Weiguo Fan

15.1k citations
266 papers · 10.3k indexed · 6 hit papers · h-index 52

Impact in

Papers in

Weiguo Fan

252 papers receiving 9.7k citations

Hit Papers

A new image classification method using CNN transfer learning and web data augmentation 2017 · 384 citations
3842014202620182022250500750

Peers

Weiguo Fan
Comparison fields: 5 of 184
  • Information Systems and Management 1.8k
  • Marketing 1.8k
  • Communication 849
  • Artificial Intelligence 3.1k
  • Information Systems 2.1k
Replace Arpan Kumar Kar with:
Arpan Kumar Kar India
Bernard J. Jansen United States
Keng Siau United States
Wu He United States
Jinsoo Park South Korea
Michael Müller United States
Thomas W. Malone United States
Hal R. Varian United States
David C. Yen United States
A.K.M. Najmul Islam Finland
Weiguo Fan relative to Arpan Kumar Kar India Arpan Kumar Kar's profile →
Citations per field
00.5×5.8×
Arpan Kumar Kar · 1×
Citations per year

Countries citing papers authored by Weiguo Fan

Since Specialization
Citations

This map shows the geographic impact of Weiguo 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 Weiguo Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiguo Fan more than expected).

Fields of papers citing papers by Weiguo Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiguo 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 Weiguo Fan. The network helps show where Weiguo Fan may publish in the future.

Co-authors

The 25 scholars most cited alongside Weiguo Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weiguo Fan Line = papers co-authored together Weiguo Fan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20247
4 20242
5 20240
6 20246
7 20240
8 20248
9 20236
10 20235
11 20227
12 202112
13 202083
14 2018134
15
A Meta-Analysis on the Determinants of Online Review Helpfulness.
20175
16
Crowd Wisdom: The Impact of Opinion Diversity and Participant Independence on Crowd Performance
20169
17
Identifying product defects from user complaints: A probabilistic defect model
20169
18 20123
19
Searching for Authoritative Documents in Knowledge-Base Communities
20094
20 20071

About Weiguo Fan

Weiguo Fan is a scholar working on Communication, Information Systems and Management, Computer Science Applications, Information Systems and Artificial Intelligence, having authored 266 papers that have together received 10.3k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (64 papers), Knowledge Management and Sharing (35 papers), Technology Adoption and User Behaviour (28 papers), Topic Modeling (23 papers), Web Data Mining and Analysis (23 papers), Advanced Text Analysis Techniques (20 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Information Retrieval and Search Behavior (18 papers). The work is most often cited by research in Information Systems and Management (1.8k citations), Marketing (1.8k citations), Communication (849 citations), Artificial Intelligence (3.1k citations) and Information Systems (2.1k citations). Weiguo Fan has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include G. Alan Wang, Baozhou Lu, Mi Zhou, Michael D. Gordon, Qianzhou Du, Yufeng Ma, Zheng Xiang, Zhongju Zhang, Praveen Pathak and Alan S. Abrahams. Their work appears in journals such as Decision Support Systems, Journal of the Association for Information Systems, Journal of the Association for Information Science and Technology, Pattern Recognition and Information Systems Frontiers.

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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