Ming Zhang

Active 1972–2027

This name may cover more than one researcher. The papers and figures on this page are everything published under it, so they may combine several different people.

Also published as
Ming -Zhang
3,237
Papers
212,268
Citations
221
h-index
2,192
i10-index

Citations

Citations per year for Ming Zhang1905: 1 citations1967: 2 citations1969: 2 citations1971: 1 citations1972: 1 citations1973: 4 citations1974: 1 citations1976: 1 citations1982: 1 citations1988: 3 citations1989: 1 citations1990: 1 citations1991: 2 citations1992: 2 citations1993: 4 citations1994: 15 citations1995: 25 citations1996: 26 citations1997: 33 citations1998: 62 citations1999: 101 citations2000: 151 citations2001: 190 citations2002: 234 citations2003: 287 citations2004: 295 citations2005: 359 citations2006: 416 citations2007: 510 citations2008: 635 citations2009: 747 citations2010: 905 citations2011: 1,116 citations2012: 1,268 citations2013: 1,642 citations2014: 1,848 citations2015: 2,190 citations2016: 2,427 citations2017: 2,789 citations2018: 3,097 citations2019: 5,541 citations2020: 7,306 citations2021: 8,236 citations2022: 7,512 citations2023: 6,878 citations2024: 10,110 citations2025: 7,629 citations2026: 1,627 citations2027: 5 citations1906–1966: no citations, so these years are not shown1968: no citations, so this year is not shown1970: no citations, so this year is not shown1975: no citations, so this year is not shown1977–1981: no citations, so these years are not shown1983–1987: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 29,176 citing papers, 30.5% of this breakdownUnited States: 17,265 citing papers, 18.1% of this breakdownUnited Kingdom: 3,956 citing papers, 4.1% of this breakdownGermany: 2,952 citing papers, 3.1% of this breakdownIndia: 2,719 citing papers, 2.8% of this breakdownAustralia: 2,566 citing papers, 2.7% of this breakdownItaly: 2,536 citing papers, 2.7% of this breakdownCanada: 2,529 citing papers, 2.6% of this breakdownSouth Korea: 2,051 citing papers, 2.1% of this breakdownFrance: 1,983 citing papers, 2.1% of this breakdownJapan: 1,950 citing papers, 2% of this breakdownHong Kong: 1,884 citing papers, 2% of this breakdown
0%30.5%Other 25.2%

Fields

  • Computer Science28.8%
  • Medicine23.1%
  • Biochemistry, Genetics and Molecular Biology17.1%
  • Engineering10.7%
  • Environmental Science3%
  • Immunology and Microbiology2.6%
  • Other14.7%

Topics

  • Gut microbiota and health2.1%
  • Advanced Graph Neural Networks2%
  • Topic Modeling1.5%
  • Software-Defined Networks and 5G1.5%
  • Cloud Computing and Resource Management1.3%
  • Complex Network Analysis Techniques1.2%
  • Other90.4%

Coauthors

All papers

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  1. The Rise and Potential of Large Language Model Based Agents: A Survey

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 956

  2. LINE: Large-scale Information Network Embedding

    Authors: , , , , , - Conference on World Wide Web, WWW 2015 cited by 4,696

  3. A metagenome-wide association study of gut microbiota in type 2 diabetes

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Meihua Gong, Jing Yu, Yanyan Zhang, Ming Zhang, Torben Hansen, Gastón Sánchez, Jeroen Raes, Gwen Falony, Shujiro Okuda, Mathieu Almeida, Emmanuelle Le-chatelier, Pierre Renault, Nicolas Pons, Jean-Michel Batto, Zhaoxi Zhang, Hua Chen, Ruifu Yang, Wei‐Mou Zheng, Songgang Li, Huanming Yang, Jian Wang, S. Dusko Ehrlich, Rasmus Nielsen, Oluf Pedersen, Karsten Kristiansen, Jun Wang, Jun Wang, Jun Wang - Nature 2012 cited by 7,033

  4. The rise and potential of large language model based agents: a survey

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Science China Information Sciences, Sci. China Inf. Sci. 2025 cited by 404

  5. AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

    Authors: , , , , , , - International Conference on Information and Knowledge Management, CIKM 2019 cited by 731

  6. HPCC: high precision congestion control

    Authors: , , , , , , , , , , - Special Interest Group on Data Communication, SIGCOMM 2019 cited by 594

  7. Large Language Model Agent: A Survey on Methodology, Applications and Challenges

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 218

  8. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

    Authors: , , , , , , , , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 cited by 201

  9. GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

    Authors: , , , , , - ICLR 2020 cited by 556

  10. Aberrant gut microbiota alters host metabolome and impacts renal failure in humans and rodents

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yuchan Zhang, Xingqi Li, Weiqian Liu, Rui Xue, Hong Wu, Donghua Shao, Junling Li, Yuanjie Zhou, Shaochuan Li, Rentao Yang, Oluf Pedersen, Zhengquan Yu, S. Dusko Ehrlich, Fazheng Ren - Gut 2020 cited by 567

  11. Achieving high utilization with software-driven WAN

    Authors: , , , , , , - ACM SIGCOMM Computer Communication Review 2013 cited by 1,053

  12. Closely related T-memory stem cells correlate with in vivo expansion of CAR.CD19-T cells and are preserved by IL-7 and IL-15

    Authors: , , , , , , , , , , , , - Blood 2014 cited by 736

  13. Session-Based Social Recommendation via Dynamic Graph Attention Networks

    Authors: , , , , , - Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019 cited by 465

  14. Combating Fake News: A Survey on Identification and Mitigation Techniques

    Authors: , , , , , - ACM Transactions on Intelligent Systems and Technology, ACM Trans. Intell. Syst. Technol. 2019 cited by 500

  15. Congestion Control for Large-Scale RDMA Deployments

    Authors: , , , , , , , , , - ACM SIGCOMM Computer Communication Review 2015 cited by 392

  16. A Survey of Reasoning with Foundation Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li - arXiv (Cornell University), CoRR 2023 cited by 99

  17. The Vigorous Immune Microenvironment of Microsatellite Instable Colon Cancer Is Balanced by Multiple Counter-Inhibitory Checkpoints

    Authors: , , , , , , , , , , , , , , , , , - Cancer Discovery 2014 cited by 1,457

  18. Heavy metals in food crops: Health risks, fate, mechanisms, and management

    Authors: , , , , - Environment International 2019 cited by 1,967

  19. A Programmable Qudit-based Quantum Processor

    Authors: , , , , , , , , , , , , , , , , , , , , , - CLEO 2023 2022 cited by 258

  20. DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation

    Authors: , , , , , - International Conference on Information & Knowledge Management, CIKM 2020 cited by 162

  21. A bioactive composite hydrogel dressing that promotes healing of both acute and chronic diabetic skin wounds

    Authors: , , , , , - Bioactive Materials 2024 cited by 135

  22. Partial FC: Training 10 Million Identities on a Single Machine

    Authors: , , , , , , , , , , - IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2021 cited by 189

  23. Multicenter, single-arm, phase II trial of camrelizumab and chemotherapy as neoadjuvant treatment for locally advanced esophageal squamous cell carcinoma

    Authors: , , , , , , , , , , , , , , , - Journal for ImmunoTherapy of Cancer 2022 cited by 278

  24. Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination

    Authors: , , , , , , , , , , , , , - AAAI Conference on Artificial Intelligence 2026 cited by 64