Guoren Wang
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Artificial Intelligence top 0.5%
- Machine Learning and ELM
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Advanced Graph Neural Networks 51
- Machine Learning and ELM 49
- Domain Adaptation and Few-Shot Learning 37
-
- Advanced Database Systems and Queries 62
- Caching and Content Delivery 33
- Co-authors
- Ye Yuan (136 shared papers)Lei Chen (32 shared papers)Chi Harold Liu (35 shared papers)Junchang Xin (34 shared papers)Jeffrey Xu Yu (21 shared papers)Yuhai Zhao (28 shared papers)Yongjiao Sun (17 shared papers)Shuang Li (5 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (42 papers)Neurocomputing (22 papers)World Wide Web (22 papers)Proceedings of the VLDB Endowment (16 papers)Frontiers of Computer Science (7 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Guoren Wang
357 papers receiving 4.3k citations
Guoren Wang's Hit Papers
Peers
Comparison fields: 5 of 159
- Signal Processing 934
- Artificial Intelligence 2.3k
- Computer Vision and Pattern Recognition 1.1k
- Computer Networks and Communications 1.1k
- Computer Science Applications 243
Countries citing papers authored by Guoren Wang
This map shows the geographic impact of Guoren 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 Guoren Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoren Wang more than expected).
Fields of papers citing papers by Guoren Wang
This network shows the impact of papers produced by Guoren 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 Guoren Wang. The network helps show where Guoren Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoren 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 401 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 202 | |
| 2 | SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation Hit paper breakdown → | 2023 | 129 |
| 3 | 2008 | 104 | |
| 4 | 2014 | 75 | |
| 5 | 2014 | 69 | |
| 6 | 2022 | 69 | |
| 7 | 2011 | 63 | |
| 8 | 2011 | 61 | |
| 9 | 2015 | 61 | |
| 10 | 2021 | 58 | |
| 11 | 2012 | 58 | |
| 12 | 2022 | 57 | |
| 13 | 2019 | 56 | |
| 14 | 2023 | 56 | |
| 15 | 2022 | 56 | |
| 16 | 2021 | 54 | |
| 17 | 2011 | 53 | |
| 18 | 2022 | 49 | |
| 19 | 2010 | 49 | |
| 20 | 2013 | 47 |
About Guoren Wang
Guoren Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 401 papers that have together received 4.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (114 papers), Advanced Database Systems and Queries (62 papers), Advanced Graph Neural Networks (51 papers), Machine Learning and ELM (49 papers), Complex Network Analysis Techniques (47 papers), Graph Theory and Algorithms (43 papers), Domain Adaptation and Few-Shot Learning (37 papers) and Caching and Content Delivery (33 papers). The work is most often cited by research in Signal Processing (934 citations), Artificial Intelligence (2.3k citations), Computer Vision and Pattern Recognition (1.1k citations), Computer Networks and Communications (1.1k citations) and Computer Science Applications (243 citations). Guoren Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ye Yuan, Lei Chen, Chi Harold Liu, Junchang Xin, Jeffrey Xu Yu, Yuhai Zhao, Yongjiao Sun, Shuang Li, Ge Yu and Binhui Xie. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Neurocomputing, World Wide Web, Proceedings of the VLDB Endowment and Frontiers of Computer Science.
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.