Benchao Wang
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
-
- Advanced MIMO Systems Optimization 4
- Advanced Wireless Communication Technologies 2
- Full-Duplex Wireless Communications 2
- Advanced Wireless Network Optimization 2
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- Cooperative Communication and Network Coding 5
- Co-authors
- Hongxia Xia (2 shared papers)Tangxi Guo (2 shared papers)Weize Yang (2 shared papers)Wei Zhou (1 shared paper)Xiaojie Yan (1 shared paper)Xiaomin Luo (1 shared paper)Jun Xiong (1 shared paper)Lu Ye (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)Wireless Networks (1 paper)China Communications (1 paper)IEEE Access (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Benchao Wang
10 papers receiving 365 citations
Benchao Wang's Hit Papers
Peers
Comparison fields: 5 of 56
- Infectious Diseases 184
- Neurology 71
- Critical Care and Intensive Care Medicine 13
- Computer Networks and Communications 59
- Oncology 43
Countries citing papers authored by Benchao Wang
This map shows the geographic impact of Benchao 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 Benchao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benchao Wang more than expected).
Fields of papers citing papers by Benchao Wang
This network shows the impact of papers produced by Benchao 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 Benchao Wang. The network helps show where Benchao Wang may publish in the future.
Co-authors
The 24 scholars most cited alongside Benchao 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
| # | Work | ||
|---|---|---|---|
| 1 | Prognostic Value of C-Reactive Protein in Patients With Coronavirus 2019 Hit paper breakdown → | 2020 | 291 |
| 2 | 2017 | 25 | |
| 3 | 2016 | 24 | |
| 4 | 2016 | 24 | |
| 5 | 2020 | 7 | |
| 6 | 2011 | 3 | |
| 7 | 2018 | 2 | |
| 8 | 2011 | 2 | |
| 9 | 2017 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2017 | 0 | |
| 13 | 2015 | 0 |
About Benchao Wang
Benchao Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Infectious Diseases and Neurology, having authored 13 papers that have together received 380 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (5 papers), Advanced MIMO Systems Optimization (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and ELM (3 papers), Advanced Wireless Communication Technologies (2 papers), Neural Networks and Applications (2 papers), Full-Duplex Wireless Communications (2 papers) and Advanced Wireless Network Optimization (2 papers). The work is most often cited by research in Infectious Diseases (184 citations), Neurology (71 citations), Critical Care and Intensive Care Medicine (13 citations), Computer Networks and Communications (59 citations) and Oncology (43 citations). Benchao Wang has collaborated with scholars based in China and United States. Frequent co-authors include Hongxia Xia, Tangxi Guo, Weize Yang, Wei Zhou, Xiaojie Yan, Xiaomin Luo, Jun Xiong, Lu Ye, Bicheng Zhang and Yu Liu. Their work appears in journals such as Clinical Infectious Diseases, Wireless Networks, China Communications, IEEE Access and IEEE Internet of Things Journal.
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.