Lujun Fang
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Semantic Web and Ontologies
- Internet Traffic Analysis and Secure E-voting
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- Complex Network Analysis Techniques
Papers in
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- Semantic Web and Ontologies 2
- Privacy-Preserving Technologies in Data 2
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- Peer-to-Peer Network Technologies 2
- Co-authors
- Kristen LeFevre (4 shared papers)Cong Yu (2 shared papers)Anish Das Sarma (2 shared papers)Zheng Chen (1 shared paper)Yang Cao (1 shared paper)Qiang Yang (1 shared paper)Hua-Jun Zeng (1 shared paper)Jian Hu (1 shared paper)
- Journals
- Applied Sciences (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)The European Physical Journal B (1 paper)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Lujun Fang
12 papers receiving 613 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 406
- Statistical and Nonlinear Physics 116
- Information Systems 205
- Management Science and Operations Research 95
- Computer Science Applications 39
Countries citing papers authored by Lujun Fang
This map shows the geographic impact of Lujun Fang'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 Lujun Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lujun Fang more than expected).
Fields of papers citing papers by Lujun Fang
This network shows the impact of papers produced by Lujun Fang. 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 Lujun Fang. The network helps show where Lujun Fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lujun Fang, 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 | 2010 | 269 | |
| 2 | 2008 | 122 | |
| 3 | 2012 | 105 | |
| 4 | 2011 | 54 | |
| 5 | 2008 | 43 | |
| 6 | 2007 | 20 | |
| 7 | 2010 | 17 | |
| 8 | 2008 | 16 | |
| 9 | 2012 | 8 | |
| 10 | 2022 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2010 | 1 | |
| 13 | Mechanisms of Controlled Sharing for Social Networking Users. | 2013 | 0 |
| 14 | 2021 | 0 | |
| 15 | 2023 | 0 |
About Lujun Fang
Lujun Fang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 15 papers that have together received 658 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (3 papers), Peer-to-Peer Network Technologies (2 papers), Theoretical and Computational Physics (2 papers), Privacy, Security, and Data Protection (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Semantic Web and Ontologies (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Artificial Intelligence (406 citations), Statistical and Nonlinear Physics (116 citations), Information Systems (205 citations), Management Science and Operations Research (95 citations) and Computer Science Applications (39 citations). Lujun Fang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Kristen LeFevre, Cong Yu, Anish Das Sarma, Zheng Chen, Yang Cao, Qiang Yang, Hua-Jun Zeng, Jian Hu, Jihong Guan and Zhongzhi Zhang. Their work appears in journals such as Applied Sciences, IEEE Transactions on Instrumentation and Measurement, Physica A Statistical Mechanics and its Applications, The European Physical Journal B and Proceedings of the VLDB Endowment.
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.