Enhong Chen

Active 2001–2026

1,013
Papers
33,004
Citations
87
h-index
513
i10-index

Citations

Citations per year for Enhong Chen1967: 1 citations1969: 1 citations1971: 1 citations1977: 1 citations1982: 1 citations1999: 1 citations2003: 8 citations2004: 6 citations2005: 11 citations2006: 8 citations2007: 12 citations2008: 24 citations2009: 43 citations2010: 76 citations2011: 104 citations2012: 168 citations2013: 227 citations2014: 327 citations2015: 456 citations2016: 655 citations2017: 907 citations2018: 1,229 citations2019: 1,642 citations2020: 1,862 citations2021: 2,156 citations2022: 2,133 citations2023: 2,436 citations2024: 3,185 citations2025: 4,261 citations2026: 1,514 citations2027: 2 citations1968: no citations, so this year is not shown1970: no citations, so this year is not shown1972–1976: no citations, so these years are not shown1978–1981: no citations, so these years are not shown1983–1998: no citations, so these years are not shown2000–2002: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 8,963 citing papers, 41.3% of this breakdownUnited States: 3,262 citing papers, 15.1% of this breakdownAustralia: 811 citing papers, 3.7% of this breakdownHong Kong: 779 citing papers, 3.6% of this breakdownUnited Kingdom: 762 citing papers, 3.5% of this breakdownIndia: 616 citing papers, 2.8% of this breakdownSingapore: 495 citing papers, 2.3% of this breakdownCanada: 470 citing papers, 2.2% of this breakdownJapan: 460 citing papers, 2.1% of this breakdownSouth Korea: 409 citing papers, 1.9% of this breakdownGermany: 389 citing papers, 1.8% of this breakdownItaly: 323 citing papers, 1.5% of this breakdown
0%41.3%Other 18.2%

Fields

  • Computer Science75%
  • Engineering4.6%
  • Social Sciences4.4%
  • Physics and Astronomy3.6%
  • Medicine2.6%
  • Decision Sciences1.8%
  • Other8%

Topics

  • 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%
  • Other75.6%

Coauthors

All papers

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

    Authors: , , , , , , , , , , , , , , , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 645

  2. A Survey on Multimodal Large Language Models

    Authors: , , , , , , - National Science Review 2024 cited by 614

  3. Understanding the planning of LLM agents: A survey

    Authors: , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 367

  4. A Survey on Large Language Models for Recommendation

    Authors: , , , , , , , , , , , - World Wide Web, World Wide Web (WWW) 2024 cited by 328

  5. Woodpecker: Hallucination Correction for Multimodal Large Language Models

    Authors: , , , , , , , , , - Science China Information Sciences, Sci. China Inf. Sci. 2024 cited by 192

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

    Authors: , , , , , , , , , , , , - World Wide Web, World Wide Web (WWW) 2024 cited by 285

  7. ToolACE: Winning the Points of LLM Function Calling

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - ICLR 2025 cited by 198

  8. Single Image Dehazing Using Saturation Line Prior

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2023 cited by 178

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

    Authors: , , , , , , , , , - Frontiers of Computer Science, Frontiers Comput. Sci. 2024 cited by 218

  10. Learning Process-consistent Knowledge Tracing

    Authors: , , , , , , , - SIGKDD Conference on Knowledge Discovery & Data Mining 2021 cited by 153

  11. NeuralCD: A General Framework for Cognitive Diagnosis

    Authors: , , , , , , - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2022 cited by 136

  12. Geography-Aware Sequential Location Recommendation

    Authors: , , , , - SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 cited by 244

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

    Authors: , , , , - Lecture notes in computer science, WAIM 2014 cited by 650

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

    Authors: , , , , , , , - Web Conference 2023, WWW 2023 cited by 86

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

    Authors: , , , , , - SIGIR Conference on Research and Development in Information Retrieval 2022 cited by 112

  16. Learning Deep Representations for Graph Clustering

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2014 cited by 677

  17. Exercise-Enhanced Sequential Modeling for Student Performance Prediction

    Authors: , , , , , , , , - AAAI Conference on Artificial Intelligence 2018 cited by 256

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

    Authors: , , , , , , , - IEEE International Conference on Data Mining (ICDM) 2020 cited by 119

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

    Authors: , , , , , - SIGKDD international conference on Knowledge discovery and data mining 2014 cited by 608

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

    Authors: , , , , , , - Neurocomputing 2021 cited by 138

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

    Authors: , , , , , , , , , - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2024 cited by 78

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

    Authors: , , , , - International Conference on Multimedia, ACM Multimedia 2022 cited by 69

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

    Authors: , , , , , , , , - SIGIR Conference on Research and Development in Information Retrieval 2020 cited by 144

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

    Authors: , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 65