Yiwei Wang
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Transportation top 10%
- Transportation Planning and Optimization
Papers in
-
- Advanced Graph Neural Networks 9
- Topic Modeling 5
- Natural Language Processing Techniques 2
- Domain Adaptation and Few-Shot Learning 2
- Semantic Web and Ontologies 1
-
- Complex Network Analysis Techniques 4
- Co-authors
- Bryan Hooi (8 shared papers)Yujun Cai (5 shared papers)Yuxuan Liang (4 shared papers)Wei Wang (1 shared paper)Wei Wang (2 shared papers)Juncheng Liu (1 shared paper)Jinjun Tang (1 shared paper)Licheng Zhao (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)IET Radar Sonar & Navigation (1 paper)Processes (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Yiwei Wang
12 papers receiving 259 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 203
- Transportation 31
- Statistical and Nonlinear Physics 55
- Computer Vision and Pattern Recognition 46
- Information Systems 50
Countries citing papers authored by Yiwei Wang
This map shows the geographic impact of Yiwei 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 Yiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei Wang more than expected).
Fields of papers citing papers by Yiwei Wang
This network shows the impact of papers produced by Yiwei 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 Yiwei Wang. The network helps show where Yiwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 86 | |
| 2 | 2020 | 71 | |
| 3 | 2019 | 31 | |
| 4 | 2021 | 28 | |
| 5 | 2019 | 21 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2017 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Yiwei Wang
Yiwei Wang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Networks and Communications and Automotive Engineering, having authored 14 papers that have together received 262 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Topic Modeling (5 papers), Complex Network Analysis Techniques (4 papers), Natural Language Processing Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Radar Systems and Signal Processing (1 paper), Smart Grid and Power Systems (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (203 citations), Transportation (31 citations), Statistical and Nonlinear Physics (55 citations), Computer Vision and Pattern Recognition (46 citations) and Information Systems (50 citations). Yiwei Wang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Bryan Hooi, Yujun Cai, Yuxuan Liang, Wei Wang, Wei Wang, Juncheng Liu, Jinjun Tang, Licheng Zhao, Fang Liu and Sandeep Kumar. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Intelligent Transportation Systems, IET Radar Sonar & Navigation, Processes and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.