Hong Chen

2.4k total citations
136 papers, 1.6k citations indexed

About

Hong Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Hong Chen has authored 136 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 35 papers in Computational Mechanics. Recurrent topics in Hong Chen's work include Face and Expression Recognition (32 papers), Sparse and Compressive Sensing Techniques (27 papers) and Blind Source Separation Techniques (11 papers). Hong Chen is often cited by papers focused on Face and Expression Recognition (32 papers), Sparse and Compressive Sensing Techniques (27 papers) and Blind Source Separation Techniques (11 papers). Hong Chen collaborates with scholars based in China, United States and Macao. Hong Chen's co-authors include Luoqing Li, Yulong Wang, Jong‐Gwan Yook, Eakhwan Song, Yong–June Shin, E.J. Powers, J.B. Park, Jiangtao Peng, Zhenqiu Liu and Zheng Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Hong Chen

117 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Chen China 22 574 368 272 260 137 136 1.6k
Liming Yang China 20 437 0.8× 416 1.1× 164 0.6× 188 0.7× 97 0.7× 104 1.3k
Hongmin Liu China 23 771 1.3× 269 0.7× 87 0.3× 106 0.4× 161 1.2× 161 2.0k
Jun Sun China 22 1.1k 1.8× 436 1.2× 299 1.1× 189 0.7× 68 0.5× 203 2.0k
Sijia Liu United States 23 262 0.5× 756 2.1× 480 1.8× 169 0.7× 134 1.0× 171 1.9k
Qiang Chen China 25 1.4k 2.4× 381 1.0× 169 0.6× 76 0.3× 119 0.9× 104 2.4k
U.B. Desai India 23 508 0.9× 253 0.7× 572 2.1× 137 0.5× 193 1.4× 221 2.1k
A. Enis Çetin Türkiye 28 1.3k 2.2× 327 0.9× 219 0.8× 300 1.2× 100 0.7× 162 2.4k

Countries citing papers authored by Hong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Chen. A scholar is included among the top collaborators of Hong 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 Hong Chen. Hong 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.
Wang, Yulong, et al.. (2025). Tensor Nuclear Norm-Based Multi-Channel Atomic Representation for Robust Face Recognition. IEEE Transactions on Image Processing. 34. 1311–1325. 1 indexed citations
2.
Chen, Hong, Xuelin Zhang, Tieliang Gong, Bin Gu, & Feng Zheng. (2024). Error Density-dependent Empirical Risk Minimization. Expert Systems with Applications. 254. 124332–124332.
3.
Chen, Hong, Jianwei Wang, & David Morgan. (2024). Geographic distribution and accessibility of urogynecology subspecialists across the united states. American Journal of Obstetrics and Gynecology. 230(4). S1152–S1153.
4.
Yuan, Peipei, et al.. (2024). Generalized Sparse Additive Model with Unknown Link Function. 923–928.
5.
Wang, Libin, Yulong Wang, Hao Deng, & Hong Chen. (2023). Attention reweighted sparse subspace clustering. Pattern Recognition. 139. 109438–109438. 18 indexed citations
6.
Wang, Zhendong, Jianmin Bao, Wengang Zhou, et al.. (2023). DIRE for Diffusion-Generated Image Detection. 22388–22398. 70 indexed citations
7.
Chen, Hong, et al.. (2023). Robust partially linear models for automatic structure discovery. Expert Systems with Applications. 217. 119528–119528. 1 indexed citations
8.
Han, Rui, Tao Zhou, Hong Chen, et al.. (2023). The CropGPT project: Call for a global, coordinated effort in precision design breeding driven by AI using biological big data. Molecular Plant. 17(2). 215–218. 17 indexed citations
9.
Chen, Hong, et al.. (2022). Flexible infrared images destriping algorithm with L1-based sparse regularization for wide-field astronomical images. Infrared Physics & Technology. 125. 104297–104297. 7 indexed citations
10.
Gong, Tieliang, et al.. (2022). Markov Subsampling Based on Huber Criterion. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2250–2262. 2 indexed citations
11.
Deng, Hao, et al.. (2022). RU-net: A Residual U-net for Automatic Interplanetary Coronal Mass Ejection Detection. The Astrophysical Journal Supplement Series. 259(1). 8–8. 7 indexed citations
12.
Zhao, Li, Hongwei Zhang, Xi Wang, et al.. (2022). DeepBSA: A deep-learning algorithm improves bulked segregant analysis for dissecting complex traits. Molecular Plant. 15(9). 1418–1427. 29 indexed citations
13.
Xu, Rangwei, et al.. (2021). Prediction of Newhall navel orange internal quality based on digital microscopy. International journal of agricultural and biological engineering. 14(6). 222–227. 1 indexed citations
14.
Chen, Hong, et al.. (2020). Debiased magnitude-preserving ranking: Learning rate and bias characterization. Journal of Mathematical Analysis and Applications. 486(2). 123881–123881. 1 indexed citations
15.
Chen, Hong, Xiaoqian Wang, Cheng Deng, & Heng Huang. (2017). Group Sparse Additive Machine. Neural Information Processing Systems. 30. 198–208. 18 indexed citations
16.
Chen, Hong, Haifeng Xia, Heng Huang, & Weidong Cai. (2016). Error analysis of generalized nyström kernel regression. Neural Information Processing Systems. 29. 2541–2549. 4 indexed citations
17.
Chen, Hong, et al.. (2013). Generalization performance of bipartite ranking algorithms with convex losses. Journal of Mathematical Analysis and Applications. 404(2). 528–536. 5 indexed citations
18.
Chen, Hong. (2012). Study on crucian and cyprinoid species identification method based on machine vision. Guangdong nongye kexue. 1 indexed citations
19.
Chen, Hong. (2008). The Characteristic and Improved Arithmetic in the Multi-Line Detection Based on Hough Transformation. Huazhong Nongye Daxue xuebao. 1 indexed citations
20.
Chen, Hong, et al.. (2007). Identification method for moldy peanut kernels based on neural network and image processing. Nongye gongcheng xuebao. 2007(4). 11 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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