Tianjun Fu

466 total citations
11 papers, 320 citations indexed

About

Tianjun Fu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tianjun Fu has authored 11 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Tianjun Fu's work include Spam and Phishing Detection (6 papers), Web Data Mining and Analysis (4 papers) and Authorship Attribution and Profiling (3 papers). Tianjun Fu is often cited by papers focused on Spam and Phishing Detection (6 papers), Web Data Mining and Analysis (4 papers) and Authorship Attribution and Profiling (3 papers). Tianjun Fu collaborates with scholars based in United States and China. Tianjun Fu's 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 and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of the Association for Information Systems and ACM Transactions on Information Systems.

In The Last Decade

Tianjun Fu

11 papers receiving 296 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tianjun Fu United States	9	155	151	77	53	45	11	320
Fattane Zarrinkalam Canada	10	166 1.1×	153 1.0×	71 0.9×	102 1.9×	14 0.3×	33	293
Abolfazl AleAhmad Iran	10	189 1.2×	126 0.8×	69 0.9×	161 3.0×	27 0.6×	16	384
Gastón L’Huillier Chile	9	138 0.9×	142 0.9×	40 0.5×	46 0.9×	38 0.8×	17	262
John Cardiff Ireland	11	185 1.2×	103 0.7×	123 1.6×	21 0.4×	29 0.6×	41	327
Takashi Tomokiyo United States	5	312 2.0×	164 1.1×	37 0.5×	67 1.3×	16 0.4×	6	390
Raquel Martínez Spain	8	145 0.9×	96 0.6×	51 0.7×	72 1.4×	14 0.3×	16	250
Mikołaj Morzy Poland	9	91 0.6×	73 0.5×	75 1.0×	42 0.8×	12 0.3×	40	252
Ida Mele Italy	10	132 0.9×	85 0.6×	48 0.6×	34 0.6×	24 0.5×	30	252
Claudia Peersman United Kingdom	9	193 1.2×	195 1.3×	67 0.9×	15 0.3×	47 1.0×	18	340
Prashant Shiralkar United States	6	214 1.4×	151 1.0×	218 2.8×	44 0.8×	42 0.9×	10	369

Countries citing papers authored by Tianjun Fu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tianjun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianjun Fu. A scholar is included among the top collaborators of Tianjun Fu 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 Tianjun Fu. Tianjun Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Abbasi, Ahmed, Tianjun Fu, Daniel Zeng, & Donald Adjeroh. (2013). Crawling Credible Online Medical Sentiments for Social Intelligence. 32. 254–263. 17 indexed citations

2.

Fu, Tianjun, Ahmed Abbasi, Daniel Zeng, & Hsinchun Chen. (2012). Sentimental Spidering. ACM Transactions on Information Systems. 30(4). 1–30. 39 indexed citations

3.

Huang, Chun-Neng, Tianjun Fu, & Hsinchun Chen. (2010). Text‐based video content classification for online video‐sharing sites. Journal of the American Society for Information Science and Technology. 61(5). 891–906. 40 indexed citations

4.

Fu, Tianjun, Ahmed Abbasi, & Hsinchun Chen. (2010). A focused crawler for Dark Web forums. Journal of the American Society for Information Science and Technology. 61(6). 1213–1231. 64 indexed citations

5.

Zimbra, David, Tianjun Fu, & Xin Li. (2009). ASSESSING PUBLIC OPINIONS THROUGH WEB 2.0: A CASE STUDY ON WAL-MART. Journal of the Association for Information Systems. 67. 9 indexed citations

6.

Fu, Tianjun, Chun-Neng Huang, & Hsinchun Chen. (2009). Identification of extremist videos in online video sharing sites. 179–181. 9 indexed citations

7.

Fu, Tianjun, Ahmed Abbasi, & Hsinchun Chen. (2008). A hybrid approach to Web forum interactional coherence analysis. Journal of the American Society for Information Science and Technology. 59(8). 1195–1209. 15 indexed citations

8.

Chen, Hsinchun, et al.. (2008). Cyber extremism in Web 2.0: An exploratory study of international Jihadist groups. 7. 98–103. 23 indexed citations

9.

Fu, Tianjun & Hsinchun Chen. (2008). Analysis of cyberactivism: A case study of online free Tibet activities. 1–6. 8 indexed citations

10.

Abbasi, Ahmed, et al.. (2008). Affect Analysis of Web Forums and Blogs Using Correlation Ensembles. IEEE Transactions on Knowledge and Data Engineering. 20(9). 1168–1180. 93 indexed citations

11.

Fu, Tianjun, Ahmed Abbasi, & Hsinchun Chen. (2007). Interaction Coherence Analysis for Dark Web Forums. 17. 342–349. 3 indexed citations

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.

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