Gai Li
Impact in
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- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
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- Recommender Systems and Techniques 8
- Expert finding and Q&A systems 4
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- Advanced battery technologies research 3
- Fuel Cells and Related Materials 3
- Co-authors
- Qiang Chen (1 shared paper)Weihua Ou (4 shared papers)Danli Zeng (2 shared papers)Yubao Sun (2 shared papers)Hansong Cheng (2 shared papers)Liyang Wang (3 shared papers)Jian Lü (1 shared paper)Shujian Yu (1 shared paper)
- Journals
- Chemical Communications (2 papers)Neurocomputing (2 papers)Nano Energy (1 paper)Scientific Reports (1 paper)Applied Surface Science (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Gai Li
29 papers receiving 546 citations
Peers
Comparison fields: 5 of 87
- Renewable Energy, Sustainability and the Environment 90
- Information Systems 113
- Computer Vision and Pattern Recognition 93
- Energy Engineering and Power Technology 11
- Automotive Engineering 41
Countries citing papers authored by Gai Li
This map shows the geographic impact of Gai Li'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 Gai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gai Li more than expected).
Fields of papers citing papers by Gai Li
This network shows the impact of papers produced by Gai Li. 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 Gai Li. The network helps show where Gai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Gai Li, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 70 | |
| 2 | 2016 | 52 | |
| 3 | 2016 | 49 | |
| 4 | 2011 | 46 | |
| 5 | 2017 | 39 | |
| 6 | 2016 | 38 | |
| 7 | 2015 | 34 | |
| 8 | 2016 | 29 | |
| 9 | 2024 | 22 | |
| 10 | 2017 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2011 | 18 | |
| 14 | 2016 | 16 | |
| 15 | 2014 | 16 | |
| 16 | 2015 | 14 | |
| 17 | 2025 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2017 | 9 | |
| 20 | 2011 | 8 |
About Gai Li
Gai Li is a scholar working on Information Systems, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment, having authored 31 papers that have together received 564 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Expert finding and Q&A systems (4 papers), Face and Expression Recognition (3 papers), Electrocatalysts for Energy Conversion (3 papers), Advanced battery technologies research (3 papers), Fuel Cells and Related Materials (3 papers), Conducting polymers and applications (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (90 citations), Information Systems (113 citations), Computer Vision and Pattern Recognition (93 citations), Energy Engineering and Power Technology (11 citations) and Automotive Engineering (41 citations). Gai Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qiang Chen, Weihua Ou, Danli Zeng, Yubao Sun, Hansong Cheng, Liyang Wang, Jian Lü, Shujian Yu, Yian Zhu and Shengyi Zhang. Their work appears in journals such as Chemical Communications, Neurocomputing, Nano Energy, Scientific Reports and Applied Surface Science.
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.