Chen Gong

6.5k total citations · 3 hit papers
210 papers, 4.4k citations indexed

About

Chen Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Chen Gong has authored 210 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 71 papers in Artificial Intelligence and 34 papers in Biomedical Engineering. Recurrent topics in Chen Gong's work include Machine Learning and Data Classification (28 papers), Domain Adaptation and Few-Shot Learning (21 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Chen Gong is often cited by papers focused on Machine Learning and Data Classification (28 papers), Domain Adaptation and Few-Shot Learning (21 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Chen Gong collaborates with scholars based in China, Australia and Singapore. Chen Gong's co-authors include Jian Yang, Haoyong Yu, Sheng Wan, Shirui Pan, Ping Zhong, Bo Du, Lefei Zhang, Chuan Zhou, Emre Sarıyıldız and Tongliang Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chen Gong

191 papers receiving 4.3k citations

Hit Papers

align trajectories

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.

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

2019 411 citations Sheng Wan, Chen Gong et al. IEEE Transactions on Geoscience and Remote Sensing profile →
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

2021 240 citations Shirui Pan, Chen Gong et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Cross-level Feature Aggregation Network for Polyp Segmentation

2023 140 citations Tao Zhou, Yi Zhou et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen Gong China	34	1.7k	1.4k	921	773	285	210	4.4k
Yinpeng Chen United States	22	2.6k 1.5×	1.4k 1.0×	446 0.5×	252 0.3×	129 0.5×	56	4.2k
Dapeng Tao China	45	3.8k 2.2×	1.2k 0.9×	884 1.0×	820 1.1×	176 0.6×	198	5.0k
Feng Jiang China	31	1.5k 0.8×	787 0.6×	358 0.4×	877 1.1×	129 0.5×	205	3.8k
Zhiyong Wang China	31	2.6k 1.5×	813 0.6×	432 0.5×	751 1.0×	122 0.4×	232	4.3k
Xin Ning China	38	2.1k 1.2×	1.2k 0.9×	375 0.4×	270 0.3×	197 0.7×	168	4.3k
Z. Jane Wang Canada	42	2.9k 1.6×	1.2k 0.9×	1.9k 2.1×	1.3k 1.7×	251 0.9×	255	7.7k
Hongying Meng United Kingdom	31	2.4k 1.4×	1.1k 0.8×	532 0.6×	341 0.4×	112 0.4×	142	4.3k
Matteo Matteucci Italy	32	1.0k 0.6×	722 0.5×	263 0.3×	644 0.8×	317 1.1×	246	4.0k
Zicheng Liu United States	48	9.0k 5.2×	3.4k 2.4×	691 0.8×	2.1k 2.7×	712 2.5×	182	11.3k
Hong Liu China	36	4.4k 2.5×	1.6k 1.1×	502 0.5×	902 1.2×	193 0.7×	295	6.1k

Countries citing papers authored by Chen Gong

Since Specialization

Citations

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

Fields of papers citing papers by Chen Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Gong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gong, Chen, et al.. (2025). Typical metal catalysts for electro-oxidation of 5-Hydroxymethylfurfural (HMF). Inorganic Chemistry Communications. 177. 114356–114356. 2 indexed citations

Gong, Chen, et al.. (2025). On water entry/exit of free-fall lifeboats into regular waves: A computational fluid dynamics study. Ocean Engineering. 320. 120308–120308. 2 indexed citations

Liu, Zijian, et al.. (2025). From Perception to Trust: The Multidimensional Landscape of Anthropomorphism in Robotics. International Journal of Human-Computer Interaction. 42(1). 78–100. 2 indexed citations

Wang, Di, et al.. (2024). A comprehensive review of water entry/exit of lifeboats and occupant safety. Ocean Engineering. 310. 118768–118768. 5 indexed citations

Feng, Lei, et al.. (2024). Exploiting counter-examples for active learning with partial labels. Machine Learning. 113(6). 3849–3868.

Shi, Lingfei, Xianhu Wei, Kun Yang, & Chen Gong. (2024). A few-shot oil spill segmentation network guided by multi-scale feature similarity modeling. Frontiers in Marine Science. 11. 2 indexed citations

Zhang, Hengmin, Jian Yang, Jianjun Qian, et al.. (2024). Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Information Fusion. 108. 102347–102347. 13 indexed citations

Zhong, Shengwei, et al.. (2024). Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 4 indexed citations

Xu, Yongming, et al.. (2024). Domain-Collaborative Contrastive Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations

10.

Chen, Yu, et al.. (2024). Safe and Individualized Motion Planning for Upper-limb Exoskeleton Robots Using Human Demonstration and Interactive Learning. 15307–15313. 1 indexed citations

11.

Jiang, Ning, et al.. (2024). Learning Student Network Under Universal Label Noise. IEEE Transactions on Image Processing. 33. 4363–4376. 3 indexed citations

12.

Liu, Tongliang, et al.. (2024). Estimating Per-Class Statistics for Label Noise Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 305–322. 3 indexed citations

13.

Zhou, Tao, Yi Zhou, Kelei He, et al.. (2023). Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognition. 140. 109555–109555. 140 indexed citations breakdown →

14.

Gong, Chen, et al.. (2023). A Random Forest-Based Word Difficulty Prediction Model. Highlights in Science Engineering and Technology. 70. 114–122.

15.

Wan, Sheng, Yibing Zhan, Shirui Pan, et al.. (2023). Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15971–15983. 5 indexed citations

16.

Yu, Wentao, Sheng Wan, Guangyu Li, Jian Yang, & Chen Gong. (2023). Hyperspectral Image Classification With Contrastive Graph Convolutional Network. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 40 indexed citations

17.

Zhang, Hengmin, Feng Qian, Peng Shi, et al.. (2022). Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 5342–5353. 30 indexed citations

18.

Zhao, Lin, Nannan Wang, Chen Gong, Jian Yang, & Xinbo Gao. (2021). Estimating Human Pose Efficiently by Parallel Pyramid Networks. IEEE Transactions on Image Processing. 30. 6785–6800. 17 indexed citations

19.

Gong, Chen, et al.. (2019). Harnessing Side Information for Classification Under Label Noise. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3178–3192. 18 indexed citations

20.

Gong, Chen, Georgios Ν. Dimitrakopoulos, Iοannis Kakkos, et al.. (2017). Identification of gait-related brain activity using electroencephalographic signals. 548–551. 5 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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