Wenting Wang
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Haopeng ChenMingming ZhouMan LanYuanbin WuXin MaoXi ChenJin GuoZhengrong Xiang
- Topics
- Cloud Computing and Resource Management (10 papers)IoT and Edge/Fog Computing (7 papers)Distributed and Parallel Computing Systems (5 papers)
- Cited by
- Information SystemsComputer Networks and CommunicationsManagement Science and Operations Research
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsJournal of the Franklin InstituteJournal of the Association for Information Systems
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wenting Wang
36 papers receiving 511 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 197
- Computer Networks and Communications 173
- Information Systems 173
- Management Science and Operations Research 88
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Wenting Wang
This map shows the geographic impact of Wenting 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 Wenting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenting Wang more than expected).
Fields of papers citing papers by Wenting Wang
This network shows the impact of papers produced by Wenting 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 Wenting Wang. The network helps show where Wenting Wang may publish in the future.
Co-authorship network of co-authors of Wenting Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenting Wang. A scholar is included among the top collaborators of Wenting Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenting Wang. Wenting Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 107 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 48 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | Understanding the Effects of Mobile Gamification on Learning Performance | 4 |
| 20 | 3 |
About Wenting Wang
Wenting Wang is a scholar working on Computer Graphics and Computer-Aided Design, Information Systems and Computer Networks and Communications, having authored 40 papers that have together received 526 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), IoT and Edge/Fog Computing (7 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Information Systems (173 citations), Computer Networks and Communications (173 citations) and Management Science and Operations Research (88 citations). Wenting Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Haopeng Chen, Mingming Zhou, Man Lan, Yuanbin Wu, Xin Mao, Xi Chen, Jin Guo, Zhengrong Xiang, Jinghui Cheng and Feiping Nie. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of the Franklin Institute and Journal of the Association for Information Systems.
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.