Chao-Chun Hsu

477 citations
17 papers · 243 indexed · h-index 9
Topics
Reproductive Biology and Fertility (3 papers)Sperm and Testicular Function (3 papers)Machine Learning in Healthcare (2 papers)

In The Last Decade

Chao-Chun Hsu

16 papers receiving 234 citations

Peers

Chao-Chun Hsu
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 89
  • Bioengineering 46
  • Electrochemistry 46
  • Sociology and Political Science 38
  • Molecular Biology 34
Replace Md Faisal Kabir with:
Md Faisal Kabir United States
Terrance Frederick Fernandez India
Manreet Kaur Sohal India
David E. Williams United States
Daidi Zhong China
Ranka Stanković Serbia
José Wally Mendonça Menezes Brazil
Junfeng Zhao China
Fuqing Zhu China
Abhilasha Sharma India
Chao-Chun Hsu relative to Md Faisal Kabir United States Md Faisal Kabir's profile →
Citations per field
00.5×9.5×
Md Faisal Kabir · 1×
Citations per year

Countries citing papers authored by Chao-Chun Hsu

Since Specialization
Citations

This map shows the geographic impact of Chao-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 Chao-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 Chao-Chun Hsu more than expected).

Fields of papers citing papers by Chao-Chun Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 3
3 4
4 1
5 1
6 2
7 15
8 8
9 22
10 5
11 39
12 13
13 5
14
SWOON: a testbed for secure wireless overlay networks
8
15 98
16 8
17 11

About Chao-Chun Hsu

Chao-Chun Hsu is a scholar working on Reproductive Medicine, Health Information Management and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 243 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (3 papers), Sperm and Testicular Function (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Bioengineering (46 citations), Electrochemistry (46 citations) and Nephrology (12 citations). Chao-Chun Hsu has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Jyh‐Myng Zen, Dong‐Mung Tsai, Annamalai Senthil Kumar, Lun‐Wei Ku, Cheng‐Hung Huang, Ziyuan Chen, Ting-Hao Huang, Tsung-Han Yang, J. Hwang and Sendhil Mullainathan. Their work appears in journals such as Nature Communications, Applied Microbiology and Biotechnology and Molecules.

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