Liwei Cai
Impact in
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
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- scientometrics and bibliometrics research
Papers in
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- Topic Modeling 2
- Natural Language Processing Techniques 2
- Speech Recognition and Synthesis 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- William Yang Wang (1 shared paper)Lingao Ju (1 shared paper)Kaiyu Qian (1 shared paper)Yejinpeng Wang (1 shared paper)Xinghuan Wang (1 shared paper)Xuefeng Liu (1 shared paper)Yu Xiao (1 shared paper)Songtao Cheng (1 shared paper)
- Journals
- Clinical Science (1 paper)Journal of low frequency noise, vibration and active control (1 paper)Scientometrics (1 paper)Journal of Computational and Nonlinear Dynamics (1 paper)Shuju fenxi yu zhishi faxian (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Liwei Cai
8 papers receiving 300 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 177
- Statistics, Probability and Uncertainty 27
- Cancer Research 44
- Statistical and Nonlinear Physics 34
- Management Science and Operations Research 27
Countries citing papers authored by Liwei Cai
This map shows the geographic impact of Liwei Cai'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 Liwei Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwei Cai more than expected).
Fields of papers citing papers by Liwei Cai
This network shows the impact of papers produced by Liwei Cai. 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 Liwei Cai. The network helps show where Liwei Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Liwei Cai, 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 | 2018 | 153 | |
| 2 | 2019 | 92 | |
| 3 | 2018 | 35 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 9 | |
| 6 | 2024 | 3 | |
| 7 | 2017 | 1 | |
| 8 | 2024 | 1 |
About Liwei Cai
Liwei Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Civil and Structural Engineering and Mechanical Engineering, having authored 8 papers that have together received 306 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Mechanical Engineering and Vibrations Research (1 paper), Cancer, Lipids, and Metabolism (1 paper), Seismic Performance and Analysis (1 paper) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Artificial Intelligence (177 citations), Statistics, Probability and Uncertainty (27 citations), Cancer Research (44 citations), Statistical and Nonlinear Physics (34 citations) and Management Science and Operations Research (27 citations). Liwei Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include William Yang Wang, Lingao Ju, Kaiyu Qian, Yejinpeng Wang, Xinghuan Wang, Xuefeng Liu, Yu Xiao, Songtao Cheng, Gang Wang and Xiaomei Bai. Their work appears in journals such as Clinical Science, Journal of low frequency noise, vibration and active control, Scientometrics, Journal of Computational and Nonlinear Dynamics and Shuju fenxi yu zhishi faxian.
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.