Cheng-Chun Hsu

14 total papers · 498 total citations
7 papers, 188 citations indexed

About

Cheng-Chun Hsu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Cheng-Chun Hsu has authored 7 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Control and Systems Engineering and 2 papers in Computational Mechanics. Recurrent topics in Cheng-Chun Hsu's work include Robot Manipulation and Learning (2 papers), 3D Shape Modeling and Analysis (2 papers) and Human Pose and Action Recognition (2 papers). Cheng-Chun Hsu is often cited by papers focused on Robot Manipulation and Learning (2 papers), 3D Shape Modeling and Analysis (2 papers) and Human Pose and Action Recognition (2 papers). Cheng-Chun Hsu collaborates with scholars based in Taiwan, United States and Indonesia. Cheng-Chun Hsu's co-authors include Yuke Zhu, Zhenyu Jiang, Wen-Huang Cheng, Kai‐Lung Hua, Shintami Chusnul Hidayati, Jianlong Fu, Yu-Ting Chang, Zhenyu Jiang, Lai-Kuan Wong and John See and has published in prestigious journals such as IEEE Transactions on Multimedia, Frontiers in Public Health and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Cheng-Chun Hsu

6 papers receiving 184 citations

Author Peers

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

Author Last Decade Papers Cites
Cheng-Chun Hsu 121 49 26 23 18 7 188
Xianjing Han 218 1.8× 68 1.4× 8 0.3× 77 3.3× 11 0.6× 10 276
Stephen Sorkin 124 1.0× 72 1.5× 62 2.4× 12 0.5× 12 0.7× 6 242
Navaneeth Bodla 209 1.7× 15 0.3× 6 0.2× 50 2.2× 13 0.7× 9 282
Ilya A. Petrov 175 1.4× 37 0.8× 50 1.9× 37 1.6× 6 0.3× 5 232
Alberto Baldrati 218 1.8× 19 0.4× 6 0.2× 64 2.8× 5 0.3× 11 263
Guo-Ye Yang 237 2.0× 28 0.6× 7 0.3× 28 1.2× 5 0.3× 7 273
Kier Storey 28 0.2× 18 0.4× 40 1.5× 16 0.7× 13 0.7× 7 123
Jordi Sànchez-Riera 209 1.7× 12 0.2× 25 1.0× 20 0.9× 6 0.3× 12 254
Hong Mo 207 1.7× 28 0.6× 65 2.5× 61 2.7× 4 0.2× 7 245
Sanyi Zhang 214 1.8× 9 0.2× 4 0.2× 44 1.9× 16 0.9× 10 239

Countries citing papers authored by Cheng-Chun Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Chun Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Chun Hsu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026