He Chen

2.7k total citations
211 papers, 2.0k citations indexed

About

He Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, He Chen has authored 211 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 67 papers in Media Technology and 44 papers in Atmospheric Science. Recurrent topics in He Chen's work include Remote-Sensing Image Classification (61 papers), Advanced Image and Video Retrieval Techniques (45 papers) and Remote Sensing and Land Use (28 papers). He Chen is often cited by papers focused on Remote-Sensing Image Classification (61 papers), Advanced Image and Video Retrieval Techniques (45 papers) and Remote Sensing and Land Use (28 papers). He Chen collaborates with scholars based in China, United States and Pakistan. He Chen's co-authors include Wenchao Liu, Yin Zhuang, Long Ma, Siying Chen, Yinchao Zhang, Pan Guo, Guanqun Wang, Yizhuang Xie, Tong Zhang and Lianlin Li and has published in prestigious journals such as PLoS ONE, Food Chemistry and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

He Chen

194 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Chen China 23 716 655 402 282 272 211 2.0k
Yang-Lang Chang Taiwan 21 429 0.6× 430 0.7× 289 0.7× 169 0.6× 280 1.0× 96 1.5k
Chunhui Zhao China 24 366 0.5× 547 0.8× 234 0.6× 91 0.3× 263 1.0× 136 1.8k
Hongying Liu China 24 628 0.9× 773 1.2× 432 1.1× 131 0.5× 315 1.2× 157 1.9k
Bin Pan China 24 665 0.9× 1.2k 1.9× 161 0.4× 108 0.4× 669 2.5× 83 2.0k
Xinyu Wang China 24 605 0.8× 1.6k 2.4× 264 0.7× 139 0.5× 774 2.8× 96 2.5k
Stefania Matteoli Italy 20 246 0.3× 1.1k 1.7× 340 0.8× 187 0.7× 515 1.9× 73 1.6k
Bin Luo China 22 580 0.8× 304 0.5× 260 0.6× 96 0.3× 99 0.4× 110 1.3k
Mingwei Wang China 23 325 0.5× 308 0.5× 106 0.3× 245 0.9× 138 0.5× 154 2.0k

Countries citing papers authored by He Chen

Since Specialization
Citations

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

Fields of papers citing papers by He Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Chen

This figure shows the co-authorship network connecting the top 25 collaborators of He Chen. A scholar is included among the top collaborators of He 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 He Chen. He 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, Guoqing, et al.. (2025). Bi-Temporal Feature Relational Distillation for On-Board Lightweight Change Detection in Remote Sensing Imagery. IEEE Transactions on Aerospace and Electronic Systems. 61(4). 9900–9920. 1 indexed citations
2.
Chen, He, et al.. (2025). Retain and Enhance Modality-Specific Information for Multimodal Remote Sensing Image Land Use/Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 1 indexed citations
4.
Wang, Guanqun, Tong Zhang, Yin Zhuang, et al.. (2024). Adaptive Dynamic Label Assignment for Tiny Object Detection in Aerial Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 6201–6214. 11 indexed citations
5.
Wang, Guanqun, Tong Zhang, Yin Zhuang, et al.. (2024). Regression-Guided Refocusing Learning With Feature Alignment for Remote Sensing Tiny Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 4 indexed citations
6.
Chen, Biao, Yangjié Liu, Daping He, et al.. (2023). Three-dimensional angular deviation and diffraction efficiency of a grating in Littrow-configuration ECDL. Optics & Laser Technology. 170. 110293–110293.
7.
Wang, Guoqing, et al.. (2023). All Adder Neural Networks for On-Board Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 14 indexed citations
8.
Zhang, Tong, Yin Zhuang, He Chen, et al.. (2023). Posterior Instance Injection Detector for Arbitrary-Oriented Object Detection From Optical Remote-Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 27 indexed citations
9.
Wang, Guoqing, et al.. (2022). MFST: A Multi-Level Fusion Network for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 36 indexed citations
10.
Li, Jianhao, Yin Zhuang, Peng Gao, et al.. (2022). Hierarchical Disentangling Network for Building Extraction from Very High Resolution Optical Remote Sensing Imagery. Remote Sensing. 14(7). 1767–1767. 9 indexed citations
11.
Zhuang, Yin, et al.. (2021). Effective Multiscale Residual Network With High-Order Feature Representation for Optical Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 11 indexed citations
12.
Chen, He, Siying Chen, Yinchao Zhang, et al.. (2021). Improved KS-GMM algorithm applied in classification and recognition of honey based on laser-induced fluorescence spectra. Applied Optics. 60(21). 6140–6140.
13.
Chen, He, et al.. (2021). Sphere Loss: Learning Discriminative Features for Scene Classification in a Hyperspherical Feature Space. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 9 indexed citations
14.
Zhuang, Yin, et al.. (2021). Bilateral Semantic Fusion Siamese Network for Change Detection From Multitemporal Optical Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 20 indexed citations
15.
Wei, Xin, He Chen, Wenchao Liu, & Yizhuang Xie. (2020). Mixed-Precision Quantization for CNN-Based Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters. 18(10). 1721–1725. 8 indexed citations
16.
Wei, Xin, Wenchao Liu, Lei Chen, et al.. (2019). FPGA-Based Hybrid-Type Implementation of Quantized Neural Networks for Remote Sensing Applications. Sensors. 19(4). 924–924. 28 indexed citations
17.
Liu, Wenchao, et al.. (2019). Marginal Center Loss for Deep Remote Sensing Image Scene Classification. IEEE Geoscience and Remote Sensing Letters. 17(6). 968–972. 24 indexed citations
18.
Liu, Wenchao, et al.. (2018). IORN: An Effective Remote Sensing Image Scene Classification Framework. IEEE Geoscience and Remote Sensing Letters. 15(11). 1695–1699. 44 indexed citations
19.
Liu, Wenchao, et al.. (2018). Detection of Multiclass Objects in Optical Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 16(5). 791–795. 52 indexed citations
20.
Liu, Wenchao, Long Ma, & He Chen. (2018). Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images. IEEE Geoscience and Remote Sensing Letters. 15(6). 937–941. 128 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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