Qunwei Li
Impact in
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- Cognitive Radio Networks and Spectrum Sensing
- Distributed Sensor Networks and Detection Algorithms
Papers in
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- Privacy-Preserving Technologies in Data 5
- Advanced Graph Neural Networks 5
- Stochastic Gradient Optimization Techniques 4
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- Distributed Sensor Networks and Detection Algorithms 8
- Co-authors
- Zan Li (3 shared papers)Jiangbo Si (2 shared papers)Julian Cheng (1 shared paper)Fuhui Zhou (1 shared paper)Tan Xu (30 shared papers)Jiang He (29 shared papers)Yanbo Peng (28 shared papers)Chongke Zhong (27 shared papers)
- Journals
- Atherosclerosis (6 papers)IEEE Transactions on Signal Processing (5 papers)Stroke (4 papers)Current Neurovascular Research (2 papers)Neurology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qunwei Li
64 papers receiving 997 citations
Peers
Comparison fields: 5 of 120
- Neurology 56
- Computer Networks and Communications 162
- Immunology 93
- Nephrology 28
- Electrical and Electronic Engineering 250
Countries citing papers authored by Qunwei Li
This map shows the geographic impact of Qunwei Li'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 Qunwei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qunwei Li more than expected).
Fields of papers citing papers by Qunwei Li
This network shows the impact of papers produced by Qunwei Li. 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 Qunwei Li. The network helps show where Qunwei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qunwei Li, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 199 | |
| 2 | 2016 | 39 | |
| 3 | 2019 | 38 | |
| 4 | 2018 | 37 | |
| 5 | 2020 | 35 | |
| 6 | 2017 | 33 | |
| 7 | 2019 | 31 | |
| 8 | 2013 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2019 | 27 | |
| 11 | 2018 | 25 | |
| 12 | 2017 | 24 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2018 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2017 | 16 |
About Qunwei Li
Qunwei Li is a scholar working on Artificial Intelligence, Computer Networks and Communications, Epidemiology, Immunology and Molecular Biology, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (8 papers), Acute Ischemic Stroke Management (6 papers), Privacy-Preserving Technologies in Data (5 papers), Advanced Graph Neural Networks (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Stochastic Gradient Optimization Techniques (4 papers), Galectins and Cancer Biology (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Neurology (56 citations), Computer Networks and Communications (162 citations), Immunology (93 citations), Nephrology (28 citations) and Electrical and Electronic Engineering (250 citations). Qunwei Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zan Li, Jiangbo Si, Julian Cheng, Fuhui Zhou, Tan Xu, Jiang He, Yanbo Peng, Chongke Zhong, Deqin Geng and Pramod K. Varshney. Their work appears in journals such as Atherosclerosis, IEEE Transactions on Signal Processing, Stroke, Current Neurovascular Research and Neurology.
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.