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Rong Jin

Active 1999–2026

630
Papers
44,822
Citations
101
h-index
401
i10-index

Citations

Citations per year for Rong Jin1960: 1 citations1983: 1 citations1985: 1 citations1989: 1 citations1990: 1 citations1992: 1 citations1995: 3 citations1997: 2 citations1998: 1 citations2000: 2 citations2001: 6 citations2002: 11 citations2003: 25 citations2004: 73 citations2005: 98 citations2006: 145 citations2007: 211 citations2008: 301 citations2009: 395 citations2010: 512 citations2011: 656 citations2012: 822 citations2013: 931 citations2014: 993 citations2015: 1,007 citations2016: 1,045 citations2017: 1,069 citations2018: 1,104 citations2019: 1,402 citations2020: 1,547 citations2021: 1,632 citations2022: 1,332 citations2023: 1,419 citations2024: 1,745 citations2025: 4,535 citations2026: 2,339 citations2027: 1 citations1961–1982: no citations, so these years are not shown1984: no citations, so this year is not shown1986–1988: no citations, so these years are not shown1991: no citations, so this year is not shown1993–1994: no citations, so these years are not shown1996: no citations, so this year is not shown1999: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 7,251 citing papers, 31.8% of this breakdownUnited States: 4,686 citing papers, 20.5% of this breakdownUnited Kingdom: 836 citing papers, 3.7% of this breakdownAustralia: 772 citing papers, 3.4% of this breakdownHong Kong: 671 citing papers, 2.9% of this breakdownGermany: 622 citing papers, 2.7% of this breakdownSingapore: 612 citing papers, 2.7% of this breakdownIndia: 611 citing papers, 2.7% of this breakdownCanada: 600 citing papers, 2.6% of this breakdownFrance: 540 citing papers, 2.4% of this breakdownJapan: 499 citing papers, 2.2% of this breakdownItaly: 443 citing papers, 1.9% of this breakdown
0%31.8%Other 20.5%

Institutions

Fields

  • Computer Science66.1%
  • Engineering7.1%
  • Medicine5.7%
  • Biochemistry, Genetics and Molecular Biology5.4%
  • Decision Sciences3%
  • Neuroscience2.7%
  • Other10%

Topics

  • Topic Modeling4.2%
  • Advanced Image and Video Retrieval Techniques3.6%
  • Image Retrieval and Classification Techniques2.9%
  • Multimodal Machine Learning Applications2.8%
  • Face and Expression Recognition2.6%
  • Domain Adaptation and Few-Shot Learning2.6%
  • Other81.3%

Coauthors

All papers

Open in search
  1. DeepSeek-V3 Technical Report

    Authors: DeepSeek-AI, Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bowen Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Dai, Fucong, Fuli Luo, Guangbo Hao, Guan-Ting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qü, Jiali Cai, Jian Liang, Jianzhong Guo, Ni Jiang, Jiashi Li, J. Wang, Chen Jin, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong Li, Junxiao Song, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Lei Xu, L. Xia, Liang Zhao, Litong Wang, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qiancheng Wang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, Rong Jin, Ruiqi Ge, Ruisong Zhang, Pan, Ruizhe, Runji Wang, Runxin Xu, Ruoyu Zhang, Ruyi Chen, Shangrong Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Shuting Pan, Tong Wang, Tao Yun, Tian Pei, Tianyu Sun, Wenlian Xiao, Wangding Zeng and 100 more - arXiv (Cornell University), CoRR 2024 cited by 5,153

  2. FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

    Authors: Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin - AI for Time Series, ICML 2022 cited by 3,324

  3. Understanding bag-of-words model: a statistical framework

    Authors: Yin Zhang, Rong Jin, Zhi-Hua Zhou - International Journal of Machine Learning and Cybernetics, Int. J. Mach. Learn. Cybern. 2010 cited by 1,372

  4. MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

    Authors: Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan - ICLR 2025 cited by 259

  5. One Fits All: Power General Time Series Analysis by Pretrained LM

    Authors: Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 1,009

  6. Jailbreaking Attack against Multimodal Large Language Model

    Authors: Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua, Rong Jin - arXiv (Cornell University), CoRR 2024 cited by 153

  7. Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition

    Authors: Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 152

  8. SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

    Authors: Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin - IEEE/CVF International Conference on Computer Vision (ICCV) 2019 cited by 377

  9. Missing Modalities Imputation via Cascaded Residual Autoencoder

    Authors: Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 227

  10. Aspirin promotes RSL3-induced ferroptosis by suppressing mTOR/SREBP-1/SCD1-mediated lipogenesis in PIK3CA-mutant colorectal cancer

    Authors: Hao Chen, Qinqin Qi, Nan Wu, Ying Wang, Qian Feng, Rong Jin, Lei Jiang - Redox Biology 2022 cited by 156

  11. The Gut Microbiome Is Associated with Clinical Response to Anti–PD-1/PD-L1 Immunotherapy in Gastrointestinal Cancer

    Authors: Zhi Peng, Siyuan Cheng, Yan Kou, Ziqi Wang, Rong Jin, Hu Han, Xiaotian Zhang, Jifang Gong, Jian Li, Ming Lu, Xicheng Wang, Jun Zhou, Zhihao Lü, Quan Zhang, David T.W. Tzeng, Dongtao Bi, Yan Tan, Lin Shen - Cancer Immunology Research 2020 cited by 351

  12. CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

    Authors: Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin - ICLR 2022 cited by 303

  13. Inflammatory mechanisms in ischemic stroke: role of inflammatory cells

    Authors: Rong Jin, Yang Guo-jun, Guohong Li - Journal of Leukocyte Biology 2010 cited by 1,534

  14. FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

    Authors: Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 367

  15. Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

    Authors: Yifan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin - arXiv (Cornell University), CoRR 2024 cited by 63

  16. MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

    Authors: Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Fan Yang, Zhang Zhang, Tingting Gao, Di Zhang, Liang Wang, Rong Jin, Tieniu Tan - ICML 2025 cited by 94

  17. Debiasing Multimodal Large Language Models via Penalization of Language Priors

    Authors: Yifan Zhang, Yang Shi, Weichen Yu, Qingsong Wen, Xue Wang, Wenjing Yang, Zhang Zhang, Liang Wang, Rong Jin - International Conference on Multimedia, ACM Multimedia 2025 cited by 58

  18. Active Learning by Querying Informative and Representative Examples

    Authors: Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2010 cited by 731

  19. Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

    Authors: Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin - arXiv (Cornell University), CoRR 2021 cited by 59

  20. Entroformer: A Transformer-based Entropy Model for Learned Image Compression

    Authors: Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin - ICLR 2022 cited by 207

  21. A Novel Convergence Analysis for Algorithms of the Adam Family

    Authors: Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang - arXiv (Cornell University), CoRR 2021 cited by 48

  22. Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM

    Authors: Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin - AAAI Conference on Artificial Intelligence 2018 cited by 250

  23. Intracellular Wireless Analysis of Single Cells by Bipolar Electrochemiluminescence Confined in a Nanopipette

    Authors: Yuling Wang, Rong Jin, Nešo Šojić, Dechen Jiang, Hong‐Yuan Chen - Angewandte Chemie 2020 cited by 208

  24. Detecting communities and their evolutions in dynamic social networks - a Bayesian approach

    Authors: Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin - Machine Learning, Mach. Learn. 2010 cited by 318