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Enhong Chen

2001–2026 年に発表

1,013
論文数
33,004
被引用数
87
h 指数
513
i10 指数

被引用数

Enhong Chen の年別被引用数1967 年: 被引用 1 件1969 年: 被引用 1 件1971 年: 被引用 1 件1977 年: 被引用 1 件1982 年: 被引用 1 件1999 年: 被引用 1 件2003 年: 被引用 8 件2004 年: 被引用 6 件2005 年: 被引用 11 件2006 年: 被引用 8 件2007 年: 被引用 12 件2008 年: 被引用 24 件2009 年: 被引用 43 件2010 年: 被引用 76 件2011 年: 被引用 104 件2012 年: 被引用 168 件2013 年: 被引用 227 件2014 年: 被引用 327 件2015 年: 被引用 456 件2016 年: 被引用 655 件2017 年: 被引用 907 件2018 年: 被引用 1,229 件2019 年: 被引用 1,642 件2020 年: 被引用 1,862 件2021 年: 被引用 2,156 件2022 年: 被引用 2,133 件2023 年: 被引用 2,436 件2024 年: 被引用 3,185 件2025 年: 被引用 4,261 件2026 年: 被引用 1,514 件2027 年: 被引用 2 件1968 年は被引用が無いため表示していません1970 年は被引用が無いため表示していません1972〜1976 年は被引用が無いため表示していません1978〜1981 年は被引用が無いため表示していません1983〜1998 年は被引用が無いため表示していません2000〜2002 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 8,963 件、この内訳の 41.3%アメリカ合衆国: 引用元論文 3,262 件、この内訳の 15.1%オーストラリア: 引用元論文 811 件、この内訳の 3.7%香港: 引用元論文 779 件、この内訳の 3.6%イギリス: 引用元論文 762 件、この内訳の 3.5%インド: 引用元論文 616 件、この内訳の 2.8%シンガポール: 引用元論文 495 件、この内訳の 2.3%カナダ: 引用元論文 470 件、この内訳の 2.2%日本: 引用元論文 460 件、この内訳の 2.1%韓国: 引用元論文 409 件、この内訳の 1.9%ドイツ: 引用元論文 389 件、この内訳の 1.8%イタリア: 引用元論文 323 件、この内訳の 1.5%
0%41.3%その他 18.2%

機関

分野

  • Computer Science75%
  • Engineering4.6%
  • Social Sciences4.4%
  • Physics and Astronomy3.6%
  • Medicine2.6%
  • Decision Sciences1.8%
  • その他8%

トピック

  • Topic Modeling6.5%
  • Recommender Systems and Techniques6%
  • Advanced Graph Neural Networks4.2%
  • Natural Language Processing Techniques2.8%
  • Multimodal Machine Learning Applications2.7%
  • Human Mobility and Location-Based Analysis2.2%
  • その他75.6%

共著者

全論文

検索で開く
  1. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

    著者: Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 被引用: 645

  2. A Survey on Multimodal Large Language Models

    著者: Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, Enhong Chen - National Science Review 2024 被引用: 614

  3. Understanding the planning of LLM agents: A survey

    著者: Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen - arXiv (Cornell University), CoRR 2024 被引用: 367

  4. A Survey on Large Language Models for Recommendation

    著者: Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen - World Wide Web, World Wide Web (WWW) 2024 被引用: 328

  5. Woodpecker: Hallucination Correction for Multimodal Large Language Models

    著者: Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, Enhong Chen - Science China Information Sciences, Sci. China Inf. Sci. 2024 被引用: 192

  6. When large language models meet personalization: perspectives of challenges and opportunities

    著者: Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen - World Wide Web, World Wide Web (WWW) 2024 被引用: 285

  7. ToolACE: Winning the Points of LLM Function Calling

    著者: Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Z. Wang, Yuxian Wang, Ning Wu, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen - ICLR 2025 被引用: 198

  8. Single Image Dehazing Using Saturation Line Prior

    著者: Pengyang Ling, Huaian Chen, Xiao Tan, Yi Jin, Enhong Chen - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2023 被引用: 178

  9. Large Language Models for Generative Information Extraction: A Survey

    著者: Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen - Frontiers of Computer Science, Frontiers Comput. Sci. 2024 被引用: 218

  10. Learning Process-consistent Knowledge Tracing

    著者: Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang - SIGKDD Conference on Knowledge Discovery & Data Mining 2021 被引用: 153

  11. NeuralCD: A General Framework for Cognitive Diagnosis

    著者: Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2022 被引用: 136

  12. Geography-Aware Sequential Location Recommendation

    著者: Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen - SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 被引用: 244

  13. Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks

    著者: Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao - Lecture notes in computer science, WAIM 2014 被引用: 650

  14. Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer

    著者: Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li - Web Conference 2023, WWW 2023 被引用: 86

  15. Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect

    著者: Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen - SIGIR Conference on Research and Development in Information Retrieval 2022 被引用: 112

  16. Learning Deep Representations for Graph Clustering

    著者: Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu - AAAI Conference on Artificial Intelligence 2014 被引用: 677

  17. Exercise-Enhanced Sequential Modeling for Student Performance Prediction

    著者: Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu - AAAI Conference on Artificial Intelligence 2018 被引用: 256

  18. Structure-based Knowledge Tracing: An Influence Propagation View

    著者: Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang - IEEE International Conference on Data Mining (ICDM) 2020 被引用: 119

  19. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation

    著者: Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Rui Yong - SIGKDD international conference on Knowledge discovery and data mining 2014 被引用: 608

  20. A two-stage 3D CNN based learning method for spontaneous micro-expression recognition

    著者: Sirui Zhao, Hanqing Tao, Yangsong Zhang, Tong Xu, Kun Zhang, Zhongkai Hao, Enhong Chen - Neurocomputing 2021 被引用: 138

  21. CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

    著者: Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2024 被引用: 78

  22. Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion

    著者: Derong Xu, Tong Xu, Shiwei Wu, Jingbo Zhou, Enhong Chen - International Conference on Multimedia, ACM Multimedia 2022 被引用: 69

  23. Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process

    著者: Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang - SIGIR Conference on Research and Development in Information Retrieval 2020 被引用: 144

  24. When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

    著者: Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen - arXiv (Cornell University), CoRR 2023 被引用: 65