Hongbo Wang
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Shiduan ChengPeng ZhangXing JinXinyu ZhangXiaoyu LiTao JingHuawei YangXinyu Wang
- Topics
- Software-Defined Networks and 5G (8 papers)Cloud Computing and Resource Management (7 papers)Peer-to-Peer Network Technologies (4 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- IEEE AccessIEEE Journal on Selected Areas in CommunicationsMultimedia Tools and Applications
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Hongbo Wang
24 papers receiving 355 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 170
- Information Systems 162
- Computer Vision and Pattern Recognition 121
- Artificial Intelligence 69
- Media Technology 41
Countries citing papers authored by Hongbo Wang
This map shows the geographic impact of Hongbo 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 Hongbo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongbo Wang more than expected).
Fields of papers citing papers by Hongbo Wang
This network shows the impact of papers produced by Hongbo 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 Hongbo Wang. The network helps show where Hongbo Wang may publish in the future.
Co-authorship network of co-authors of Hongbo Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Hongbo Wang. A scholar is included among the top collaborators of Hongbo 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 Hongbo Wang. Hongbo 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 28 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 48 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 102 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 19 | |
| 20 | 4 |
About Hongbo Wang
Hongbo Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 376 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (8 papers), Cloud Computing and Resource Management (7 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (170 citations), Information Systems (162 citations) and Computer Vision and Pattern Recognition (121 citations). Hongbo Wang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Shiduan Cheng, Shiduan Cheng, Peng Zhang, Xing Jin, Xinyu Zhang, Xiaoyu Li, Tao Jing, Huawei Yang, Xinyu Wang and Tan Yang. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Multimedia Tools and Applications.
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.