Jun Yan
Impact in
- Control and Systems Engineering top 0.2%
- Smart Grid Security and Resilience
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Microgrid Control and Optimization
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- Network Security and Intrusion Detection
Papers in
-
- Smart Grid Security and Resilience 47
- Microgrid Control and Optimization 13
Jun Yan
127 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Control and Systems Engineering 2.6k
- Computer Networks and Communications 936
- Energy Engineering and Power Technology 126
- Electrical and Electronic Engineering 1.9k
- Safety, Risk, Reliability and Quality 300
Countries citing papers authored by Jun Yan
This map shows the geographic impact of Jun Yan'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 Jun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yan more than expected).
Fields of papers citing papers by Jun Yan
This network shows the impact of papers produced by Jun Yan. 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 Jun Yan. The network helps show where Jun Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yan, 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 | 2025 | 13 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 19 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 20 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 48 | |
| 13 | 2020 | 39 | |
| 14 | 2020 | 6 | |
| 15 | 2019 | 3 | |
| 16 | 2018 | 70 | |
| 17 | Extraction of cophasal axes on seismic sections based on the edge detection method | 2009 | 1 |
| 18 | Chaotic immune particle swarm optimization for multi-exponential fitting | 2009 | 2 |
| 19 | Energy Storage for Distributed Generation | 2006 | 6 |
| 20 | Calculation and Adjustment of Parameter Co-ordination for Field Test with Power Frequency Series Resonance Equipment | 2004 | 0 |
About Jun Yan
Jun Yan is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology, Computer Networks and Communications, Automotive Engineering and Electrical and Electronic Engineering, having authored 140 papers that have together received 4.2k indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (47 papers), Network Security and Intrusion Detection (31 papers), Smart Grid Energy Management (21 papers), Electric Vehicles and Infrastructure (16 papers), Microgrid Control and Optimization (13 papers), Optimal Power Flow Distribution (13 papers), Transportation and Mobility Innovations (10 papers) and Power System Optimization and Stability (9 papers). The work is most often cited by research in Control and Systems Engineering (2.6k citations), Computer Networks and Communications (936 citations), Energy Engineering and Power Technology (126 citations), Electrical and Electronic Engineering (1.9k citations) and Safety, Risk, Reliability and Quality (300 citations). Jun Yan has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Haibo He, Ping Xie, Guoqian Jiang, Haibo He, Yufei Tang, Yan Sun, Yihai Zhu, Leijiao Ge, Robert R. Bitmead and Jun Yang. Their work appears in journals such as Energies, IEEE Transactions on Smart Grid, IEEE Transactions on Information Forensics and Security, IEEE Access and IEEE Transactions on Power 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.