Wenjiang Ji
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Network Security and Intrusion Detection 14
- IoT and Edge/Fog Computing 6
- Advanced Authentication Protocols Security 4
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- Internet Traffic Analysis and Secure E-voting 10
- Cryptography and Data Security 9
- Co-authors
- Xinhong Hei (41 shared papers)Yichuan Wang (29 shared papers)Guo Xie (10 shared papers)Rong Fei (4 shared papers)Yanxiao Liu (4 shared papers)Ching‐Nung Yang (1 shared paper)Lei Zhu (9 shared papers)Yichuan Wang (6 shared papers)
In The Last Decade
Wenjiang Ji
44 papers receiving 451 citations
Peers
Comparison fields: 5 of 85
- Computer Networks and Communications 152
- Automotive Engineering 63
- Artificial Intelligence 163
- Signal Processing 54
- Information Systems 99
Countries citing papers authored by Wenjiang Ji
This map shows the geographic impact of Wenjiang Ji'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 Wenjiang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjiang Ji more than expected).
Fields of papers citing papers by Wenjiang Ji
This network shows the impact of papers produced by Wenjiang Ji. 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 Wenjiang Ji. The network helps show where Wenjiang Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjiang Ji, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2018 | 49 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 18 | |
| 5 | 2018 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2016 | 14 | |
| 8 | 2021 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2011 | 5 |
About Wenjiang Ji
Wenjiang Ji is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Automotive Engineering and Electrical and Electronic Engineering, having authored 55 papers that have together received 472 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Internet Traffic Analysis and Secure E-voting (10 papers), Cryptography and Data Security (9 papers), Autonomous Vehicle Technology and Safety (6 papers), IoT and Edge/Fog Computing (6 papers), Traffic Prediction and Management Techniques (6 papers), Railway Engineering and Dynamics (5 papers) and Advanced Authentication Protocols Security (4 papers). The work is most often cited by research in Computer Networks and Communications (152 citations), Automotive Engineering (63 citations), Artificial Intelligence (163 citations), Signal Processing (54 citations) and Information Systems (99 citations). Wenjiang Ji has collaborated with scholars based in China and Taiwan. Frequent co-authors include Xinhong Hei, Yichuan Wang, Guo Xie, Rong Fei, Yanxiao Liu, Ching‐Nung Yang, Lei Zhu, Yichuan Wang, Jianfeng Ma and Haining Meng. Their work appears in journals such as Accident Analysis & Prevention, Journal of Intelligent & Fuzzy Systems, Journal of Communications and Information Networks, Science China Information Sciences and Information Sciences.
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.