Li‐Wei Kang

1.8k total citations
74 papers, 1.2k citations indexed

About

Li‐Wei Kang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Li‐Wei Kang has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Li‐Wei Kang's work include Image and Signal Denoising Methods (18 papers), Advanced Image Processing Techniques (17 papers) and Advanced Vision and Imaging (13 papers). Li‐Wei Kang is often cited by papers focused on Image and Signal Denoising Methods (18 papers), Advanced Image Processing Techniques (17 papers) and Advanced Vision and Imaging (13 papers). Li‐Wei Kang collaborates with scholars based in Taiwan, United States and China. Li‐Wei Kang's co-authors include Chun-Shien Lu, Chia‐Wen Lin, Yu-Chiang Frank Wang, De-An Huang, Chih‐Yang Lin, Chia‐Hung Yeh, Jin-Jang Leou, Chao-Yung Hsu, Chih–Chung Hsu and Min-Chun Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Information Sciences and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Li‐Wei Kang

72 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Wei Kang Taiwan 18 1.0k 253 239 195 130 74 1.2k
Kim–Hui Yap Singapore 22 1.3k 1.2× 329 1.3× 140 0.6× 116 0.6× 78 0.6× 138 1.6k
Shuyuan Zhu China 19 1.1k 1.1× 180 0.7× 72 0.3× 280 1.4× 135 1.0× 124 1.3k
Huihui Bai China 18 988 1.0× 290 1.1× 71 0.3× 285 1.5× 42 0.3× 126 1.2k
Junseok Kwon South Korea 16 1.8k 1.7× 126 0.5× 53 0.2× 43 0.2× 167 1.3× 81 1.9k
Bo Peng China 20 757 0.7× 203 0.8× 78 0.3× 128 0.7× 46 0.4× 90 1.0k
Tammam Tillo China 19 1.2k 1.1× 259 1.0× 43 0.2× 522 2.7× 182 1.4× 87 1.4k
Brian McWilliams Switzerland 12 1.7k 1.6× 222 0.9× 109 0.5× 53 0.3× 51 0.4× 22 2.0k
Heming Sun Japan 17 1.3k 1.3× 96 0.4× 56 0.2× 604 3.1× 198 1.5× 100 1.6k

Countries citing papers authored by Li‐Wei Kang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Wei Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Wei Kang. 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 Li‐Wei Kang. The network helps show where Li‐Wei Kang may publish in the future.

Co-authorship network of co-authors of Li‐Wei Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Wei Kang. A scholar is included among the top collaborators of Li‐Wei Kang 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 Li‐Wei Kang. Li‐Wei Kang 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
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Lee, Chia-Ming, et al.. (2025). HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion. 2168–2172. 1 indexed citations
3.
Chen, Shih-Yu, et al.. (2025). Automated peanut defect detection using hyperspectral imaging and deep learning: A real-time approach for smart agriculture. Smart Agricultural Technology. 11. 100943–100943. 1 indexed citations
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Chiang, Hsin‐Han, et al.. (2023). A lightweight deep learning model for real‐time face recognition. IET Image Processing. 17(13). 3869–3883. 6 indexed citations
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Hsu, Chao-Yung, et al.. (2018). Fish-Eye Lenses-Based Camera Calibration and Panoramic Image Stitching. 1–2. 7 indexed citations
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Kang, Li‐Wei, et al.. (2018). Deep Learning-Based Weather Image Recognition. 384–387. 28 indexed citations
10.
Yeh, Chia-Hung, et al.. (2018). Single Image Dehazing via Deep Learning-based Image Restoration. 1609–1615. 13 indexed citations
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Hsu, Chao-Yung, et al.. (2018). Depth-based feature extraction-guided automatic identification tracking of steel products for smart manufacturing in steel 4.0. 2018 IEEE International Conference on Applied System Invention (ICASI). 145–146. 6 indexed citations
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Hsu, Chao-Yung, et al.. (2016). Fast vision-based surface inspection of defects for steel billets. 1–2. 6 indexed citations
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Hsu, Chao-Yung, et al.. (2016). Fast image stitching for continuous casting steel billet images. 36. 1–2. 7 indexed citations
15.
Li, Junying, Li‐Wei Kang, Chia-Ming Tsai, & Chia‐Wen Lin. (2015). Learning-based movie summarization via role-community analysis and feature fusion. 6073. 1–6. 6 indexed citations
16.
Muchtar, Kahlil, et al.. (2012). Background subtraction by modeling pixel and neighborhood information. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–5. 1 indexed citations
17.
Yeh, Chia‐Hung, et al.. (2012). Efficient image/video dehazing through haze density analysis based on pixel-based dark channel prior. 238–241. 14 indexed citations
18.
Fu, Yu-Hsiang, Li‐Wei Kang, Chia‐Wen Lin, & Chiou-Ting Hsu. (2011). Single-frame-based rain removal via image decomposition. 1453–1456. 57 indexed citations
19.
Lin, Chunyu, Chih–Chung Hsu, Chia‐Wen Lin, & Li‐Wei Kang. (2011). Fast deconvolution-based image super-resolution using gradient prior. 1–4. 5 indexed citations
20.
Kang, Li‐Wei & Chun-Shien Lu. (2009). Distributed compressive video sensing. 1169–1172. 162 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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