Zhong Fan
- Electrical and Electronic Engineering top 1%
- Computer Networks and Communications top 0.5%
- Control and Systems Engineering top 0.5%
- Industrial and Manufacturing Engineering top 0.5%
- Artificial Intelligence top 2%
- Co-authors
- Chris BarlowCharles DayWoon Hau ChinGöksel MısırlıJun CaoRussell HainesZiming ZhuSangarapillai Lambotharan
- Topics
- Smart Grid Energy Management (33 papers)Smart Grid Security and Resilience (23 papers)Cooperative Communication and Network Coding (22 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaJournal of Power SourcesApplied Energy
- Partner nations
- United KingdomJapanChina
In The Last Decade
Zhong Fan
135 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Electrical and Electronic Engineering 2.9k
- Computer Networks and Communications 1.6k
- Control and Systems Engineering 1.4k
- Industrial and Manufacturing Engineering 902
- Artificial Intelligence 764
Countries citing papers authored by Zhong Fan
This map shows the geographic impact of Zhong Fan'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 Zhong Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong Fan more than expected).
Fields of papers citing papers by Zhong Fan
This network shows the impact of papers produced by Zhong Fan. 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 Zhong Fan. The network helps show where Zhong Fan may publish in the future.
Co-authorship network of co-authors of Zhong Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Fan. A scholar is included among the top collaborators of Zhong Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhong Fan. Zhong Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | A Review of Privacy Preserving Federated Learning for Private IoT Analytics. | 10 |
| 6 | Anomaly Detection for IoT Time-Series Data: A Surveybreakdown → | 460 |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 57 | |
| 10 | 64 | |
| 11 | Multistage PMU Placement for Defending Against Malicious Data in State Estimation | 1 |
| 12 | Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES | 20 |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 14 | |
| 16 | 168 | |
| 17 | 96 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 3 |
About Zhong Fan
Zhong Fan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 140 papers that have together received 5.4k indexed citations. Recurring topics across this work include Smart Grid Energy Management (33 papers), Smart Grid Security and Resilience (23 papers) and Cooperative Communication and Network Coding (22 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (902 citations), Computer Networks and Communications (1.6k citations) and Control and Systems Engineering (1.4k citations). Zhong Fan has collaborated with scholars based in United Kingdom, Japan and China. Frequent co-authors include Chris Barlow, Charles Day, Woon Hau Chin, Göksel Mısırlı, Jun Cao, Russell Haines, Ziming Zhu, Sangarapillai Lambotharan, Georgios Kalogridis and Dritan Kaleshi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Applied Energy.
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.