Lei Pan
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
- Software top 2%
- Software Reliability and Analysis Research
Papers in
-
- Quantum Information and Cryptography 16
- Quantum Computing Algorithms and Architecture 16
-
- Network Security and Intrusion Detection 40
- Mobile Ad Hoc Networks 15
- Co-authors
- Jun Zhang (23 shared papers)Yang Xiang (34 shared papers)Josef Pieprzyk (15 shared papers)Hong Lai (15 shared papers)Mehmet A. Orgun (9 shared papers)Fuyuan Xiao (1 shared paper)Wei Luo (13 shared papers)Qing‐Long Han (5 shared papers)
In The Last Decade
Lei Pan
210 papers receiving 3.7k citations
Lei Pan's Hit Papers
Peers
Comparison fields: 5 of 195
- Signal Processing 1.0k
- Software 353
- Computer Networks and Communications 1.2k
- Information Systems 1.1k
- Artificial Intelligence 961
Countries citing papers authored by Lei Pan
This map shows the geographic impact of Lei Pan'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 Lei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Pan more than expected).
Fields of papers citing papers by Lei Pan
This network shows the impact of papers produced by Lei Pan. 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 Lei Pan. The network helps show where Lei Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Pan, 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 233 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hybrid threshold adaptable quantum secret sharing scheme with reverse Huffman-Fibonacci-tree coding Hit paper breakdown → | 2016 | 780 |
| 2 | Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey Hit paper breakdown → | 2021 | 301 |
| 3 | A Survey of Android Malware Detection with Deep Neural Models Hit paper breakdown → | 2020 | 228 |
| 4 | 2018 | 163 | |
| 5 | 2017 | 101 | |
| 6 | 2019 | 92 | |
| 7 | 2019 | 91 | |
| 8 | 2021 | 82 | |
| 9 | 2017 | 62 | |
| 10 | 2009 | 59 | |
| 11 | 2018 | 55 | |
| 12 | 2020 | 54 | |
| 13 | 2023 | 54 | |
| 14 | 2021 | 43 | |
| 15 | 2024 | 41 | |
| 16 | 2022 | 39 | |
| 17 | 2017 | 39 | |
| 18 | 2020 | 37 | |
| 19 | 2019 | 37 | |
| 20 | 2022 | 35 |
About Lei Pan
Lei Pan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 233 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (56 papers), Network Security and Intrusion Detection (40 papers), Digital and Cyber Forensics (23 papers), Vehicular Ad Hoc Networks (VANETs) (18 papers), Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (16 papers), Mobile Ad Hoc Networks (15 papers) and Digital Media Forensic Detection (14 papers). The work is most often cited by research in Signal Processing (1.0k citations), Software (353 citations), Computer Networks and Communications (1.2k citations), Information Systems (1.1k citations) and Artificial Intelligence (961 citations). Lei Pan has collaborated with scholars based in Australia, China and India. Frequent co-authors include Jun Zhang, Yang Xiang, Josef Pieprzyk, Hong Lai, Mehmet A. Orgun, Fuyuan Xiao, Wei Luo, Qing‐Long Han, Robin Doss and Guanjun Lin. Their work appears in journals such as IEEE Access, Quantum Information Processing, Optical Materials, Computers & Security and Journal of Luminescence.
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.