Weizhe Lin
Impact in
-
- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
-
- Digital Mental Health Interventions
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 4
- Advanced Graph Neural Networks 2
- Domain Adaptation and Few-Shot Learning 2
-
- Multimodal Machine Learning Applications 5
- Co-authors
- Qingbiao Li (3 shared papers)Zhe Liu (1 shared paper)Amanda Prorok (1 shared paper)Bill Byrne (10 shared papers)Marwa Mahmoud (3 shared papers)Mingyu Liu (1 shared paper)Neil C. Greenham (1 shared paper)Elizabeth M. Tennyson (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Frontiers in Cardiovascular Medicine (1 paper)IEEE Transactions on Affective Computing (1 paper)Nature Machine Intelligence (1 paper)ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Weizhe Lin
16 papers receiving 241 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 97
- Applied Psychology 17
- Experimental and Cognitive Psychology 38
- Artificial Intelligence 90
- Computer Networks and Communications 34
Countries citing papers authored by Weizhe Lin
This map shows the geographic impact of Weizhe Lin'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 Weizhe Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weizhe Lin more than expected).
Fields of papers citing papers by Weizhe Lin
This network shows the impact of papers produced by Weizhe Lin. 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 Weizhe Lin. The network helps show where Weizhe Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weizhe Lin, 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 | 2021 | 122 | |
| 2 | 2020 | 47 | |
| 3 | 2022 | 26 | |
| 4 | 2023 | 22 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 |
About Weizhe Lin
Weizhe Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Social Psychology and Applied Psychology, having authored 19 papers that have together received 248 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers), Natural Language Processing Techniques (4 papers), Emotion and Mood Recognition (3 papers), Mental Health via Writing (2 papers), Digital Mental Health Interventions (2 papers), Advanced Graph Neural Networks (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Applied Psychology (17 citations), Experimental and Cognitive Psychology (38 citations), Artificial Intelligence (90 citations) and Computer Networks and Communications (34 citations). Weizhe Lin has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Qingbiao Li, Zhe Liu, Amanda Prorok, Bill Byrne, Marwa Mahmoud, Mingyu Liu, Neil C. Greenham, Elizabeth M. Tennyson, Gabriela Pavarini and Kyle Frohna. Their work appears in journals such as IEEE Robotics and Automation Letters, Frontiers in Cardiovascular Medicine, IEEE Transactions on Affective Computing, Nature Machine Intelligence and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
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.