Ming Yang
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in ⓘ
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- Advanced Malware Detection Techniques 21
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- Network Security and Intrusion Detection 28
- Wireless Networks and Protocols 14
- Mobile Ad Hoc Networks 13
- Cooperative Communication and Network Coding 10
- Co-authors
- Junzhou Luo (53 shared papers)Wenjia Wu (35 shared papers)Zhen Ling (31 shared papers)Nikolaos Bourbakis (5 shared papers)Shujun Li (1 shared paper)Kai Dong (6 shared papers)Xiaogang Wang (7 shared papers)Xinwen Fu (8 shared papers)
- Journals
- Computer Networks (4 papers)Information Sciences (2 papers)Computer Communications (2 papers)Sensors (2 papers)Tsinghua Science & Technology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Yang
101 papers receiving 822 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 206
- Computer Networks and Communications 379
- Artificial Intelligence 406
- Computer Vision and Pattern Recognition 227
- Information Systems 172
Countries citing papers authored by Ming Yang
This map shows the geographic impact of Ming Yang'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 Ming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yang more than expected).
Fields of papers citing papers by Ming Yang
This network shows the impact of papers produced by Ming Yang. 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 Ming Yang. The network helps show where Ming Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yang, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 78 | |
| 2 | 2021 | 59 | |
| 3 | 2012 | 37 | |
| 4 | 2019 | 32 | |
| 5 | 2016 | 29 | |
| 6 | 2017 | 26 | |
| 7 | 2015 | 26 | |
| 8 | 2014 | 24 | |
| 9 | 2020 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2018 | 19 | |
| 12 | 2012 | 18 | |
| 13 | 2009 | 18 | |
| 14 | 2014 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2018 | 14 | |
| 17 | 2010 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2014 | 14 |
About Ming Yang
Ming Yang is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, General Engineering and Information Systems, having authored 108 papers that have together received 861 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (35 papers), Network Security and Intrusion Detection (28 papers), Advanced Malware Detection Techniques (21 papers), Wireless Networks and Protocols (14 papers), Mobile Ad Hoc Networks (13 papers), Cooperative Communication and Network Coding (10 papers), User Authentication and Security Systems (8 papers) and Wireless Signal Modulation Classification (7 papers). The work is most often cited by research in Signal Processing (206 citations), Computer Networks and Communications (379 citations), Artificial Intelligence (406 citations), Computer Vision and Pattern Recognition (227 citations) and Information Systems (172 citations). Ming Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junzhou Luo, Wenjia Wu, Zhen Ling, Nikolaos Bourbakis, Shujun Li, Kai Dong, Xiaogang Wang, Xinwen Fu, Tongxin Zhu and Fan Hu. Their work appears in journals such as Computer Networks, Information Sciences, Computer Communications, Sensors and Tsinghua Science & Technology.
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.