Zelun Kong
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 5
- Adversarial Robustness in Machine Learning 4
- Data Stream Mining Techniques 2
- Machine Learning and Data Classification 1
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- Integrated Circuits and Semiconductor Failure Analysis 2
- Co-authors
- Junfeng Guo (3 shared papers)Cong Liu (2 shared papers)Ang Li (1 shared paper)Yuqun Zhang (2 shared papers)Bei Yu (1 shared paper)Wei Li (1 shared paper)Husheng Zhou (1 shared paper)Cong Liu (1 shared paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Zelun Kong
8 papers receiving 311 citations
Peers
Comparison fields: 5 of 47
- Software 50
- Artificial Intelligence 235
- Signal Processing 77
- Computer Vision and Pattern Recognition 99
- Automotive Engineering 40
Countries citing papers authored by Zelun Kong
This map shows the geographic impact of Zelun Kong'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 Zelun Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zelun Kong more than expected).
Fields of papers citing papers by Zelun Kong
This network shows the impact of papers produced by Zelun Kong. 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 Zelun Kong. The network helps show where Zelun Kong may publish in the future.
Co-authors
The 24 scholars most cited alongside Zelun Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2020 | 96 | |
| 3 | 2021 | 70 | |
| 4 | 2019 | 33 | |
| 5 | 2019 | 6 | |
| 6 | 2018 | 6 | |
| 7 | Generating Adversarial Fragments with Adversarial Networks for Physical-world Implementation | 2019 | 4 |
| 8 | 2025 | 1 |
About Zelun Kong
Zelun Kong is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology and Civil and Structural Engineering, having authored 8 papers that have together received 315 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Adversarial Robustness in Machine Learning (4 papers), Data Stream Mining Techniques (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Water Systems and Optimization (1 paper), Machine Learning and Data Classification (1 paper), Real-Time Systems Scheduling (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Software (50 citations), Artificial Intelligence (235 citations), Signal Processing (77 citations), Computer Vision and Pattern Recognition (99 citations) and Automotive Engineering (40 citations). Zelun Kong has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Junfeng Guo, Cong Liu, Ang Li, Yuqun Zhang, Bei Yu, Wei Li, Husheng Zhou, Cong Liu, Taiping Yao and Bangjie Yin. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems.
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.