Haifeng Chen

2.1k total citations
47 papers, 674 citations indexed

About

Haifeng Chen is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haifeng Chen has authored 47 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 14 papers in Signal Processing and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haifeng Chen's work include Topic Modeling (13 papers), Advanced Graph Neural Networks (11 papers) and Time Series Analysis and Forecasting (10 papers). Haifeng Chen is often cited by papers focused on Topic Modeling (13 papers), Advanced Graph Neural Networks (11 papers) and Time Series Analysis and Forecasting (10 papers). Haifeng Chen collaborates with scholars based in United States, China and Japan. Haifeng Chen's co-authors include Wei Wang, Dongjin Song, Zhengzhang Chen, Jingchao Ni, Wenchao Yu, Wei Cheng, Bo Zong, Yanchi Liu, Wei Cheng and Yang Chen and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, ACM Transactions on Knowledge Discovery from Data and arXiv (Cornell University).

In The Last Decade

Haifeng Chen

46 papers receiving 652 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haifeng Chen United States 13 383 190 164 148 126 47 674
Udayan Khurana United States 11 319 0.8× 104 0.5× 107 0.7× 147 1.0× 174 1.4× 27 603
Manohar Kaul India 10 423 1.1× 211 1.1× 127 0.8× 69 0.5× 109 0.9× 20 751
Feng Pan China 15 482 1.3× 113 0.6× 152 0.9× 203 1.4× 121 1.0× 62 765
Trung Le Australia 16 431 1.1× 172 0.9× 253 1.5× 134 0.9× 238 1.9× 74 820
Tingjian Ge United States 14 370 1.0× 199 1.0× 273 1.7× 301 2.0× 118 0.9× 62 813
Atsuhiro Takasu Japan 14 371 1.0× 120 0.6× 294 1.8× 80 0.5× 209 1.7× 163 740
Doo-Soon Park South Korea 15 186 0.5× 67 0.4× 195 1.2× 238 1.6× 98 0.8× 70 656
Kanishka Bhaduri United States 15 364 1.0× 120 0.6× 129 0.8× 220 1.5× 48 0.4× 29 594

Countries citing papers authored by Haifeng Chen

Since Specialization
Citations

This map shows the geographic impact of Haifeng Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haifeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Chen more than expected).

Fields of papers citing papers by Haifeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haifeng Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haifeng Chen. The network helps show where Haifeng Chen may publish in the future.

Co-authorship network of co-authors of Haifeng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Haifeng Chen. A scholar is included among the top collaborators of Haifeng Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haifeng Chen. Haifeng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Luo, Dongsheng, et al.. (2025). DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions. ACM Transactions on Knowledge Discovery from Data. 19(4). 1–21. 4 indexed citations
2.
Jiang, Yushan, Jingchao Ni, Wenchao Yu, et al.. (2025). Multi-modal Time Series Analysis: A Tutorial and Survey. 6043–6053. 4 indexed citations
3.
Xiao, Yijia, Yushi Bai, Xianjun Yang, et al.. (2024). Large Language Models Can Be Contextual Privacy Protection Learners. 14179–14201. 8 indexed citations
4.
Chen, Ling, Xujiang Zhao, Xuchao Zhang, et al.. (2024). Uncertainty Quantification for In-Context Learning of Large Language Models. 3357–3370. 5 indexed citations
5.
6.
Wang, Dongjie, et al.. (2024). Feature Selection as Deep Sequential Generative Learning. ACM Transactions on Knowledge Discovery from Data. 18(9). 1–21. 7 indexed citations
7.
Zhao, Tianxiang, Wenchao Yu, Suhang Wang, et al.. (2024). Interpretable Imitation Learning with Dynamic Causal Relations. 967–975.
8.
Wang, Junxiang, et al.. (2024). POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. 3140–3151. 2 indexed citations
9.
Chen, Zhengzhang, et al.. (2024). MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. 4107–4116. 8 indexed citations
10.
Wang, Dongjie, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, & Haifeng Chen. (2023). Incremental Causal Graph Learning for Online Root Cause Analysis. 2269–2278. 11 indexed citations
11.
Wang, Dongjie, et al.. (2023). Interdependent Causal Networks for Root Cause Localization. 5051–5060. 12 indexed citations
12.
Zhao, Tianxiang, Wenchao Yu, Suhang Wang, et al.. (2023). Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. arXiv (Cornell University). 3513–3524. 1 indexed citations
13.
Jiang, Yushan, Wenchao Yu, Dongjin Song, et al.. (2023). FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. 1010–1019. 3 indexed citations
14.
Luo, Dongsheng, Wei Cheng, Yingheng Wang, et al.. (2023). Time Series Contrastive Learning with Information-Aware Augmentations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4534–4542. 47 indexed citations
15.
Chen, Ling, Xuchao Zhang, Xujiang Zhao, et al.. (2023). Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. 8035–8047. 1 indexed citations
16.
Jiang, Yushan, Wenchao Yu, Dongjin Song, Wei Cheng, & Haifeng Chen. (2023). Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. 1–6. 1 indexed citations
17.
Wang, Li, Xinyu Zhang, Jun Li, et al.. (2022). Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving. IEEE Transactions on Vehicular Technology. 72(5). 5628–5641. 35 indexed citations
18.
Xu, Li‐Yan, et al.. (2021). Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6716–6723. 10 indexed citations
19.
Zhang, Xuchao, Bo Zong, Wei Cheng, et al.. (2021). Unsupervised Concept Representation Learning for Length-Varying Text Similarity. 5611–5620. 1 indexed citations
20.
Wang, Lichen, Bo Zong, Wei Cheng, et al.. (2020). Inductive and Unsupervised Representation Learning on Graph Structured Objects. International Conference on Learning Representations. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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