Chien-Chung Hsu
- Global and Planetary Change top 10%
- Nature and Landscape Conservation top 5%
- Aquatic Science top 2%
- Ecology top 10%
- Molecular Biology
- Co-authors
- Kuo‐Shu ChenPaul R. CroneHui‐Hua LeeToshiyuki TanabeTamaki ShimoseHsi‐Yuan YangChiee-Young ChenHung‐Du Lin
- Topics
- Marine and fisheries research (14 papers)Fish Biology and Ecology Studies (9 papers)Fish Ecology and Management Studies (5 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chien-Chung Hsu
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 31
- Global and Planetary Change 244
- Nature and Landscape Conservation 179
- Aquatic Science 174
- Ecology 145
- Molecular Biology 81
Countries citing papers authored by Chien-Chung Hsu
This map shows the geographic impact of Chien-Chung 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 Chien-Chung Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Chung Hsu more than expected).
Fields of papers citing papers by Chien-Chung Hsu
This network shows the impact of papers produced by Chien-Chung 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 Chien-Chung Hsu. The network helps show where Chien-Chung Hsu may publish in the future.
Co-authorship network of co-authors of Chien-Chung Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Chung Hsu. A scholar is included among the top collaborators of Chien-Chung 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 Chien-Chung Hsu. Chien-Chung Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | Standardized catch per unit effort of Pacific bluefin tuna (Thunnus orientalis) by general linear model for Taiwanese small-scale longline fishery in the southwestern North Pacific Ocean | 1 |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 75 | |
| 7 | 20 | |
| 8 | 29 | |
| 9 | 79 | |
| 10 | 44 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 14 | |
| 19 | Stock Assessment of Albacore in the Indian Ocean By Age-Structured Production Model | 4 |
| 20 | Estimation of Vital Parameters for Indian Albacore Through Length Frequency Data | 6 |
About Chien-Chung Hsu
Chien-Chung Hsu is a scholar working on Aquatic Science, Global and Planetary Change and Nature and Landscape Conservation, having authored 21 papers that have together received 409 indexed citations. Recurring topics across this work include Marine and fisheries research (14 papers), Fish Biology and Ecology Studies (9 papers) and Fish Ecology and Management Studies (5 papers). The work is most often cited by research in Aquatic Science (174 citations), Nature and Landscape Conservation (179 citations) and Global and Planetary Change (244 citations). Chien-Chung Hsu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Kuo‐Shu Chen, Paul R. Crone, Hui‐Hua Lee, Toshiyuki Tanabe, Tamaki Shimose, Hsi‐Yuan Yang, Chiee-Young Chen, Hung‐Du Lin, Shui‐Kai Chang and Tzen‐Yuh Chiang. Their work appears in journals such as Marine Pollution Bulletin, Fisheries Research and Journal of Crustacean Biology.
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.