Tianjun Fu
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
- Web Data Mining and Analysis
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
-
- Spam and Phishing Detection 6
- Web Data Mining and Analysis 4
-
- Text and Document Classification Technologies 3
- Authorship Attribution and Profiling 3
- Advanced Text Analysis Techniques 2
- Sentiment Analysis and Opinion Mining 2
- Topic Modeling 2
- Co-authors
- Ahmed Abbasi (5 shared papers)Hsinchun Chen (5 shared papers)Hsinchun Chen (2 shared papers)Chun-Neng Huang (2 shared papers)Daniel Zeng (2 shared papers)Hsinchun Chen (1 shared paper)Donald Adjeroh (1 shared paper)David Zimbra (1 shared paper)
- Journals
- Journal of the Association for Information Systems (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Journal of the American Society for Information Science and Technology (3 papers)
- Partner nations
- United StatesChina
In The Last Decade
Tianjun Fu
11 papers receiving 296 citations
Peers
Comparison fields: 5 of 49
- Information Systems 151
- Artificial Intelligence 155
- Statistical and Nonlinear Physics 53
- Signal Processing 45
- Communication 26
Countries citing papers authored by Tianjun Fu
This map shows the geographic impact of Tianjun Fu'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 Tianjun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianjun Fu more than expected).
Fields of papers citing papers by Tianjun Fu
This network shows the impact of papers produced by Tianjun Fu. 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 Tianjun Fu. The network helps show where Tianjun Fu may publish in the future.
Co-authors
The 11 scholars most cited alongside Tianjun Fu, 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 | 2008 | 93 | |
| 2 | 2010 | 64 | |
| 3 | 2010 | 40 | |
| 4 | 2012 | 39 | |
| 5 | 2008 | 23 | |
| 6 | 2013 | 17 | |
| 7 | 2008 | 15 | |
| 8 | ASSESSING PUBLIC OPINIONS THROUGH WEB 2.0: A CASE STUDY ON WAL-MART | 2009 | 9 |
| 9 | 2009 | 9 | |
| 10 | 2008 | 8 | |
| 11 | 2007 | 3 |
About Tianjun Fu
Tianjun Fu is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Communication, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Web Data Mining and Analysis (4 papers), Text and Document Classification Technologies (3 papers), Authorship Attribution and Profiling (3 papers), Advanced Text Analysis Techniques (2 papers), Complex Network Analysis Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Information Systems (151 citations), Artificial Intelligence (155 citations), Statistical and Nonlinear Physics (53 citations), Signal Processing (45 citations) and Communication (26 citations). Tianjun Fu has collaborated with scholars based in United States and China. Frequent co-authors include Ahmed Abbasi, Hsinchun Chen, Hsinchun Chen, Chun-Neng Huang, Daniel Zeng, Hsinchun Chen, Hsinchun Chen, Donald Adjeroh, David Zimbra and Xin Li. Their work appears in journals such as Journal of the Association for Information Systems, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering and Journal of the American Society for Information Science and Technology.
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.