Xiang Ren

Active 1994–2026

652
Papers
38,705
Citations
90
h-index
481
i10-index

Citations

Citations per year for Xiang Ren1992: 1 citations1994: 3 citations1995: 3 citations1997: 1 citations2000: 1 citations2002: 1 citations2003: 1 citations2004: 1 citations2008: 2 citations2009: 4 citations2010: 7 citations2011: 12 citations2012: 26 citations2013: 23 citations2014: 67 citations2015: 82 citations2016: 177 citations2017: 251 citations2018: 610 citations2019: 1,380 citations2020: 1,740 citations2021: 1,915 citations2022: 1,991 citations2023: 2,260 citations2024: 2,978 citations2025: 2,397 citations2026: 574 citations2027: 1 citations1993: no citations, so this year is not shown1996: no citations, so this year is not shown1998–1999: no citations, so these years are not shown2001: no citations, so this year is not shown2005–2007: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,696 citing papers, 40.8% of this breakdownUnited States: 2,714 citing papers, 16.5% of this breakdownUnited Kingdom: 634 citing papers, 3.9% of this breakdownAustralia: 458 citing papers, 2.8% of this breakdownSouth Korea: 421 citing papers, 2.6% of this breakdownGermany: 378 citing papers, 2.3% of this breakdownIndia: 378 citing papers, 2.3% of this breakdownCanada: 360 citing papers, 2.2% of this breakdownHong Kong: 348 citing papers, 2.1% of this breakdownSingapore: 313 citing papers, 1.9% of this breakdownItaly: 256 citing papers, 1.6% of this breakdownJapan: 233 citing papers, 1.4% of this breakdown
0%40.8%Other 19.6%

Fields

  • Computer Science52.7%
  • Biochemistry, Genetics and Molecular Biology14.1%
  • Medicine9.9%
  • Engineering5.4%
  • Chemical Engineering3.3%
  • Materials Science2.3%
  • Other12.3%

Topics

  • Topic Modeling10.1%
  • Advanced Graph Neural Networks6.2%
  • Natural Language Processing Techniques5.1%
  • Advanced biosensing and bioanalysis techniques4.1%
  • Recommender Systems and Techniques2.7%
  • Multimodal Machine Learning Applications2%
  • Other69.8%

Coauthors

All papers

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  1. LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

    Authors: , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2023 cited by 275

  2. WildChat: 1M ChatGPT Interaction Logs in the Wild

    Authors: , , , , , - ICLR 2024 cited by 620

  3. Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs

    Authors: , , , - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 cited by 358

  4. Faith and Fate: Limits of Transformers on Compositionality

    Authors: , , , , , , , , , , , , , , , - NeurIPS 2023 cited by 654

  5. Dataless Knowledge Fusion by Merging Weights of Language Models

    Authors: , , , - ICLR 2023 cited by 411

  6. Etiological and epidemiological features of acute respiratory infections in China

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Huaiqi Jing, Liuyu Huang, Wenbo Xu, Yu Chen, Jianguo Wu, Zhenghong Yuan, Mengfeng Li, Yu Wang, Liping Wang, Li‐Qun Fang, Wei Liu, Simon I Hay, George F. Gao, Weizhong Yang, Weizhong Yang, George F. Gao, Zhongjie Li, Liping Wang, Xiang Ren, Yifei Wang, Sheng-Hong Lin, Cuihong Zhang, Mengjie Geng, Xin Wang, Huaiqi Jing, Wenbo Xu, Ai‐Li Cui, Yujuan Shen, Yanyan Jiang, Qiao Sun, Lipeng Hao, Chuchu Ye, Wei Liu, Xiao‐Ai Zhang, Liuyu Huang, Yong Wang, Wenyi Zhang, Qi Zhang, Weiyong Liu, Ziyong Sun, Fa-Xian Zhan, Ying Xiong, Deshan Yu, Chun-Xiang Wang, Shengcang Zhao, Wenrui Wang, Xia Lei, Juansheng Li, Yuhong Wang, Yan Zhang, Jun-Peng Yang, Yanbo Wang, Fu-Cai Quan, Xiong Zhi-jun, Liping Liang, Quan-E Chang, Yun Wang, Ping Wang, Lingling Mao, Jiameng Li, Likun Lv, Jun Xu, Chang Shu, Xiao Chen, Yu Chen, Yanjun Zhang, Lunbiao Cui, Kuicheng Zheng, Xingguo Zhang, Xi Zhang and 24 more - Nature Communications 2021 cited by 529

