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
-
- Complex Network Analysis Techniques
Papers in
-
- Advancements in Battery Materials 3
- Advanced Battery Materials and Technologies 2
- Co-authors
- Kristen LeFevre (4 shared papers)Anish Das Sarma (2 shared papers)Cong Yu (2 shared papers)Jian Hu (1 shared paper)Hua-Jun Zeng (1 shared paper)Zheng Chen (1 shared paper)Yang Cao (1 shared paper)Qiang Yang (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (1 paper)Journal of Alloys and Compounds (1 paper)The European Physical Journal B (1 paper)Applied Sciences (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lujun Fang
15 papers receiving 688 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 407
- Statistical and Nonlinear Physics 116
- Information Systems 205
- Management Science and Operations Research 96
- Computer Science Applications 40
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 | 270 | |
| 2 | 2008 | 122 | |
| 3 | 2012 | 106 | |
| 4 | 2011 | 55 | |
| 5 | 2008 | 44 | |
| 6 | 2020 | 27 | |
| 7 | 2022 | 26 | |
| 8 | 2007 | 20 | |
| 9 | 2010 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2008 | 16 | |
| 12 | 2012 | 8 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2010 | 1 | |
| 16 | Mechanisms of Controlled Sharing for Social Networking Users. | 2013 | 0 |
| 17 | 2021 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 |
About Lujun Fang
Lujun Fang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics, having authored 19 papers that have together received 732 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Advancements in Battery Materials (3 papers), Opinion Dynamics and Social Influence (3 papers), Data Quality and Management (2 papers), Advanced Frequency and Time Standards (2 papers), Peer-to-Peer Network Technologies (2 papers), Advanced Battery Materials and Technologies (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Artificial Intelligence (407 citations), Statistical and Nonlinear Physics (116 citations), Information Systems (205 citations), Management Science and Operations Research (96 citations) and Computer Science Applications (40 citations). Lujun Fang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kristen LeFevre, Anish Das Sarma, Cong Yu, Jian Hu, Hua-Jun Zeng, Zheng Chen, Yang Cao, Qiang Yang, Zhipeng Sun and Jihong Guan. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Alloys and Compounds, The European Physical Journal B, Applied Sciences and Physica A Statistical Mechanics and its Applications.
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.