Yisu Ge
Impact in
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- Hybrid Renewable Energy Systems
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- Building Energy and Comfort Optimization
Papers in
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- Metaheuristic Optimization Algorithms Research 3
- Domain Adaptation and Few-Shot Learning 2
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- Advanced Memory and Neural Computing 3
- Co-authors
- Guodao Zhang (24 shared papers)H. Elhosiny Ali (4 shared papers)Xiaotian Pan (6 shared papers)Yun Zheng (2 shared papers)Zi Ye (2 shared papers)Dalia H. Elkamchouchi (2 shared papers)Shifeng Wang (1 shared paper)Binh Nguyen Le (2 shared papers)
- Journals
- Computers in Biology and Medicine (2 papers)Chemosphere (2 papers)Results in Engineering (2 papers)IEEE Transactions on Circuits and Systems I Regular Papers (2 papers)Environmental Research (2 papers)
- Partner nations
- ChinaSaudi ArabiaEgypt
In The Last Decade
Yisu Ge
29 papers receiving 329 citations
Peers
Comparison fields: 5 of 103
- Energy Engineering and Power Technology 36
- Building and Construction 39
- Health Information Management 11
- Artificial Intelligence 68
- Electrical and Electronic Engineering 119
Countries citing papers authored by Yisu Ge
This map shows the geographic impact of Yisu Ge'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 Yisu Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yisu Ge more than expected).
Fields of papers citing papers by Yisu Ge
This network shows the impact of papers produced by Yisu Ge. 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 Yisu Ge. The network helps show where Yisu Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Yisu Ge, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 63 | |
| 2 | 2022 | 48 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 22 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 4 |
About Yisu Ge
Yisu Ge is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering, having authored 33 papers that have together received 339 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (3 papers), COVID-19 diagnosis using AI (2 papers), Neuroscience and Neural Engineering (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (36 citations), Building and Construction (39 citations), Health Information Management (11 citations), Artificial Intelligence (68 citations) and Electrical and Electronic Engineering (119 citations). Yisu Ge has collaborated with scholars based in China, Saudi Arabia and Egypt. Frequent co-authors include Guodao Zhang, H. Elhosiny Ali, Xiaotian Pan, Yun Zheng, Zi Ye, Dalia H. Elkamchouchi, Shifeng Wang, Binh Nguyen Le, Mohammad Ghalandari and Qiang Zhou. Their work appears in journals such as Computers in Biology and Medicine, Chemosphere, Results in Engineering, IEEE Transactions on Circuits and Systems I Regular Papers and Environmental Research.
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.