Fei Lang
Impact in
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- Network Security and Intrusion Detection
- Cognitive Radio Networks and Spectrum Sensing
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
- Anomaly Detection Techniques and Applications
Papers in
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- Natural Language Processing Techniques 2
- Internet Traffic Analysis and Secure E-voting 2
- Speech Recognition and Synthesis 2
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- Cooperative Communication and Network Coding 3
- Co-authors
- Guanglu Sun (7 shared papers)Jian Dai (1 shared paper)Zhichao Song (1 shared paper)Lili Liang (2 shared papers)Feng Xiao (1 shared paper)Baoyun Wang (4 shared papers)Fuhui Zhou (1 shared paper)Wei Wu (1 shared paper)
- Journals
- EURASIP Journal on Wireless Communications and Networking (1 paper)IEEE Wireless Communications Letters (1 paper)Future Generation Computer Systems (1 paper)Computers & Electrical Engineering (1 paper)Mobile Networks and Applications (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fei Lang
13 papers receiving 283 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 99
- Artificial Intelligence 107
- Signal Processing 34
- Computer Vision and Pattern Recognition 37
- Electrical and Electronic Engineering 77
Countries citing papers authored by Fei Lang
This map shows the geographic impact of Fei Lang'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 Fei Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Lang more than expected).
Fields of papers citing papers by Fei Lang
This network shows the impact of papers produced by Fei Lang. 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 Fei Lang. The network helps show where Fei Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Lang, 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 | 2018 | 95 | |
| 2 | 2021 | 77 | |
| 3 | 2018 | 64 | |
| 4 | 2021 | 15 | |
| 5 | 2018 | 14 | |
| 6 | 2017 | 10 | |
| 7 | 2016 | 8 | |
| 8 | 2008 | 3 | |
| 9 | 2008 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2018 | 0 | |
| 17 | 2014 | 0 |
About Fei Lang
Fei Lang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 292 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (3 papers), Wireless Communication Security Techniques (3 papers), Face and Expression Recognition (2 papers), Natural Language Processing Techniques (2 papers), Advanced Wireless Communication Technologies (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Remote-Sensing Image Classification (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Computer Networks and Communications (99 citations), Artificial Intelligence (107 citations), Signal Processing (34 citations), Computer Vision and Pattern Recognition (37 citations) and Electrical and Electronic Engineering (77 citations). Fei Lang has collaborated with scholars based in China and United States. Frequent co-authors include Guanglu Sun, Jian Dai, Zhichao Song, Lili Liang, Feng Xiao, Baoyun Wang, Fuhui Zhou, Wei Wu, Qihui Wu and Zi Wang. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, IEEE Wireless Communications Letters, Future Generation Computer Systems, Computers & Electrical Engineering and Mobile Networks 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.