Pengguang Chen

844 total citations · 1 hit paper
10 papers, 496 citations indexed

About

Pengguang Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pollution. According to data from OpenAlex, Pengguang Chen has authored 10 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Pollution. Recurrent topics in Pengguang Chen's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Pengguang Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Neural Network Applications (4 papers). Pengguang Chen collaborates with scholars based in Hong Kong, United States and China. Pengguang Chen's co-authors include Jiaya Jia, Shu Liu, Hengshuang Zhao, Denvid Lau, Shu Liu, Xing Quan Wang, Cheuk Lun Chow, Ruiyu Li, Jiequan Cui and Xiaoyong Shen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Science and Matter.

In The Last Decade

Pengguang Chen

9 papers receiving 480 citations

Hit Papers

Distilling Knowledge via ... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Distilling Knowledge via Knowledge Review
    2021 285 citations Pengguang Chen, Shu Liu et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengguang Chen Hong Kong 7 250 244 33 32 30 10 496
Fayçal Hamdaoui Tunisia 8 228 0.9× 146 0.6× 57 1.7× 20 0.6× 21 0.7× 25 448
Khaled Bayoudh Tunisia 5 173 0.7× 135 0.6× 45 1.4× 21 0.7× 18 0.6× 6 408
Jiandan Zhong China 5 281 1.1× 130 0.5× 37 1.1× 17 0.5× 26 0.9× 8 440
Csaba Beleznai Austria 11 323 1.3× 83 0.3× 58 1.8× 51 1.6× 33 1.1× 34 411
Yifan Yang China 6 342 1.4× 161 0.7× 52 1.6× 21 0.7× 19 0.6× 13 441
Zhengkai Tu China 9 410 1.6× 154 0.6× 82 2.5× 21 0.7× 37 1.2× 16 555
Farzeen Munir South Korea 10 291 1.2× 83 0.3× 60 1.8× 15 0.5× 59 2.0× 29 449
Hao Fang China 10 281 1.1× 113 0.5× 47 1.4× 75 2.3× 30 1.0× 35 587
Younkwan Lee South Korea 10 282 1.1× 163 0.7× 94 2.8× 23 0.7× 10 0.3× 21 462

Countries citing papers authored by Pengguang Chen

Since Specialization
Citations

This map shows the geographic impact of Pengguang 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 Pengguang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengguang Chen more than expected).

Fields of papers citing papers by Pengguang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengguang 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 Pengguang Chen. The network helps show where Pengguang Chen may publish in the future.

Co-authorship network of co-authors of Pengguang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Pengguang Chen. A scholar is included among the top collaborators of Pengguang 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 Pengguang Chen. Pengguang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chen, Pengguang, et al.. (2025). MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10633–10645.
2.
Chen, Pengguang, et al.. (2024). MOODv2: Masked Image Modeling for Out-of-Distribution Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8994–9003. 2 indexed citations
3.
Chen, Pengguang, et al.. (2023). BAL: Balancing Diversity and Novelty for Active Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3653–3664. 5 indexed citations
4.
Wang, Xing Quan, Pengguang Chen, Cheuk Lun Chow, & Denvid Lau. (2023). Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0. Matter. 6(6). 1831–1859. 59 indexed citations
5.
Li, Jingyao, et al.. (2023). Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11578–11589. 28 indexed citations
6.
Chen, Pengguang, Shu Tian, Hongshuang Guo, et al.. (2022). An extreme environment-tolerant anti-icing coating. Chemical Engineering Science. 262. 118010–118010. 17 indexed citations
7.
Chen, Pengguang, Shu Liu, & Jiaya Jia. (2021). Jigsaw Clustering for Unsupervised Visual Representation Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11521–11530. 49 indexed citations
8.
Chen, Pengguang, Shu Liu, Hengshuang Zhao, & Jiaya Jia. (2021). Distilling Knowledge via Knowledge Review. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5006–5015. 285 indexed citations breakdown →
9.
Chen, Yixin, Pengguang Chen, Shu Liu, Liwei Wang, & Jiaya Jia. (2021). Deep Structured Instance Graph for Distilling Object Detectors. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8 indexed citations
10.
Cui, Jiequan, Pengguang Chen, Ruiyu Li, et al.. (2019). Fast and Practical Neural Architecture Search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6508–6517. 43 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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