Gan Yang
Impact in
-
- Hybrid Renewable Energy Systems
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
Papers in
-
- Aquaculture Nutrition and Growth 5
- Genetics 4
- Genetic and phenotypic traits in livestock 2
- Connective tissue disorders research 1
- Co-authors
- Xiaoqiang Zhai (1 shared paper)Liang‐Shih Fan (1 shared paper)Weiwei You (4 shared papers)Caihuan Ke (4 shared papers)Xuan Luo (4 shared papers)Yawei Shen (3 shared papers)Qizhen Xiao (3 shared papers)Yi Wang (3 shared papers)
- Journals
- Aquaculture (4 papers)Aquaculture Reports (1 paper)Annals of Palliative Medicine (1 paper)International Journal of Cardiology (1 paper)Sensors (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Gan Yang
14 papers receiving 290 citations
Peers
Comparison fields: 5 of 68
- Energy Engineering and Power Technology 44
- Aquatic Science 32
- Building and Construction 42
- Mechanical Engineering 115
- Renewable Energy, Sustainability and the Environment 48
Countries citing papers authored by Gan Yang
This map shows the geographic impact of Gan Yang'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 Gan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gan Yang more than expected).
Fields of papers citing papers by Gan Yang
This network shows the impact of papers produced by Gan Yang. 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 Gan Yang. The network helps show where Gan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 168 | |
| 2 | 2003 | 55 | |
| 3 | 2022 | 19 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 11 | |
| 6 | 2024 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 0 |
About Gan Yang
Gan Yang is a scholar working on Aquatic Science, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 16 papers that have together received 300 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (5 papers), Genetic and phenotypic traits in livestock (2 papers), Reproductive biology and impacts on aquatic species (2 papers), Marine Bivalve and Aquaculture Studies (2 papers), Connective tissue disorders research (1 paper), COVID-19 diagnosis using AI (1 paper), Marine and fisheries research (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (44 citations), Aquatic Science (32 citations), Building and Construction (42 citations), Mechanical Engineering (115 citations) and Renewable Energy, Sustainability and the Environment (48 citations). Gan Yang has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoqiang Zhai, Liang‐Shih Fan, Weiwei You, Caihuan Ke, Xuan Luo, Yawei Shen, Qizhen Xiao, Yi Wang, Jianpeng Zhang and Zekun Huang. Their work appears in journals such as Aquaculture, Aquaculture Reports, Annals of Palliative Medicine, International Journal of Cardiology and Sensors.
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.