Wingyan Chung

3.2k citations
83 papers · 2.1k · h-index 22

Impact in

Papers in

    • Web Data Mining and Analysis 13
    • Web visibility and informetrics 13
    • Spam and Phishing Detection 9
    • Information Retrieval and Search Behavior 8
    • Advanced Text Analysis Techniques 10

Wingyan Chung

78 papers receiving 1.9k citations

Peers

Wingyan Chung
Comparison fields: 5 of 121
  • Information Systems 890
  • Computer Science Applications 151
  • Information Systems and Management 190
  • Management Information Systems 232
  • Artificial Intelligence 702
Replace Jennifer Xu with:
Jennifer Xu United States
Kieron O’Hara United Kingdom
Béla Gipp Germany
Guoqing Chen China
Adam Perer United States
Michelle X. Zhou United States
Costas Vassilakis Greece
Daniel J. Weitzner United States
Alan S. Abrahams United States
Roslan Ismail Malaysia
Wingyan Chung relative to Jennifer Xu United States Jennifer Xu's profile →
Citations per field
00.5×1.5×2.1×
Jennifer Xu · 1×
Citations per year

Countries citing papers authored by Wingyan Chung

Since Specialization
Citations

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

Fields of papers citing papers by Wingyan Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wingyan Chung, 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 Wingyan Chung Line = papers co-authored together Wingyan Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004329
2 2005159
3 2003154
4 2002146
5 2018143
6 200889
7 200388
8 201581
9 201879
10 201269
11 200354
12 201453
13 200347
14 200443
15 200438
16 200437
17 201531
18 200431
19 202029
20 200325

About Wingyan Chung

Wingyan Chung is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science and Management Information Systems, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Web Data Mining and Analysis (13 papers), Web visibility and informetrics (13 papers), Big Data and Business Intelligence (12 papers), Advanced Text Analysis Techniques (10 papers), Data Visualization and Analytics (9 papers), Spam and Phishing Detection (9 papers) and Information Retrieval and Search Behavior (8 papers). The work is most often cited by research in Information Systems (890 citations), Computer Science Applications (151 citations), Information Systems and Management (190 citations), Management Information Systems (232 citations) and Artificial Intelligence (702 citations). Wingyan Chung has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Hsinchun Chen, Zan Huang, Daniel Zeng, Jay F. Nunamaker, Jennifer Xu, Yi Qin, Michael Chau, G. Alan Wang, Janine Paynter and Hao Chen. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Human-Computer Studies, Information & Management, Enterprise Information Systems and International Journal of Information Management.

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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