Siwei Gao
Impact in
- Endocrinology top 10%
- Plant and Fungal Interactions Research
-
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
Papers in
-
- Mining Techniques and Economics 4
-
- Neural Networks and Applications 2
- Advanced Clustering Algorithms Research 1
- Co-authors
- Shiwei Yu (4 shared papers)Bin Chen (1 shared paper)Donald L. Nuss (1 shared paper)Gil H. Choi (1 shared paper)Kejun Zhu (4 shared papers)Juan Yang (1 shared paper)Shuhong Zheng (1 shared paper)Yong He (3 shared papers)
- Journals
- Neural Computing and Applications (2 papers)Expert Systems with Applications (2 papers)Water Resources and Economics (1 paper)Applied Physics Express (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Siwei Gao
21 papers receiving 377 citations
Peers
Comparison fields: 5 of 104
- Endocrinology 59
- Plant Science 103
- Molecular Medicine 13
- Management Science and Operations Research 32
- Control and Systems Engineering 58
Countries citing papers authored by Siwei Gao
This map shows the geographic impact of Siwei Gao'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 Siwei Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Gao more than expected).
Fields of papers citing papers by Siwei Gao
This network shows the impact of papers produced by Siwei Gao. 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 Siwei Gao. The network helps show where Siwei Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Siwei Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 90 | |
| 2 | 2017 | 59 | |
| 3 | 2021 | 38 | |
| 4 | 2008 | 29 | |
| 5 | 2015 | 29 | |
| 6 | 2023 | 24 | |
| 7 | 2019 | 19 | |
| 8 | 2006 | 17 | |
| 9 | 2008 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2015 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2012 | 6 | |
| 15 | 2007 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 3 | |
| 18 | A risk-based risk finance paradigm | 2012 | 2 |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Siwei Gao
Siwei Gao is a scholar working on Control and Systems Engineering, Artificial Intelligence, Finance, Mechanical Engineering and Plant Science, having authored 21 papers that have together received 384 indexed citations. Recurring topics across this work include Mining Techniques and Economics (4 papers), Financial Risk and Volatility Modeling (2 papers), Mineral Processing and Grinding (2 papers), Neural Networks and Applications (2 papers), Fermentation and Sensory Analysis (1 paper), Plant and Fungal Interactions Research (1 paper), Advanced Clustering Algorithms Research (1 paper) and Water resources management and optimization (1 paper). The work is most often cited by research in Endocrinology (59 citations), Plant Science (103 citations), Molecular Medicine (13 citations), Management Science and Operations Research (32 citations) and Control and Systems Engineering (58 citations). Siwei Gao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shiwei Yu, Bin Chen, Donald L. Nuss, Gil H. Choi, Kejun Zhu, Juan Yang, Shuhong Zheng, Yong He, Ting Liu and Jian Zhang. Their work appears in journals such as Neural Computing and Applications, Expert Systems with Applications, Water Resources and Economics, Applied Physics Express and BioMed Research International.
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.