Qi Li
Impact in
- Signal Processing top 0.2%
- Advanced Malware Detection Techniques
- Computer Networks and Communications top 0.5%
- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
Papers in
-
- Advanced Malware Detection Techniques 62
-
- Network Security and Intrusion Detection 100
- Software-Defined Networks and 5G 57
- Journals
- IEEE Transactions on Dependable and Secure Computing (22 papers)IEEE/ACM Transactions on Networking (20 papers)IEEE Transactions on Information Forensics and Security (15 papers)IEEE Transactions on Network and Service Management (5 papers)IEEE Transactions on Mobile Computing (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qi Li
347 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 130
- Signal Processing 1.7k
- Computer Networks and Communications 2.6k
- Artificial Intelligence 3.0k
- Information Systems 1.8k
- Computer Science Applications 204
Countries citing papers authored by Qi Li
This map shows the geographic impact of Qi 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 Qi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Li more than expected).
Fields of papers citing papers by Qi Li
This network shows the impact of papers produced by Qi 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 Qi Li. The network helps show where Qi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 23 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 6 | |
| 15 | 2019 | 3 | |
| 16 | 2018 | 145 | |
| 17 | Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method. | 2018 | 1 |
| 18 | 2018 | 17 | |
| 19 | 2018 | 34 | |
| 20 | 2017 | 7 |
About Qi Li
Qi Li is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Software and Information Systems, having authored 381 papers that have together received 5.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (100 papers), Internet Traffic Analysis and Secure E-voting (67 papers), Advanced Malware Detection Techniques (62 papers), Software-Defined Networks and 5G (57 papers), Privacy-Preserving Technologies in Data (55 papers), Cryptography and Data Security (50 papers), Adversarial Robustness in Machine Learning (32 papers) and Blockchain Technology Applications and Security (23 papers). The work is most often cited by research in Signal Processing (1.7k citations), Computer Networks and Communications (2.6k citations), Artificial Intelligence (3.0k citations), Information Systems (1.8k citations) and Computer Science Applications (204 citations). Qi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ke Xu, Qian Wang, Mingwei Xu, Meng Shen, Fabian Monrose, Michael K. Reiter, Kui Ren, Chuanpu Fu, Susanne Wetzel and Cong Wang. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE/ACM Transactions on Networking, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Network and Service Management and IEEE Transactions on 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.