Feixiang Li
Impact in
- Software top 10%
- Software Reliability and Analysis Research
-
- Recycling and Waste Management Techniques
Papers in
-
- IoT and Edge/Fog Computing 6
- Software-Defined Networks and 5G 4
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- Catalytic Processes in Materials Science 3
- Graphene research and applications 3
- Co-authors
- Zhihua Cui (10 shared papers)Wensheng Zhang (1 shared paper)Haipeng Yao (5 shared papers)Chunxiao Jiang (4 shared papers)Jun Du (3 shared papers)Xiaobin Xu (6 shared papers)Yi Qian (1 shared paper)Fei Xue (1 shared paper)
- Journals
- Particuology (3 papers)Electronics (2 papers)Applied Thermal Engineering (1 paper)Clinical EEG and Neuroscience (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feixiang Li
56 papers receiving 754 citations
Peers
Comparison fields: 5 of 120
- Software 39
- Industrial and Manufacturing Engineering 75
- Pollution 83
- Computer Networks and Communications 168
- Artificial Intelligence 137
Countries citing papers authored by Feixiang Li
This map shows the geographic impact of Feixiang 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 Feixiang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feixiang Li more than expected).
Fields of papers citing papers by Feixiang Li
This network shows the impact of papers produced by Feixiang 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 Feixiang Li. The network helps show where Feixiang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Feixiang 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 86 | |
| 2 | 2018 | 75 | |
| 3 | 2019 | 71 | |
| 4 | 2015 | 55 | |
| 5 | 2020 | 40 | |
| 6 | 2022 | 32 | |
| 7 | 2020 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2016 | 29 | |
| 10 | 2023 | 27 | |
| 11 | 2024 | 22 | |
| 12 | 2022 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2024 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2022 | 11 |
About Feixiang Li
Feixiang Li is a scholar working on Computer Networks and Communications, Materials Chemistry, Biomedical Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 765 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Thermochemical Biomass Conversion Processes (4 papers), Software-Defined Networks and 5G (4 papers), Catalytic Processes in Materials Science (3 papers), Evolutionary Algorithms and Applications (3 papers), Graphene research and applications (3 papers), Catalysis and Oxidation Reactions (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Software (39 citations), Industrial and Manufacturing Engineering (75 citations), Pollution (83 citations), Computer Networks and Communications (168 citations) and Artificial Intelligence (137 citations). Feixiang Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhihua Cui, Wensheng Zhang, Haipeng Yao, Chunxiao Jiang, Jun Du, Xiaobin Xu, Yi Qian, Fei Xue, Yang Cao and Li Zou. Their work appears in journals such as Particuology, Electronics, Applied Thermal Engineering, Clinical EEG and Neuroscience and International Journal of Machine Learning and Cybernetics.
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.