Guoping Wang
Impact in
-
- Face and Expression Recognition
- Face recognition and analysis
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Face and Expression Recognition 3
- Advanced Vision and Imaging 3
- Context-Aware Activity Recognition Systems 3
- Co-authors
- Yisong Chen (3 shared papers)Chee-Yong Chan (2 shared papers)Zhuming Bi (4 shared papers)Li Da Xu (1 shared paper)Misha Pavel (3 shared papers)Qiong Cao (1 shared paper)Chen Li (1 shared paper)Xiaoyong Shen (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Internet Research (2 papers)Journal of the Franklin Institute (1 paper)Theoretical and Applied Genetics (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Guoping Wang
36 papers receiving 351 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 120
- Signal Processing 48
- Information Systems 84
- Artificial Intelligence 117
- Industrial and Manufacturing Engineering 36
Countries citing papers authored by Guoping Wang
This map shows the geographic impact of Guoping 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 Guoping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoping Wang more than expected).
Fields of papers citing papers by Guoping Wang
This network shows the impact of papers produced by Guoping 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 Guoping Wang. The network helps show where Guoping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoping 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 97 | |
| 2 | 2016 | 40 | |
| 3 | 2013 | 38 | |
| 4 | 2019 | 28 | |
| 5 | 2017 | 28 | |
| 6 | 2023 | 13 | |
| 7 | 2016 | 12 | |
| 8 | 2003 | 11 | |
| 9 | 2001 | 11 | |
| 10 | A Progressive Transductive Inference Algorithm Based on Support Vector Machine | 2003 | 10 |
| 11 | 2015 | 8 | |
| 12 | 2001 | 7 | |
| 13 | 2006 | 7 | |
| 14 | 2003 | 7 | |
| 15 | 2011 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2021 | 5 | |
| 19 | Fast Marker-Controlled Interactive Mesh Segmentation | 2006 | 3 |
| 20 | 2007 | 3 |
About Guoping Wang
Guoping Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 40 papers that have together received 373 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (4 papers), Face and Expression Recognition (3 papers), IoT and Edge/Fog Computing (3 papers), Low-power high-performance VLSI design (3 papers), Digital Filter Design and Implementation (3 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Signal Processing (48 citations), Information Systems (84 citations), Artificial Intelligence (117 citations) and Industrial and Manufacturing Engineering (36 citations). Guoping Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yisong Chen, Chee-Yong Chan, Zhuming Bi, Li Da Xu, Misha Pavel, Qiong Cao, Chen Li, Xiaoyong Shen, Yu‐Wing Tai and Chengwei Pan. Their work appears in journals such as Proceedings of the VLDB Endowment, Internet Research, Journal of the Franklin Institute, Theoretical and Applied Genetics and Pattern Recognition Letters.
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.