Chenyi Lei
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
-
- Recommender Systems and Techniques 10
-
- Multimodal Machine Learning Applications 6
- Image Retrieval and Classification Techniques 4
- Advanced Image and Video Retrieval Techniques 3
- Co-authors
- Yong Liu (4 shared papers)Chunyan Miao (4 shared papers)Guoxin Wang (6 shared papers)Haihong Tang (5 shared papers)Dong Liu (5 shared papers)Houqiang Li (4 shared papers)Weiping Li (1 shared paper)Aixin Sun (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (2 papers)Complexity (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)DR-NTU (Nanyang Technological University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Chenyi Lei
16 papers receiving 260 citations
Peers
Comparison fields: 5 of 46
- Information Systems 181
- Artificial Intelligence 175
- Computer Vision and Pattern Recognition 103
- Computational Mathematics 2
- Management Science and Operations Research 28
Countries citing papers authored by Chenyi Lei
This map shows the geographic impact of Chenyi Lei'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 Chenyi Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyi Lei more than expected).
Fields of papers citing papers by Chenyi Lei
This network shows the impact of papers produced by Chenyi Lei. 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 Chenyi Lei. The network helps show where Chenyi Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyi Lei, 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 | 2022 | 49 | |
| 2 | 2021 | 47 | |
| 3 | 2021 | 36 | |
| 4 | 2021 | 27 | |
| 5 | 2019 | 24 | |
| 6 | 2015 | 20 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Chenyi Lei
Chenyi Lei is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Transportation and Computer Networks and Communications, having authored 18 papers that have together received 266 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Multimodal Machine Learning Applications (6 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Graph Neural Networks (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Sentiment Analysis and Opinion Mining (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Information Systems (181 citations), Artificial Intelligence (175 citations), Computer Vision and Pattern Recognition (103 citations), Computational Mathematics (2 citations) and Management Science and Operations Research (28 citations). Chenyi Lei has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yong Liu, Chunyan Miao, Guoxin Wang, Haihong Tang, Dong Liu, Houqiang Li, Weiping Li, Aixin Sun, Lizhen Cui and Juyong Zhang. Their work appears in journals such as IEEE Transactions on Multimedia, Complexity, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, DR-NTU (Nanyang Technological University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.