Baolin Yi
Impact in
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- Online Learning and Analytics
- Information Systems top 2%
- Recommender Systems and Techniques
Papers in
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- Recommender Systems and Techniques 15
- Educational Technology and Assessment 5
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- Online Learning and Analytics 7
- Co-authors
- Xiaoxuan Shen (14 shared papers)Zhaoli Zhang (10 shared papers)Jiangbo Shu (6 shared papers)Hai Liu (2 shared papers)Sannyuya Liu (3 shared papers)Naixue N. Xiong (2 shared papers)Wei Zhang (2 shared papers)Hai Liu (4 shared papers)
- Journals
- Expert Systems with Applications (3 papers)Wireless Personal Communications (2 papers)Neural Computing and Applications (1 paper)Geo-spatial Information Science (1 paper)Energy & Fuels (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Baolin Yi
39 papers receiving 754 citations
Peers
Comparison fields: 5 of 87
- Computer Science Applications 132
- Information Systems 423
- Artificial Intelligence 350
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 171
Countries citing papers authored by Baolin Yi
This map shows the geographic impact of Baolin Yi'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 Baolin Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolin Yi more than expected).
Fields of papers citing papers by Baolin Yi
This network shows the impact of papers produced by Baolin Yi. 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 Baolin Yi. The network helps show where Baolin Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Baolin Yi, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2019 | 186 | |
| 3 | 2019 | 72 | |
| 4 | 2016 | 47 | |
| 5 | 2022 | 47 | |
| 6 | 2024 | 33 | |
| 7 | 2024 | 32 | |
| 8 | 2024 | 22 | |
| 9 | 2010 | 21 | |
| 10 | 2016 | 14 | |
| 11 | 2019 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2007 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2006 | 5 | |
| 20 | 2025 | 5 |
About Baolin Yi
Baolin Yi is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 775 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (15 papers), Advanced Graph Neural Networks (8 papers), Topic Modeling (7 papers), Online Learning and Analytics (7 papers), Educational Technology and Assessment (5 papers), Image Retrieval and Classification Techniques (4 papers), Electrocatalysts for Energy Conversion (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Science Applications (132 citations), Information Systems (423 citations), Artificial Intelligence (350 citations), Computational Mathematics (5 citations) and Computer Vision and Pattern Recognition (171 citations). Baolin Yi has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaoxuan Shen, Zhaoli Zhang, Jiangbo Shu, Hai Liu, Sannyuya Liu, Naixue N. Xiong, Wei Zhang, Hai Liu, Yong Feng and Hangzhou Zhang. Their work appears in journals such as Expert Systems with Applications, Wireless Personal Communications, Neural Computing and Applications, Geo-spatial Information Science and Energy & Fuels.
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.