Zhang Fan
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Control and Systems Engineering
- Co-authors
- Huansheng NingKim‐Kwang Raymond ChooFeifei ShiXu YangZhimin ZhangFadi FarhaJiabo XuQinghua Lu
- Topics
- Blockchain Technology Applications and Security (4 papers)Web Data Mining and Analysis (2 papers)Network Security and Intrusion Detection (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhang Fan
13 papers receiving 306 citations
Peers
Comparison fields: 5 of 69
- Information Systems 169
- Artificial Intelligence 130
- Computer Networks and Communications 110
- Signal Processing 48
- Control and Systems Engineering 27
Countries citing papers authored by Zhang Fan
This map shows the geographic impact of Zhang 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 Zhang Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhang Fan more than expected).
Fields of papers citing papers by Zhang Fan
This network shows the impact of papers produced by Zhang 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 Zhang Fan. The network helps show where Zhang Fan may publish in the future.
Co-authorship network of co-authors of Zhang Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Zhang Fan. A scholar is included among the top collaborators of Zhang 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 Zhang Fan. Zhang 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 | 156 | |
| 2 | 67 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts | 1 |
| 6 | 0 | |
| 7 | 44 | |
| 8 | A Cyberspace Attack and Defense Model with Security Performance Analysis Based on Automata Theory | 1 |
| 9 | 1 | |
| 10 | 16 | |
| 11 | Study on Deficiencies and Countermeasures of Farmers' Information Literacy under the background of New Countryside Construction | 0 |
| 12 | Knowledge management in undergraduates | 0 |
| 13 | 3 | |
| 14 | 32 | |
| 15 | Relevance Theory and Translation | 0 |
| 16 | 1 | |
| 17 | Application of fuzzy comprebensive appraisal in grounderwater quality evaluation of Daan city | 1 |
| 18 | Research on the Information Reorganization | 0 |
About Zhang Fan
Zhang Fan is a scholar working on Information Systems, Signal Processing and Safety, Risk, Reliability and Quality, having authored 18 papers that have together received 332 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), Web Data Mining and Analysis (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Information Systems (169 citations), Health Informatics (9 citations) and Computer Networks and Communications (110 citations). Zhang Fan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huansheng Ning, Kim‐Kwang Raymond Choo, Feifei Shi, Xu Yang, Zhimin Zhang, Fadi Farha, Jiabo Xu, Qinghua Lu, Yueliang Wan and Mohammed Amine Bouras. Their work appears in journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering and Artificial Intelligence Review.
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.