fields

  • Medicine23.5%
  • Computer Science19.7%
  • Biochemistry, Genetics and Molecular Biology18%
  • Decision Sciences9.2%
  • Engineering6.3%
  • Psychology3.1%
  • Other20.2%

Topics

  • Multi-Criteria Decision Making3.2%
  • Multimodal Machine Learning Applications1.6%
  • COVID-19 Clinical Research Studies1.4%
  • Cancer-related molecular mechanisms research1.2%
  • Optimization and Mathematical Programming1.1%
  • Rough Sets and Fuzzy Logic1.1%
  • Other90.4%

Coauthors

All papers

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  1. Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

    Authors: , , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 cited by 871

  2. Open-Sora Plan: Open-Source Large Video Generation Model

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 247

  3. LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

    Authors: , , , , , , , , , , , , , - ICLR 2024 cited by 452

  4. Contribution of ferroptosis and GPX4’s dual functions to osteoarthritis progression

    Authors: , , , , , , , , - EBioMedicine 2022 cited by 470

  5. Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

    Authors: , , , , , , , - SIGKDD Conference on Knowledge Discovery and Data Mining V.1, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 2025 cited by 129

  6. Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-Based Large Language Models

    Authors: , , , , , , , - Computational Visual Media, Comput. Vis. Media 2025 cited by 96

  7. Schwann cell-derived exosomes containing MFG-E8 modify macrophage/microglial polarization for attenuating inflammation via the SOCS3/STAT3 pathway after spinal cord injury

    Authors: , , , , , , , , , - Cell Death and Disease 2023 cited by 164

  8. Apoptotic bodies derived from mesenchymal stem cells promote cutaneous wound healing via regulating the functions of macrophages

    Authors: , , , , , , , , , , , , , , , - Stem Cell Research & Therapy 2020 cited by 178

  9. Genomic and evolutionary classification of lung cancer in never smokers

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jian Sang, Jung Kim, Laura Mendoza, Natalie Saini, Leszek J. Klimczak, S. M. Ashiqul Islam, Burçak Otlu, Azhar Khandekar, Nathan Cole, Douglas R. Stewart, Jiyeon Choi, Kevin M. Brown, Neil E. Caporaso, Samuel H. Wilson, Yves Pommier, Qing Lan, Nathaniel Rothman, Jonas S. Almeida, Hannah Carter, Thomas Ried, Carla F. Kim, Núria López-Bigas, Montserrat García‐Closas, Jianxin Shi, Yohan Bossé, Bin Zhu, Dmitry A. Gordenin, Ludmil B. Alexandrov, Stephen J. Chanock, David C. Wedge, Maria Teresa Landi - Nature Genetics 2021 cited by 242

  10. Differentially Private Federated Learning With an Adaptive Noise Mechanism

    Authors: , , , , , , - IEEE Transactions on Information Forensics and Security, IEEE Trans. Inf. Forensics Secur. 2023 cited by 63

  11. Dual Hesitant Fuzzy Sets

    Authors: , , - Journal of Applied Mathematics, J. Appl. Math. 2012 cited by 655

  12. Osteosarcoma: A Surveillance, Epidemiology, and End Results program‐based analysis from 1975 to 2017

    Authors: , , , - Cancer 2022 cited by 259

  13. Schwann Cell-Derived Exosomes and Methylprednisolone Composite Patch for Spinal Cord Injury Repair

    Authors: , , , , , , , , , , , - ACS Nano 2023 cited by 88

  14. An efficient data aggregation scheme with local differential privacy in smart grid

    Authors: , , , , , - Digital Communications and Networks, Digit. Commun. Networks 2022 cited by 70

  15. Learning a deep dual-level network for robust DeepFake detection

    Authors: , , , , , , , , , - Pattern Recognition, Pattern Recognit. 2022 cited by 67

  16. FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions

    Authors: , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 cited by 82

  17. Exosomes released from educated mesenchymal stem cells accelerate cutaneous wound healing via promoting angiogenesis

    Authors: , , , , , , , , , , , , , , , , - Cell Proliferation 2020 cited by 157

  18. Characterization of cancer-related fibroblasts (CAF) in hepatocellular carcinoma and construction of CAF-based risk signature based on single-cell RNA-seq and bulk RNA-seq data

