Bo Cheng
Impact in
- Computer Networks and Communications top 0.5%
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Network Traffic and Congestion Control
- Information Systems top 0.5%
- Cloud Computing and Resource Management
Papers in
-
- IoT and Edge/Fog Computing 50
- Software-Defined Networks and 5G 42
- Caching and Content Delivery 27
-
- Cloud Computing and Resource Management 47
- Service-Oriented Architecture and Web Services 45
- Co-authors
- Junliang Chen (146 shared papers)Shuai Zhao (52 shared papers)Jiyan Wu (27 shared papers)Ming Wang (17 shared papers)Da Zhu (4 shared papers)Shangguang Wang (8 shared papers)Chau Yuen (10 shared papers)Yanlei Shang (12 shared papers)
In The Last Decade
Bo Cheng
293 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 178
- Computer Networks and Communications 2.0k
- Information Systems 1.1k
- Computational Mathematics 25
- Computer Vision and Pattern Recognition 860
- Signal Processing 340
Countries citing papers authored by Bo Cheng
This map shows the geographic impact of Bo Cheng'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 Bo Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Cheng more than expected).
Fields of papers citing papers by Bo Cheng
This network shows the impact of papers produced by Bo Cheng. 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 Bo Cheng. The network helps show where Bo Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Cheng, 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 321 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 228 | |
| 2 | 2016 | 195 | |
| 3 | 2016 | 126 | |
| 4 | 2014 | 107 | |
| 5 | 2015 | 104 | |
| 6 | 2013 | 99 | |
| 7 | 2022 | 98 | |
| 8 | 2016 | 98 | |
| 9 | 2011 | 94 | |
| 10 | 2016 | 92 | |
| 11 | 2014 | 72 | |
| 12 | 2016 | 54 | |
| 13 | 2017 | 53 | |
| 14 | 2016 | 51 | |
| 15 | 2016 | 51 | |
| 16 | 2019 | 48 | |
| 17 | 2021 | 45 | |
| 18 | 2021 | 44 | |
| 19 | 2017 | 43 | |
| 20 | 2017 | 43 |
About Bo Cheng
Bo Cheng is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 321 papers that have together received 4.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (50 papers), Cloud Computing and Resource Management (47 papers), Service-Oriented Architecture and Web Services (45 papers), Software-Defined Networks and 5G (42 papers), Caching and Content Delivery (27 papers), Advanced Wireless Network Optimization (17 papers), Image and Video Quality Assessment (17 papers) and Video Coding and Compression Technologies (16 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Information Systems (1.1k citations), Computational Mathematics (25 citations), Computer Vision and Pattern Recognition (860 citations) and Signal Processing (340 citations). Bo Cheng has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Junliang Chen, Shuai Zhao, Jiyan Wu, Ming Wang, Da Zhu, Shangguang Wang, Chau Yuen, Yanlei Shang, Meng Wang and Zhongyi Zhai. Their work appears in journals such as IEEE Transactions on Network and Service Management, IEEE Access, Sensors, China Communications and Neurocomputing.
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.