Haifeng Chen

Active 1995–2026

Also published as
Haifeng, Chen
526
Papers
26,493
Citations
78
h-index
317
i10-index

Citations

Citations per year for Haifeng Chen1963: 1 citations1965: 1 citations1975: 1 citations1997: 1 citations2000: 1 citations2001: 2 citations2002: 5 citations2003: 14 citations2004: 22 citations2005: 42 citations2006: 73 citations2007: 89 citations2008: 99 citations2009: 126 citations2010: 112 citations2011: 84 citations2012: 92 citations2013: 155 citations2014: 120 citations2015: 185 citations2016: 151 citations2017: 194 citations2018: 288 citations2019: 705 citations2020: 1,071 citations2021: 1,487 citations2022: 1,374 citations2023: 1,410 citations2024: 1,857 citations2025: 1,575 citations2026: 465 citations1964: no citations, so this year is not shown1966–1974: no citations, so these years are not shown1976–1996: no citations, so these years are not shown1998–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,526 citing papers, 33.1% of this breakdownUnited States: 2,599 citing papers, 19% of this breakdownUnited Kingdom: 514 citing papers, 3.7% of this breakdownGermany: 479 citing papers, 3.5% of this breakdownAustralia: 463 citing papers, 3.4% of this breakdownCanada: 382 citing papers, 2.8% of this breakdownIndia: 350 citing papers, 2.6% of this breakdownSouth Korea: 314 citing papers, 2.3% of this breakdownFrance: 305 citing papers, 2.2% of this breakdownJapan: 298 citing papers, 2.2% of this breakdownHong Kong: 253 citing papers, 1.8% of this breakdownItaly: 234 citing papers, 1.7% of this breakdown
0%33.1%Other 21.7%

Fields

  • Computer Science44.4%
  • Biochemistry, Genetics and Molecular Biology14.2%
  • Medicine13.3%
  • Engineering10.5%
  • Decision Sciences3.4%
  • Materials Science1.8%
  • Other12.4%

Topics

  • Anomaly Detection Techniques and Applications4.8%
  • Network Security and Intrusion Detection3.4%
  • Time Series Analysis and Forecasting2.9%
  • Advanced Graph Neural Networks2.8%
  • Topic Modeling2.3%
  • Stock Market Forecasting Methods1.6%
  • Other82.2%

Coauthors

All papers

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  1. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

    Authors: , , , , , - Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017 cited by 1,395

  2. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

    Authors: , , , , , , - 2018 cited by 1,091

  3. Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - ACM Computing Surveys, ACM Comput. Surv. 2025 cited by 157

  4. Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

    Authors: , , , , , , , , , , , , , , , - ACM Computing Surveys 2026 cited by 121

  5. You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis

    Authors: , , , , , , , , , , - Proceedings 2020 Network and Distributed System Security Symposium, NDSS 2020 cited by 213

  6. SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

    Authors: , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2026 cited by 98

  7. NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

    Authors: , , , , , - SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 cited by 345

  8. Parameterized Explainer for Graph Neural Network

    Authors: , , , , , , - NeurIPS 2020 cited by 830

  9. The histone mark H3K36me2 recruits DNMT3A and shapes the intergenic DNA methylation landscape

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Nature 2019 cited by 563

  10. Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 123

  11. DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

    Authors: , , , , , - ICLR 2024 cited by 196

  12. Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection

    Authors: , , , , , - International Conference on Multimedia, ACM Multimedia 2021 cited by 93

  13. Mesenchymal stromal exosome–functionalized scaffolds induce innate and adaptive immunomodulatory responses toward tissue repair

    Authors: , , , , , - Science Advances 2021 cited by 154

  14. Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition

    Authors: , , - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2020 cited by 132

  15. A Survey on Detection of LLMs-Generated Content

    Authors: , , , , , , - Findings of the Association for Computational Linguistics: EMNLP 2024, EMNLP (Findings) 2024 cited by 45

  16. H3K27M induces defective chromatin spread of PRC2-mediated repressive H3K27me2/me3 and is essential for glioma tumorigenesis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Claudia L. Kleinman, Nada Jabado, Jacek Majewski - Nature Communications 2019 cited by 392

  17. MixLLM: Dynamic Routing in Mixed Large Language Models

    Authors: , , , , , , , - Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL (Long Papers) 2025 cited by 38

  18. Structurally and Functionally Optimized Silk‐Fibroin–Gelatin Scaffold Using 3D Printing to Repair Cartilage Injury In Vitro and In Vivo

    Authors: , , , , , , , , , , - Advanced Materials 2017 cited by 482

  19. Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving

    Authors: , , , , , , , , - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2022 cited by 71

  20. Interpretable Click-Through Rate Prediction through Hierarchical Attention

    Authors: , , , , - Conference on Web Search and Data Mining, WSDM 2020 cited by 121

  21. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

    Authors: , , , , , , , , , - AAAI Conference on Artificial Intelligence 2019 cited by 805

  22. TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

    Authors: , , , , , , , - NeurIPS 2025 cited by 31

  23. Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models

    Authors: , , , , , , , , , , , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) 2024 cited by 26

  24. Advances in Porous Scaffold Design for Bone and Cartilage Tissue Engineering and Regeneration

    Authors: , , , , , , , , - Tissue Engineering Part B Reviews 2018 cited by 265