    Authors: , , , , , , , , - Frontiers in Immunology 2022 cited by 150

  19. R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network

    Authors: , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 139

  20. Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ene Reimann, Bindu Swapna Madala, Tim R. Mercer, Chris Miller, Howard J. Jacob, Tiffany Truong, Ali Moshrefi, Aparna Natarajan, Ana Granat, Gary P. Schroth, Rasika Kalamegham, Eric Peters, Virginie Petitjean, Ashley Walton, Tsai-Wei Shen, Keyur Talsania, Cristobal Juan Vera, Kurt J. Langenbach, Maryellen de Mars, Jennifer Hipp, James C. Willey, Jing Wang, Jyoti Shetty, Yuliya Kriga, Arati Raziuddin, Bao Tran, Yuanting Zheng, Ying Yu, Margaret C. Cam, Parthav Jailwala, Cu Nguyen, Daoud Meerzaman, Qingrong Chen, Chunhua Yan, Ben Ernest, Urvashi Mehra, Roderick V. Jensen, Wendell Jones, Jian‐Liang Li, Brian N. Papas, Mehdi Pirooznia, Yunching Chen, Fayaz Seifuddin, Zhipan Li, Xue‐Lu Liu, Wolfgang Resch, Jingya Wang, Leihong Wu, Gökhan Yavaş, Corey J. Miles, Baitang Ning, Weida Tong, Christopher E. Mason, Eric Donaldson, Samir Lababidi, Louis M. Staudt, Živana Težak, Huixiao Hong, Charles Wang, Leming Shi - Nature Biotechnology 2021 cited by 213

  21. A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2020 cited by 107

  22. Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Pian Ye, Bin Zhu, Lu Wang, Wenqing Zhou, Shengsong He, Yongwen He, Shenghua Jie, Ping Wei, Jianao Zhang, Yinping Lu, Weixian Wang, Li Zhang, Ling Li, Fengqin Zhou, Jun Wang, Ulf Dittmer, Mengji Lu, Yu Hu, Dongliang Yang, Xin Zheng - EBioMedicine 2020 cited by 1,742

  23. Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Monika Mehta, Tiffany Hung, Eric Peters, Rasika Kalamegham, Sayed Mohammad Ebrahim Sahraeian, Marghoob Mohiyuddin, Yunfei Guo, Lijing Yao, Lei Song, Hugo Y. K. Lam, Jiri Drabek, Petr Vojta, Roberta Maestro, Daniela Gasparotto, Sulev Kõks, Ene Reimann, Andreas Scherer, Jessica Nordlund, Ulrika Liljedahl, Roderick V. Jensen, Mehdi Pirooznia, Zhipan Li, Chunlin Xiao, Stephen T. Sherry, Rebecca Kusko, Malcolm Moos, Eric Donaldson, Živana Težak, Baitang Ning, Weida Tong, Jing Li, Penelope Duerken-Hughes, Claudia Catalanotti, Shamoni Maheshwari, Joe Shuga, Winnie S. Liang, Jonathan Keats, Jonathan Adkins, Erica E. Tassone, Victoria Zismann, Timothy K. McDaniel, Jeffrey M. Trent, Jonathan Foox, Daniel Butler, Christopher E. Mason, Huixiao Hong, Leming Shi, Charles Wang, Wenming Xiao, Ogan D. Abaan, Meredith Ashby, Ozan Aygün, Xiaopeng Bian, Thomas M. Blomquist, Pierre R. Bushel, Margaret C. Cam, Fabien Campagne, Qingrong Chen, Tao Chen, Xin Chen, Yunching Chen, Han‐Yu Chuang, Maryellen de Mars, Youping Deng, Eric Donaldson, Jiri Drabek, Ben Ernest, Jonathan Foox, Don Freed, Paul G. Giresi and 86 more - Nature Biotechnology 2021 cited by 149

  24. Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey

    Authors: , , , , , - ACM Transactions on Intelligent Systems and Technology, ACM Trans. Intell. Syst. Technol. 2026 cited by 32