Kan Chang

748 total citations
51 papers, 419 citations indexed

About

Kan Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Kan Chang has authored 51 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 11 papers in Media Technology. Recurrent topics in Kan Chang's work include Advanced Image Processing Techniques (19 papers), Advanced Vision and Imaging (14 papers) and Video Coding and Compression Technologies (11 papers). Kan Chang is often cited by papers focused on Advanced Image Processing Techniques (19 papers), Advanced Vision and Imaging (14 papers) and Video Coding and Compression Technologies (11 papers). Kan Chang collaborates with scholars based in China, United States and Australia. Kan Chang's co-authors include Baoxin Li, Wei Li, Yue Yang, Tuanfa Qin, Baoxin Li, Chunhua Yang, Minghong Li, Weihua Gui, Yuqian Zhao and Biao Luo and has published in prestigious journals such as Optics Express, Expert Systems with Applications and Frontiers in Plant Science.

In The Last Decade

Kan Chang

43 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kan Chang China 12 256 147 61 52 48 51 419
Shuxun Wang China 10 123 0.5× 27 0.2× 35 0.6× 29 0.6× 3 0.1× 88 340
Zhiqiang Zhou China 8 110 0.4× 61 0.4× 70 1.1× 36 0.7× 37 284
Tao Hu China 8 272 1.1× 76 0.5× 34 0.6× 49 0.9× 35 407
Yi Tang China 13 431 1.7× 192 1.3× 18 0.3× 29 0.6× 58 569
Minwoo Park United States 9 317 1.2× 62 0.4× 69 1.1× 25 0.5× 34 396
Lijun Zhao China 12 342 1.3× 141 1.0× 19 0.3× 24 0.5× 41 491
Dawa Chyophel Lepcha India 11 221 0.9× 145 1.0× 23 0.4× 13 0.3× 25 340
M.-P. Dubuisson-Jolly United States 7 385 1.5× 48 0.3× 47 0.8× 33 0.6× 10 462
Chia-Hsien Wen Taiwan 11 150 0.6× 148 1.0× 32 0.5× 21 0.4× 33 348
Renting Liu China 7 252 1.0× 150 1.0× 19 0.3× 14 0.3× 12 369

Countries citing papers authored by Kan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Chang. A scholar is included among the top collaborators of Kan Chang 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 Kan Chang. Kan Chang 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.
Song, Xia, et al.. (2025). Multi-scale wavelet feature fusion network for low-light image enhancement. Computers & Graphics. 127. 104182–104182. 3 indexed citations
2.
Zhao, Yuqian, Fan Zhang, Gui Gui, et al.. (2025). CSFIN: A lightweight network for camouflaged object detection via cross-stage feature interaction. Expert Systems with Applications. 269. 126451–126451. 1 indexed citations
3.
Chang, Kan, et al.. (2025). Conditional Laplacian pyramid networks for exposure correction. Signal Processing Image Communication. 134. 117276–117276. 1 indexed citations
4.
Chang, Kan, et al.. (2024). Object and spatial discrimination makes weakly supervised local feature better. Neural Networks. 180. 106697–106697.
5.
Ling, Mingyang, et al.. (2024). PRNet: Pyramid Restoration Network for RAW Image Super-Resolution. IEEE Transactions on Computational Imaging. 10. 479–495. 8 indexed citations
6.
Chang, Kan, et al.. (2024). Illumination-aware divide-and-conquer network for improperly-exposed image enhancement. Neural Networks. 180. 106733–106733. 4 indexed citations
7.
8.
Yang, Lina, et al.. (2024). DSCA-PSPNet: Dynamic spatial-channel attention pyramid scene parsing network for sugarcane field segmentation in satellite imagery. Frontiers in Plant Science. 14. 1324491–1324491. 11 indexed citations
9.
Zhao, Yuqian, Gui Gui, Fan Zhang, et al.. (2024). Object detection on low-resolution images with two-stage enhancement. Knowledge-Based Systems. 299. 111985–111985. 5 indexed citations
10.
Chen, Jian, Xueqian Zhao, Qiang Fan, et al.. (2024). Tunable collective electromagnetic induced transparency-like effect due to coupling of dual-band bound states in the continuum. Optics Express. 32(27). 49053–49053. 3 indexed citations
11.
Li, Qingxiang, Wei Li, Yuxing Guo, et al.. (2024). FD-Net: Feature Distillation Network for Oral Squamous Cell Carcinoma Lymph Node Segmentation in Hyperspectral Imagery. IEEE Journal of Biomedical and Health Informatics. 28(3). 1552–1563. 19 indexed citations
12.
Zhao, Yuqian, Fan Zhang, Biao Luo, et al.. (2023). Multi-scale feature selection network for lightweight image super-resolution. Neural Networks. 169. 352–364. 23 indexed citations
13.
Chang, Kan, et al.. (2023). DLEN: Deep Laplacian Enhancement Networks for Low-Light Images. 2120–2124. 5 indexed citations
14.
Li, Guiqing, et al.. (2023). PCMG:3D point cloud human motion generation based on self-attention and transformer. The Visual Computer. 40(5). 3765–3780. 3 indexed citations
15.
16.
Li, Minghong, et al.. (2021). 双阶段信息蒸馏的轻量级图像超分辨率网络. Journal of Image and Graphics. 26(5). 991–1005. 1 indexed citations
17.
Chang, Kan, et al.. (2018). Single Image Super Resolution Using Joint Regularization. IEEE Signal Processing Letters. 25(4). 596–600. 31 indexed citations
18.
Chang, Kan. (2011). A Novel Approach for Moving Objects Detection Based on Frames Subtraction and Background Subtraction. Telecommunication Engineering. 1 indexed citations
19.
Men, Aidong, et al.. (2010). An improved Wyner-Ziv video coding with feedback channel. 23. 218–221. 1 indexed citations
20.
Chang, Kan, Aidong Men, & Wenhao Zhang. (2009). Adaptive Intra-frame Rate Control for H.264/AVC. 16. 54–58. 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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