Frank Jiang
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Information Systems top 2%
- Blockchain Technology Applications and Security
Papers in
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- Network Security and Intrusion Detection 25
- IoT and Edge/Fog Computing 15
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- Blockchain Technology Applications and Security 22
- Co-authors
- Robin Doss (27 shared papers)Xiao Liu (17 shared papers)Chengzu Dong (15 shared papers)Xuejun Li (10 shared papers)Aiting Yao (10 shared papers)Junxiu Liu (3 shared papers)Jiankun Hu (4 shared papers)Yuling Luo (2 shared papers)
- Journals
- IEEE Access (5 papers)Computers & Security (4 papers)Computer Networks (4 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)Drones (3 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Frank Jiang
118 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Computer Networks and Communications 500
- Information Systems 454
- Signal Processing 198
- Artificial Intelligence 439
- Computer Vision and Pattern Recognition 210
Countries citing papers authored by Frank Jiang
This map shows the geographic impact of Frank Jiang'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 Frank Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Jiang more than expected).
Fields of papers citing papers by Frank Jiang
This network shows the impact of papers produced by Frank Jiang. 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 Frank Jiang. The network helps show where Frank Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Jiang, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 123 | |
| 2 | 2019 | 115 | |
| 3 | 2019 | 74 | |
| 4 | 2023 | 54 | |
| 5 | 2017 | 51 | |
| 6 | 2020 | 39 | |
| 7 | 2023 | 36 | |
| 8 | 2023 | 35 | |
| 9 | 2020 | 34 | |
| 10 | 2021 | 31 | |
| 11 | 2021 | 30 | |
| 12 | 2018 | 29 | |
| 13 | 2012 | 28 | |
| 14 | 2013 | 27 | |
| 15 | 2022 | 27 | |
| 16 | 2019 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2023 | 24 | |
| 19 | 2025 | 22 | |
| 20 | 2015 | 22 |
About Frank Jiang
Frank Jiang is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 127 papers that have together received 1.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (25 papers), Blockchain Technology Applications and Security (22 papers), Advanced Malware Detection Techniques (18 papers), Vehicular Ad Hoc Networks (VANETs) (16 papers), Privacy-Preserving Technologies in Data (16 papers), IoT and Edge/Fog Computing (15 papers), UAV Applications and Optimization (13 papers) and Superconducting and THz Device Technology (9 papers). The work is most often cited by research in Computer Networks and Communications (500 citations), Information Systems (454 citations), Signal Processing (198 citations), Artificial Intelligence (439 citations) and Computer Vision and Pattern Recognition (210 citations). Frank Jiang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Robin Doss, Xiao Liu, Chengzu Dong, Xuejun Li, Aiting Yao, Junxiu Liu, Jiankun Hu, Yuling Luo, Yong Xiang and Xu Jia. Their work appears in journals such as IEEE Access, Computers & Security, Computer Networks, Computers, materials & continua/Computers, materials & continua (Print) and Drones.
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.