Yichen Wang
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Aditya Pal (1 shared paper)Jure Leskovec (1 shared paper)Jiaxuan You (1 shared paper)Rakshit Trivedi (2 shared papers)Hanjun Dai (2 shared papers)Le Song (1 shared paper)Jun Hu (1 shared paper)Qing Li (1 shared paper)
- Journals
- Information Sciences (2 papers)Animals (2 papers)IEEE Intelligent Transportation Systems Magazine (1 paper)Electronics (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yichen Wang
35 papers receiving 255 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 146
- Health Informatics 6
- Information Systems 99
- Computer Vision and Pattern Recognition 77
- Software 7
Countries citing papers authored by Yichen Wang
This map shows the geographic impact of Yichen Wang'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 Yichen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Wang more than expected).
Fields of papers citing papers by Yichen Wang
This network shows the impact of papers produced by Yichen Wang. 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 Yichen Wang. The network helps show where Yichen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yichen Wang, 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 | 2019 | 75 | |
| 2 | 2016 | 31 | |
| 3 | 2022 | 20 | |
| 4 | 2020 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 5 | |
| 13 | Recurrent Coevolutionary Feature Embedding Processes for Recommendation | 2017 | 5 |
| 14 | 2016 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2018 | 3 |
About Yichen Wang
Yichen Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Software and Computer Networks and Communications, having authored 42 papers that have together received 267 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Software Engineering Techniques and Practices (4 papers), Natural Language Processing Techniques (4 papers), Software Reliability and Analysis Research (4 papers), Software Engineering Research (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Recommender Systems and Techniques (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (146 citations), Health Informatics (6 citations), Information Systems (99 citations), Computer Vision and Pattern Recognition (77 citations) and Software (7 citations). Yichen Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Aditya Pal, Jure Leskovec, Jiaxuan You, Rakshit Trivedi, Hanjun Dai, Le Song, Jun Hu, Qing Li, Yantao Lu and Tao You. Their work appears in journals such as Information Sciences, Animals, IEEE Intelligent Transportation Systems Magazine, Electronics and Computers and Electronics in Agriculture.
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.