Guangyao Chen

950 total citations · 2 hit papers
11 papers, 391 citations indexed

About

Guangyao Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Guangyao Chen has authored 11 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Media Technology. Recurrent topics in Guangyao Chen's work include Anomaly Detection Techniques and Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning in Materials Science (2 papers). Guangyao Chen is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning in Materials Science (2 papers). Guangyao Chen collaborates with scholars based in China, United States and United Kingdom. Guangyao Chen's co-authors include Yonghong Tian, Peixi Peng, Xiangqian Wang, Yaowei Wang, Pengcheng Gao, Wen Gao, Xiao Wang, Xiao-Yong Wei, Li Ma and Li Jia and has published in prestigious journals such as Advanced Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Guangyao Chen

9 papers receiving 382 citations

Hit Papers

Adversarial Reciprocal Points Learning for Open Set Recog... 2021 2026 2022 2024 2021 2023 50 100 150 200
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. Adversarial Reciprocal Points Learning for Open Set Recognition
    2021 203 citations Guangyao Chen, Peixi Peng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
    2023 111 citations Xiao Wang, Guangyao Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangyao Chen China 5 238 138 32 26 26 11 391
Jyoti Prakash Sahoo India 6 171 0.7× 86 0.6× 22 0.7× 16 0.6× 22 0.8× 14 361
Xindi Wu United States 4 186 0.8× 222 1.6× 52 1.6× 19 0.7× 12 0.5× 5 381
Zhiqiang He China 8 168 0.7× 160 1.2× 47 1.5× 28 1.1× 22 0.8× 25 425
Yongsheng Sang China 11 126 0.5× 160 1.2× 40 1.3× 16 0.6× 28 1.1× 27 352
Jin Yuan China 7 117 0.5× 157 1.1× 50 1.6× 32 1.2× 22 0.8× 10 374
Debasmit Das United Kingdom 7 170 0.7× 135 1.0× 14 0.4× 10 0.4× 25 1.0× 19 303
Gh. S. El-Tawel Egypt 7 196 0.8× 94 0.7× 61 1.9× 13 0.5× 32 1.2× 9 359
Sara Sabour United States 5 220 0.9× 269 1.9× 27 0.8× 18 0.7× 10 0.4× 5 462

Countries citing papers authored by Guangyao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangyao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyao Chen

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

All Works

11 of 11 papers shown
1.
Chen, Guangyao & Fengqi You. (2025). Future Manufacturing with AI-Driven Particle Vision Analysis in the Microscopic World. Engineering. 52. 68–84.
2.
Chen, Guangyao, Zhilong Wang, & Fengqi You. (2025). PSCG-Net: A Multiscale Crystal Graph Neural Network for Accelerated Materials Discovery. Journal of Chemical Information and Modeling. 65(20). 10871–10884.
3.
Chen, Guangyao, et al.. (2025). Empowering Generalist Material Intelligence with Large Language Models. Advanced Materials. 37(32). e2502771–e2502771. 6 indexed citations
4.
Chen, Guangyao, et al.. (2024). Adaptive Discovering and Merging for Incremental Novel Class Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11276–11284. 5 indexed citations
5.
6.
Zhang, Zhenyu, et al.. (2024). MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning. 7686–7695. 1 indexed citations
7.
Wang, Xiao, Guangyao Chen, Pengcheng Gao, et al.. (2023). Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey. 20(4). 447–482. 111 indexed citations breakdown →
8.
Ma, Li, Peixi Peng, Guangyao Chen, et al.. (2022). Picking Up Quantization Steps for Compressed Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1884–1898. 1 indexed citations
9.
Chen, Guangyao, et al.. (2021). Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 448–457. 60 indexed citations
10.
Zhang, Shanghang, et al.. (2021). Annotation-Efficient Untrimmed Video Action Recognition. 487–495. 3 indexed citations
11.
Chen, Guangyao, Peixi Peng, Xiangqian Wang, & Yonghong Tian. (2021). Adversarial Reciprocal Points Learning for Open Set Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 1–1. 203 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jyoti Prakash Sahoo Breakdown of academic impact, for papers by Xindi Wu Breakdown of academic impact, for papers by Zhiqiang He Breakdown of academic impact, for papers by Yongsheng Sang Breakdown of academic impact, for papers by Jin Yuan Breakdown of academic impact, for papers by Debasmit Das Breakdown of academic impact, for papers by Gh. S. El-Tawel Breakdown of academic impact, for papers by Sara Sabour
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2026