Rong Wang
Impact in
- Computational Mathematics top 1%
-
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
-
- Face and Expression Recognition 136
- Advanced Image and Video Retrieval Techniques 26
-
- Advanced Computing and Algorithms 43
- Co-authors
- Feiping NieXuelong LiYupeng YuanMingzai WuSheng YeWeizhong YuZheng WangHan Zhang
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (34 papers)IEEE Transactions on Knowledge and Data Engineering (26 papers)Neurocomputing (20 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (15 papers)Pattern Recognition (9 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Rong Wang
327 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Computational Mathematics 100
- Computer Vision and Pattern Recognition 2.8k
- Media Technology 903
- Urban Studies 499
- Renewable Energy, Sustainability and the Environment 1.2k
Countries citing papers authored by Rong Wang
This map shows the geographic impact of Rong 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 Rong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Wang more than expected).
Fields of papers citing papers by Rong Wang
This network shows the impact of papers produced by Rong 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 Rong Wang. The network helps show where Rong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Rong 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 18 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 11 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 75 | |
| 20 | 2016 | 3 |
About Rong Wang
Rong Wang is a scholar working on Computer Vision and Pattern Recognition, Urban Studies, Media Technology, Computational Mathematics and Artificial Intelligence, having authored 355 papers that have together received 6.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (136 papers), Advanced Clustering Algorithms Research (57 papers), Remote-Sensing Image Classification (54 papers), Advanced Computing and Algorithms (43 papers), Sparse and Compressive Sensing Techniques (32 papers), Machine Learning and ELM (28 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Text and Document Classification Technologies (23 papers). The work is most often cited by research in Computational Mathematics (100 citations), Computer Vision and Pattern Recognition (2.8k citations), Media Technology (903 citations), Urban Studies (499 citations) and Renewable Energy, Sustainability and the Environment (1.2k citations). Rong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feiping Nie, Xuelong Li, Yupeng Yuan, Mingzai Wu, Sheng Ye, Weizhong Yu, Zheng Wang, Han Zhang, Danyang Wu and Zhanxuan Hu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, Neurocomputing, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.
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.