  7. Personalized entity recommendation: a heterogeneous information network approach

    Authors: , , , , , , , - international conference on Web search and data mining, WSDM 2014 cited by 745

  8. Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study

    Authors: , , , , , , , , , , , , , , , - The Lancet Respiratory Medicine 2022 cited by 611

  9. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

    Authors: , , , , , , , , , , , , , , , , , , , , ;, , , , , ;, , , ;, , Kien Pham, Acio Santos, Juliana Freire, Jiezhong Qiu, ;, Yuxiao Dong, Hao Ma, ; Jie Tang, Hongwei Wang, ( Shanghai, Jiao Tong University, &, Zihan Wang, Ziheng Jiang, Zhaochun Ren, Xiaohui Xie, Yiqun Liu, ;, Min Zhang, Shaoping Ma, Qian Yu, Wai Lam, Xian Zhou, Yanyan Shen, Yanmin Zhu, Linpeng Huang, ( Shanghai, Jiao Tong, University, Sutanay Choudhury, Sumit Purohit, ), Peng Lin, Yinghui Wu, Lawrence Holder, Xiang Ren, Craig Knoblock, ; California, ), William Wang, Yu Su, ;, Santa Barbara, Rishabh Mehrotra, ; Ahmed, Hassan Awadallah, Mihajlo Grbovic, Thanasis Noulas (airbnb, Inc, Jiejun Xu, ( Hrl Laboratories, ) Llc, Hanghang Tong, ), Tsai-Ching Lu, (hrl Laboratories, ) Llc, Jingrui He, Chengxiang Zhai, Yan Liu, Hui Fang - WSDM 2018 cited by 354

  10. Hierarchical Graph Representation Learning with Differentiable Pooling

    Authors: , , , , , - Neural Information Processing Systems, NeurIPS 2018 cited by 2,540

  11. Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step

    Authors: , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2023 cited by 78

  12. How FaR Are Large Language Models From Agents with Theory-of-Mind?

    Authors: , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 73

  13. A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models

    Authors: , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 116

  14. Object detection from UAV thermal infrared images and videos using YOLO models

    Authors: , , , , , , , , - International Journal of Applied Earth Observation and Geoinformation, Int. J. Appl. Earth Obs. Geoinformation 2022 cited by 210

  15. Dynamic Network Embedding by Modeling Triadic Closure Process

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2018 cited by 504

  16. SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures

    Authors: , , , , , , , , , - NeurIPS 2024 cited by 126

  17. Aggregation-Induced Electrochemiluminescence Frame of Silica-Confined Tetraphenylethylene Derivative Matrixes for CD44 Detection via Peptide Recognition

    Authors: , , , , , , - Analytical Chemistry 2023 cited by 90

  18. Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection

    Authors: , , , , , , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL-HLT 2024 cited by 60

  19. Encapsulation of Tetraphenylethylene Derivative in Liposome Vesicles as Promising Aggregation-Induced Electrochemiluminescence Emitter for Detection of Human Epidermal Growth Factor Receptor 2

    Authors: , , , , , , - Analytical Chemistry 2023 cited by 81

  20. FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

    Authors: , , , , , , , , , - Findings of the Association for Computational Linguistics: NAACL 2022, NAACL-HLT (Findings) 2022 cited by 113

  21. SCOTT: Self-Consistent Chain-of-Thought Distillation

    Authors: , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2023 cited by 57

  22. Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty

    Authors: , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 54

  23. Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Authors: , , , , , , , , - The World Wide Web Conference, WWW 2019 cited by 219

  24. Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement

    Authors: , , , , , , , , , , - ICLR 2024 cited by 124