Zenan Ling
Impact in
- Control and Systems Engineering top 10%
- Smart Grid Security and Resilience
Papers in
-
- Anomaly Detection Techniques and Applications 5
- Adversarial Robustness in Machine Learning 2
-
- Power System Optimization and Stability 5
- Co-authors
- Robert C. Qiu (17 shared papers)Xing He (11 shared papers)Lei Chu (7 shared papers)Qian Ai (5 shared papers)Yuhang Zhang (1 shared paper)Haichun Liu (1 shared paper)Dongxia Zhang (1 shared paper)Haosen Yang (4 shared papers)
- Journals
- IEEE Access (3 papers)IEEE Transactions on Big Data (2 papers)IEEE Transactions on Power Systems (2 papers)International Journal of Electrical Power & Energy Systems (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zenan Ling
17 papers receiving 330 citations
Peers
Comparison fields: 5 of 61
- Computational Mathematics 7
- Control and Systems Engineering 101
- Safety, Risk, Reliability and Quality 34
- Computer Vision and Pattern Recognition 66
- Energy Engineering and Power Technology 9
Countries citing papers authored by Zenan Ling
This map shows the geographic impact of Zenan Ling'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 Zenan Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zenan Ling more than expected).
Fields of papers citing papers by Zenan Ling
This network shows the impact of papers produced by Zenan Ling. 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 Zenan Ling. The network helps show where Zenan Ling may publish in the future.
Co-authors
The 24 scholars most cited alongside Zenan Ling, 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 | 2019 | 64 | |
| 2 | 2018 | 47 | |
| 3 | 2016 | 47 | |
| 4 | 2019 | 46 | |
| 5 | 2017 | 30 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 17 | |
| 9 | 2022 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2019 | 3 | |
| 15 | Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach | 2018 | 2 |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Zenan Ling
Zenan Ling is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 19 papers that have together received 344 indexed citations. Recurring topics across this work include Power System Optimization and Stability (5 papers), Anomaly Detection Techniques and Applications (5 papers), Complex Network Analysis Techniques (3 papers), Smart Grid Security and Resilience (2 papers), Theoretical and Computational Physics (2 papers), Adversarial Robustness in Machine Learning (2 papers), Power Systems Fault Detection (2 papers) and Random Matrices and Applications (2 papers). The work is most often cited by research in Computational Mathematics (7 citations), Control and Systems Engineering (101 citations), Safety, Risk, Reliability and Quality (34 citations), Computer Vision and Pattern Recognition (66 citations) and Energy Engineering and Power Technology (9 citations). Zenan Ling has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Robert C. Qiu, Xing He, Lei Chu, Qian Ai, Yuhang Zhang, Haichun Liu, Dongxia Zhang, Haosen Yang, Jian Zhang and Xinyi Xu. Their work appears in journals such as IEEE Access, IEEE Transactions on Big Data, IEEE Transactions on Power Systems, International Journal of Electrical Power & Energy Systems and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.