Long Li
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Privacy-Preserving Technologies in Data 15
- Cryptography and Data Security 5
- Internet Traffic Analysis and Secure E-voting 5
- Advanced Graph Neural Networks 4
- Co-authors
- Tingwen Huang (1 shared paper)Han‐Xiong Li (1 shared paper)Yong Wang (1 shared paper)Liang Chang (14 shared papers)Tianlong Gu (5 shared papers)Yining Liu (4 shared papers)Xin Luo (1 shared paper)Anil Gurung (1 shared paper)
- Journals
- IEEE Access (4 papers)Wireless Communications and Mobile Computing (3 papers)Membranes (2 papers)Frontiers of Computer Science (2 papers)Pattern Recognition (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Long Li
91 papers receiving 862 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 428
- Computational Theory and Mathematics 179
- Information Systems 161
- Computer Networks and Communications 161
- Signal Processing 56
Countries citing papers authored by Long Li
This map shows the geographic impact of Long 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 Long Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Li more than expected).
Fields of papers citing papers by Long Li
This network shows the impact of papers produced by Long 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 Long Li. The network helps show where Long Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 259 | |
| 2 | 2021 | 46 | |
| 3 | 2016 | 45 | |
| 4 | 2009 | 41 | |
| 5 | 2017 | 40 | |
| 6 | 2010 | 32 | |
| 7 | 2021 | 29 | |
| 8 | 2023 | 25 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2021 | 16 | |
| 13 | An Overview of Typical Methods for Human Reliability Analysis | 2007 | 14 |
| 14 | 2022 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2021 | 10 | |
| 19 | Convergence of Online Gradient Method for Double Parallel Feedforward Neural Network | 2011 | 9 |
| 20 | 2024 | 8 |
About Long Li
Long Li 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 97 papers that have together received 895 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (15 papers), Cryptography and Data Security (5 papers), Advanced MIMO Systems Optimization (5 papers), Privacy, Security, and Data Protection (5 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Artificial Intelligence (428 citations), Computational Theory and Mathematics (179 citations), Information Systems (161 citations), Computer Networks and Communications (161 citations) and Signal Processing (56 citations). Long Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tingwen Huang, Han‐Xiong Li, Yong Wang, Liang Chang, Tianlong Gu, Yining Liu, Xin Luo, Anil Gurung, Qinyu Liao and Xiaoli Chu. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, Membranes, Frontiers of Computer Science and Pattern Recognition.
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.