Yuede Ji
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
-
- Network Security and Intrusion Detection 13
- Software System Performance and Reliability 2
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- Advanced Graph Neural Networks 11
- Adversarial Robustness in Machine Learning 2
- Co-authors
- H. Howie Huang (11 shared papers)Qiang Li (9 shared papers)Dong Guo (6 shared papers)Benjamin Bowman (2 shared papers)Lei Cui (3 shared papers)Xinyang Jiang (2 shared papers)Jie Cao (1 shared paper)Yongsheng Hao (1 shared paper)
- Journals
- Knowledge-Based Systems (1 paper)ACM Transactions on Privacy and Security (1 paper)Computer Networks (1 paper)Computers & Security (1 paper)IEEE Transactions on Software Engineering (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Yuede Ji
26 papers receiving 325 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 150
- Computer Networks and Communications 178
- Information Systems 155
- Software 25
- Artificial Intelligence 164
Countries citing papers authored by Yuede Ji
This map shows the geographic impact of Yuede 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 Yuede Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuede Ji more than expected).
Fields of papers citing papers by Yuede Ji
This network shows the impact of papers produced by Yuede 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 Yuede Ji. The network helps show where Yuede Ji may publish in the future.
Co-authors
The 24 scholars most cited alongside Yuede 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 45 | |
| 2 | 2016 | 41 | |
| 3 | 2020 | 36 | |
| 4 | Detecting Lateral Movement in Enterprise Computer Networks with Unsupervised Graph {AI} | 2020 | 33 |
| 5 | 2021 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2019 | 16 | |
| 10 | 2022 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2014 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2024 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2017 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 3 |
About Yuede Ji
Yuede Ji is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 339 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Advanced Graph Neural Networks (11 papers), Graph Theory and Algorithms (10 papers), Advanced Malware Detection Techniques (10 papers), Spam and Phishing Detection (7 papers), Complex Network Analysis Techniques (4 papers), Software System Performance and Reliability (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Signal Processing (150 citations), Computer Networks and Communications (178 citations), Information Systems (155 citations), Software (25 citations) and Artificial Intelligence (164 citations). Yuede Ji has collaborated with scholars based in United States and China. Frequent co-authors include H. Howie Huang, Qiang Li, Dong Guo, Benjamin Bowman, Lei Cui, Xinyang Jiang, Jie Cao, Yongsheng Hao, Qi Wang and Hang Liu. Their work appears in journals such as Knowledge-Based Systems, ACM Transactions on Privacy and Security, Computer Networks, Computers & Security and IEEE Transactions on Software Engineering.
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.