Chang Chen

1.5k total citations
53 papers, 774 citations indexed

About

Chang Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chang Chen has authored 53 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Chang Chen's work include Advanced Image Processing Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Vision and Imaging (5 papers). Chang Chen is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Vision and Imaging (5 papers). Chang Chen collaborates with scholars based in China, United States and Sweden. Chang Chen's co-authors include Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu, Zhan Shi, Xinmei Tian, Feng Wu, Zhen Cheng, Yueyi Zhang and Xiaoyan Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biochemistry and Journal of Materials Chemistry A.

In The Last Decade

Chang Chen

43 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Chen China 13 434 318 84 82 49 53 774
Wenxian Zheng China 6 413 1.0× 234 0.7× 110 1.3× 89 1.1× 88 1.8× 11 735
Hiêp Luong Belgium 17 514 1.2× 252 0.8× 77 0.9× 67 0.8× 83 1.7× 98 841
Zia-ur Rahman United States 19 672 1.5× 244 0.8× 67 0.8× 121 1.5× 76 1.6× 69 963
A. S. Krylov Russia 13 476 1.1× 168 0.5× 63 0.8× 38 0.5× 38 0.8× 135 672
Nikolay Petkov Bulgaria 9 496 1.1× 174 0.5× 43 0.5× 126 1.5× 76 1.6× 55 895
Zhenhong Jia China 18 549 1.3× 576 1.8× 170 2.0× 67 0.8× 22 0.4× 128 1.0k
Haishu Tan China 16 492 1.1× 496 1.6× 169 2.0× 55 0.7× 87 1.8× 76 955
Miguel Ángel García Spain 11 373 0.9× 427 1.3× 105 1.3× 26 0.3× 26 0.5× 26 770
Yuanhao Gong China 15 478 1.1× 219 0.7× 50 0.6× 107 1.3× 23 0.5× 66 830
Caroline Fossati France 13 325 0.7× 257 0.8× 59 0.7× 76 0.9× 33 0.7× 43 713

Countries citing papers authored by Chang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Chen. A scholar is included among the top collaborators of Chang 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 Chang Chen. Chang 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.
Huang, Yuchen, et al.. (2025). Metric Learning With LMNN-KSVM for Radar Target Detection. IEEE Transactions on Aerospace and Electronic Systems. 61(6). 15870–15885.
2.
Huang, Yu-Hsiang, Chang Chen, Jessie Shiue, et al.. (2025). Bias-free solar to ammonia photoelectrochemical conversion using a perovskite-silicon tandem absorber and 1T-MoS2 integration. Journal of Materials Chemistry A. 13(17). 12104–12112. 3 indexed citations
3.
Chen, Xiaohong, Mingqi Zheng, Bing Liu, et al.. (2025). Large multimodal model for zero-shot scene classification of high spatial resolution remote sensing images. Remote Sensing Letters. 16(4). 449–459.
4.
Liu, Lijun, et al.. (2024). Research on day-ahead and intraday scheduling strategy of distribution network based on dynamic partitioning. International Journal of Electrical Power & Energy Systems. 160. 110078–110078. 4 indexed citations
5.
Zhang, Wengang, et al.. (2024). BSDSNet: Dual-Stream Feature Extraction Network Based on Segment Anything Model for Synthetic Aperture Radar Land Cover Classification. Remote Sensing. 16(7). 1150–1150. 6 indexed citations
7.
Chen, Chang, Min Li, & Chao Yang. (2023). bbTopk: Bandwidth-Aware Sparse Allreduce with Blocked Sparsification for Efficient Distributed Training. 1–11. 3 indexed citations
8.
Chen, Chien-Chang, et al.. (2023). Video based basketball shooting prediction and pose suggestion system. Multimedia Tools and Applications. 82(18). 27551–27570. 6 indexed citations
9.
Liu, Jiaqi, et al.. (2022). Marine Extended Target Tracking for Scanning Radar Data Using Correlation Filter and Bayes Filter Jointly. Remote Sensing. 14(23). 5937–5937. 7 indexed citations
10.
Chen, Chang, Xinyu Luo, Jiaming Zhang, et al.. (2021). Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). 9 indexed citations
11.
Chen, Jingying, et al.. (2020). An intelligent multimodal framework for identifying children with autism spectrum disorder. International Journal of Applied Mathematics and Computer Science. 30(3). 10 indexed citations
12.
Chen, Chang, et al.. (2019). An Unsupervised Approach of Truth Discovery From Multi-Sourced Text Data. IEEE Access. 7. 143479–143489.
13.
Liu, Yi, et al.. (2019). From Whole to Part: Reference-Based Representation for Clustering Categorical Data. IEEE Transactions on Neural Networks and Learning Systems. 31(3). 927–937. 12 indexed citations
14.
Chen, Chang, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, & Feng Wu. (2019). Real-World Image Denoising with Deep Boosting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(12). 3071–3087. 73 indexed citations
15.
Chen, Chang, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, & Feng Wu. (2019). Camera Lens Super-Resolution. 1652–1660. 106 indexed citations
16.
Chen, Chang, et al.. (2019). Distorted object recognition and identification based on Krawtchouk moments. JW4A.130–JW4A.130. 1 indexed citations
17.
Lv, Xiaojun, Chaohong Guan, Zexun Han, & Chang Chen. (2019). Interfacial wetting mechanisms of Al liquid on cathode carbon blocks of aluminum reduction cell for developing wettable cathode materials. Journal of Molecular Liquids. 298. 112017–112017. 14 indexed citations
18.
Chen, Chang, Xinmei Tian, Feng Wu, & Zhiwei Xiong. (2017). UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution. 1069–1076. 9 indexed citations
19.
Howard, Frank B., Chang Chen, Philip D. Ross, & H. Todd Miles. (1991). Hairpin formation in the self-complementary dodecamer d-GGTACGCGTACC and derivatives containing GA and IA mispairs. Biochemistry. 30(3). 779–782. 19 indexed citations
20.
Allen, Julie M., Chang Chen, Patricia A. Estep, et al.. (1991). Physics detector simulation facility system software description. 1 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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