Ching-Chun Huang

149 total papers · 1.4k total citations
94 papers, 1.0k citations indexed

About

Ching-Chun Huang is a scholar working on Computer Vision and Pattern Recognition, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Ching-Chun Huang has authored 94 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 23 papers in Building and Construction and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Ching-Chun Huang's work include Video Surveillance and Tracking Methods (29 papers), Smart Parking Systems Research (19 papers) and Image Enhancement Techniques (16 papers). Ching-Chun Huang is often cited by papers focused on Video Surveillance and Tracking Methods (29 papers), Smart Parking Systems Research (19 papers) and Image Enhancement Techniques (16 papers). Ching-Chun Huang collaborates with scholars based in Taiwan, Vietnam and United States. Ching-Chun Huang's co-authors include Sheng‐Jyh Wang, Chi‐Chang Hu, Kuo‐Hsin Chang, Tsuhan Chen, Wei-Chen Chiu, Qi Wu, Yung-Fu Chen, Yung‐Kuan Chan, Meng-Hsiun Tsai and Yen‐Ping Chu and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Image Processing and Electrochimica Acta.

In The Last Decade

Ching-Chun Huang

85 papers receiving 998 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ching-Chun Huang 443 302 240 225 183 94 1.0k
Wei Shao 179 0.4× 269 0.9× 207 0.9× 80 0.4× 86 0.5× 100 1.2k
Peter Veelaert 462 1.0× 60 0.2× 290 1.2× 59 0.3× 60 0.3× 130 1.1k
Yiming Wang 141 0.3× 56 0.2× 321 1.3× 70 0.3× 44 0.2× 104 1.2k
Lei Ke 360 0.8× 103 0.3× 345 1.4× 66 0.3× 15 0.1× 32 1.0k
Lei Feng 264 0.6× 128 0.4× 120 0.5× 80 0.4× 99 0.5× 63 990
Yang Li 203 0.5× 52 0.2× 232 1.0× 45 0.2× 38 0.2× 73 1.1k
Yuxin Wang 212 0.5× 34 0.1× 260 1.1× 193 0.9× 43 0.2× 110 1.2k
Zhen Yang 116 0.3× 57 0.2× 295 1.2× 48 0.2× 73 0.4× 44 959
G Anitha 162 0.4× 46 0.2× 414 1.7× 95 0.4× 45 0.2× 137 1.2k
Yi Yang 407 0.9× 26 0.1× 520 2.2× 49 0.2× 207 1.1× 43 1.2k

Countries citing papers authored by Ching-Chun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Chun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Chun Huang. 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 Ching-Chun Huang. The network helps show where Ching-Chun Huang may publish in the future.

Co-authorship network of co-authors of Ching-Chun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Chun Huang. A scholar is included among the top collaborators of Ching-Chun Huang 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 Ching-Chun Huang. Ching-Chun Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026