Kuo‐Chin Fan

3.9k total citations
146 papers, 2.8k citations indexed

About

Kuo‐Chin Fan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Kuo‐Chin Fan has authored 146 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Computer Vision and Pattern Recognition, 32 papers in Media Technology and 21 papers in Signal Processing. Recurrent topics in Kuo‐Chin Fan's work include Image Retrieval and Classification Techniques (35 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Handwritten Text Recognition Techniques (23 papers). Kuo‐Chin Fan is often cited by papers focused on Image Retrieval and Classification Techniques (35 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Handwritten Text Recognition Techniques (23 papers). Kuo‐Chin Fan collaborates with scholars based in Taiwan, United States and China. Kuo‐Chin Fan's co-authors include Chih-Lung Lin, Chin-Chuan Han, Luo-Wei Tsai, Jun‐Wei Hsieh, Yuan-Kai Wang, Chin‐Chuan Han, Jun-Wei Hsieh, Ying-Nong Chen, Jun-Wei Hsieh and Hong-Yuan Mark Liao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Kuo‐Chin Fan

138 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuo‐Chin Fan Taiwan 27 2.0k 754 465 268 252 146 2.8k
Wei Jia China 32 2.7k 1.4× 1.8k 2.4× 485 1.0× 336 1.3× 327 1.3× 155 3.9k
Shihong Lao Japan 24 2.8k 1.4× 638 0.8× 227 0.5× 605 2.3× 152 0.6× 69 3.2k
Shengcai Liao China 34 4.9k 2.5× 884 1.2× 530 1.1× 649 2.4× 178 0.7× 96 5.3k
Kar‐Ann Toh South Korea 26 1.3k 0.7× 909 1.2× 99 0.2× 607 2.3× 356 1.4× 167 2.3k
Xiangyuan Lan China 28 2.8k 1.4× 622 0.8× 224 0.5× 394 1.5× 161 0.6× 60 3.3k
Giuseppe Amato Italy 24 1.4k 0.7× 683 0.9× 273 0.6× 790 2.9× 172 0.7× 150 2.7k
Xiangqian Wu China 26 1.8k 0.9× 1.0k 1.4× 254 0.5× 295 1.1× 365 1.4× 85 2.6k
Jean‐Luc Dugelay France 29 3.6k 1.8× 1.2k 1.6× 245 0.5× 573 2.1× 358 1.4× 226 4.1k
Jinfeng Yang China 26 909 0.5× 1.0k 1.3× 133 0.3× 226 0.8× 266 1.1× 134 2.3k
Yun Fu United States 27 3.2k 1.6× 727 1.0× 339 0.7× 551 2.1× 88 0.3× 89 3.7k

Countries citing papers authored by Kuo‐Chin Fan

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chin Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chin Fan. 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 Kuo‐Chin Fan. The network helps show where Kuo‐Chin Fan may publish in the future.

Co-authorship network of co-authors of Kuo‐Chin Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Chin Fan. A scholar is included among the top collaborators of Kuo‐Chin Fan 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 Kuo‐Chin Fan. Kuo‐Chin Fan 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.
Chen, Y. I., et al.. (2025). A 3-D Spatial–Spectral–Temporal Deep Regression Model for Improving Mangrove Canopy Height Estimation Through Fusion of Optimized Red-Edge Sentinel-2 Bands and Sentinel-1 SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 23967–23992.
2.
Chen, Ying-Nong, et al.. (2023). Special Issue Review: Artificial Intelligence and Machine Learning Applications in Remote Sensing. Remote Sensing. 15(3). 569–569. 22 indexed citations
3.
Lin, Chih-Lung, et al.. (2023). Develop a Lightweight Convolutional Neural Network to Recognize Palms Using 3D Point Clouds. Information. 14(7). 381–381. 1 indexed citations
4.
Lee, Chang-Hsing, et al.. (2018). Local Wavelet Acoustic Pattern: A Novel Time–Frequency Descriptor for Birdsong Recognition. IEEE Transactions on Multimedia. 20(12). 3187–3199. 17 indexed citations
5.
Chen, Kun‐Shan, et al.. (2018). Color Enhancement for Four-Component Decomposed Polarimetric SAR Image Based on a CIE-Lab Encoding. Remote Sensing. 10(4). 545–545. 19 indexed citations
6.
Hsieh, Cheng-Ta, Jau-Ling Shih, Chang-Hsing Lee, Chin‐Chuan Han, & Kuo‐Chin Fan. (2015). 3D model retrieval using multiple features and manifold ranking. 5. 7–10. 2 indexed citations
7.
Fan, Kuo‐Chin, et al.. (2014). Local vector pattern in high-order derivative space for face recognition. 239–243. 17 indexed citations
8.
Han, Chin‐Chuan, et al.. (2012). Palmprint verification using gradient maps and support vector machines. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 3 indexed citations
9.
Fan, Kuo‐Chin, et al.. (2011). An adaptive eye gaze tracker system in the integrated cloud computing and mobile device. 367–371. 8 indexed citations
10.
Shih, Arthur Chun-Chieh, et al.. (2010). A Novel Spectral Clustering Method Based on Pairwise Distance Matrix. Journal of information science and engineering. 26(2). 649–658. 5 indexed citations
11.
Sun, Shih-Wei, et al.. (2006). Motion-embedded residual error for packet loss recovery of video transmission and encryption. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6077. 60771B–60771B. 4 indexed citations
12.
Lu, Chun-Shien, et al.. (2005). Real-time frame-dependent video watermarking in VLC domain. Signal Processing Image Communication. 20(7). 624–642. 32 indexed citations
13.
Fan, Kuo‐Chin, Sung‐Jung Hsiao, & Wen‐Tsai Sung. (2003). Web-based search system of pattern recognition for the pattern of industrial components by an innovate technology. 1. 82–87.
14.
Han, Chin-Chuan, et al.. (2003). Hyperspectral and SAR imagery data fusion with positive Boolean function. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5093. 765–765. 7 indexed citations
15.
Fan, Kuo‐Chin & Mei‐Lin Chang. (2002). Form document identification using line structure based features. 2. 1098–1100. 6 indexed citations
16.
Fan, Kuo‐Chin, et al.. (2002). Multi-modal gray-level histogram modeling and decomposition. Image and Vision Computing. 20(3). 203–216. 45 indexed citations
17.
Fan, Kuo‐Chin, et al.. (2001). Color image retrieval using geometric properties. 17(5). 729–751. 1 indexed citations
18.
Fan, Kuo‐Chin, et al.. (2001). Fingerprint ridge allocation in direct gray-scale domain. Pattern Recognition. 34(10). 1907–1925. 14 indexed citations
19.
Fan, Kuo‐Chin, et al.. (1998). Video transcoding architecture with minimum buffer requirement for compressed MPEG-2 bitstream. Signal Processing. 67(2). 223–235. 6 indexed citations
20.
Wang, Yuan-Kai, Kuo‐Chin Fan, & Jorng‐Tzong Horng. (1995). Error-Correcting Isomorphism of Directed Graphs by Genetic-Based Search.. Journal of information science and engineering. 11. 127–151. 2 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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