Zhen Ling
- Signal Processing top 1%
- Advanced Malware Detection Techniques 44
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- Network Security and Intrusion Detection 43
- IoT and Edge/Fog Computing 10
- Artificial Intelligence top 2%
- Internet Traffic Analysis and Secure E-voting 48
- Security and Verification in Computing 7
- Information Systems top 2%
- User Authentication and Security Systems 20
- Spam and Phishing Detection 7
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- Face and Expression Recognition 12
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhen Ling
133 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Signal Processing 552
- Computer Networks and Communications 761
- Artificial Intelligence 778
- Information Systems 453
- Computer Vision and Pattern Recognition 287
Countries citing papers authored by Zhen Ling
This map shows the geographic impact of Zhen Ling'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 Zhen Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Ling more than expected).
Fields of papers citing papers by Zhen Ling
This network shows the impact of papers produced by Zhen Ling. 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 Zhen Ling. The network helps show where Zhen Ling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhen Ling, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2021 | 9 | |
| 14 | APSON: Anonymous and Private SOcial Network | 2017 | 1 |
| 15 | 2014 | 27 | |
| 16 | How Privacy Leaks From Bluetooth Mouse | 2013 | 1 |
| 17 | Long PN Code Based Traceback in Wireless Networks | 2012 | 3 |
| 18 | The comparative study of diagnostic value of PET/CT and other imaging methods on pancreatic carcinoma | 2006 | 1 |
| 19 | 2002 | 2 | |
| 20 | Multi-scale Analysis of Chaotic Characteristics in a Gas-Solid Fluidized Bed | 2002 | 2 |
About Zhen Ling
Zhen Ling is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computational Mathematics and Information Systems, having authored 143 papers that have together received 1.6k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (48 papers), Advanced Malware Detection Techniques (44 papers), Network Security and Intrusion Detection (43 papers), User Authentication and Security Systems (20 papers), Face and Expression Recognition (12 papers), IoT and Edge/Fog Computing (10 papers), Spam and Phishing Detection (7 papers) and Security and Verification in Computing (7 papers). The work is most often cited by research in Signal Processing (552 citations), Computer Networks and Communications (761 citations), Artificial Intelligence (778 citations), Information Systems (453 citations) and Computer Vision and Pattern Recognition (287 citations). Zhen Ling has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xinwen Fu, Junzhou Luo, Wei Yu, Kui Wu, Ming Yang, Yiling Xu, Weijia Jia, Xuan Dong, Ezzatollah Salari and Chao Gao. Their work appears in journals such as IEEE Internet of Things Journal, Sensors, Computer Networks, Future Generation Computer Systems and Wireless Communications and Mobile Computing.
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.