Meng Li
Impact in
- Automotive Engineering top 1%
- Advanced Battery Technologies Research
- Information Systems top 0.5%
- Blockchain Technology Applications and Security
Papers in
-
- Privacy-Preserving Technologies in Data 37
- Cryptography and Data Security 31
- Internet Traffic Analysis and Secure E-voting 22
- Co-authors
- Liehuang ZhuZijian ZhangChao HuDonghui HuMohammadkazem SadoughiMauro ContiSheng ShenZhengdao Wang
- Journals
- IEEE Transactions on Dependable and Secure Computing (12 papers)IEEE Transactions on Information Forensics and Security (11 papers)IEEE Internet of Things Journal (10 papers)IEEE Access (7 papers)IEEE Transactions on Services Computing (4 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Meng Li
237 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Automotive Engineering 686
- Information Systems 841
- Artificial Intelligence 1.0k
- Acoustics and Ultrasonics 27
- Computer Networks and Communications 620
Countries citing papers authored by Meng Li
This map shows the geographic impact of Meng 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 Meng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Li more than expected).
Fields of papers citing papers by Meng Li
This network shows the impact of papers produced by Meng 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 Meng Li. The network helps show where Meng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng 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 | 8 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 16 | |
| 18 | 2021 | 48 | |
| 19 | 2018 | 14 | |
| 20 | 2013 | 12 |
About Meng Li
Meng Li is a scholar working on Artificial Intelligence, Automotive Engineering, Transportation, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 266 papers that have together received 3.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (37 papers), Cryptography and Data Security (31 papers), Blockchain Technology Applications and Security (26 papers), Internet Traffic Analysis and Secure E-voting (22 papers), Advanced Steganography and Watermarking Techniques (13 papers), Vehicular Ad Hoc Networks (VANETs) (12 papers), Transportation Planning and Optimization (11 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Automotive Engineering (686 citations), Information Systems (841 citations), Artificial Intelligence (1.0k citations), Acoustics and Ultrasonics (27 citations) and Computer Networks and Communications (620 citations). Meng Li has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Liehuang Zhu, Zijian Zhang, Chao Hu, Donghui Hu, Mohammadkazem Sadoughi, Mauro Conti, Sheng Shen, Zhengdao Wang, Xiaodong Lin and Chhagan Lal. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, IEEE Internet of Things Journal, IEEE Access and IEEE Transactions on Services 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.