Wingyan Chung
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
Papers in
-
- Web visibility and informetrics 13
- Web Data Mining and Analysis 13
- Spam and Phishing Detection 9
- Information Retrieval and Search Behavior 8
-
- Big Data and Business Intelligence 12
- Co-authors
- Hsinchun ChenZan HuangDaniel ZengJay F. NunamakerJennifer XuMichael ChauYi QinG. Alan Wang
- Journals
- Journal of the Association for Information Systems (10 papers)International Journal of Human-Computer Studies (3 papers)International Journal of Information Management (2 papers)Enterprise Information Systems (2 papers)Communications of the ACM (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Wingyan Chung
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 118
- Information Systems 890
- Computer Science Applications 149
- Information Systems and Management 190
- Management Information Systems 233
- Artificial Intelligence 701
Countries citing papers authored by Wingyan Chung
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2020 | 29 | |
| 4 | A Dynamic Classification Approach to Churn Prediction in Banking Industry. | 2020 | 5 |
| 5 | 2020 | 7 | |
| 6 | 2018 | 2 | |
| 7 | eMood: Modeling Emotion for Social Media Analytics on Ebola Disease Outbreak | 2015 | 6 |
| 8 | 2015 | 20 | |
| 9 | 2015 | 79 | |
| 10 | Identifying influential users in social media: A study of U.S. Immigration reform | 2014 | 1 |
| 11 | Risk Assessment Based on News Articles: An Experiment on IT Companies | 2012 | 1 |
| 12 | 2012 | 6 | |
| 13 | Extracting business intelligence from online product reviews: An experiment of automatic rule-induction | 2010 | 6 |
| 14 | Automatic Summarization of Customer Reviews: An Integrated Approach | 2009 | 3 |
| 15 | LIKES: Educating the Next Generation of Knowledge Society Builders | 2009 | 4 |
| 16 | 2009 | 6 | |
| 17 | 2007 | 1 | |
| 18 | 2006 | 12 | |
| 19 | 2006 | 16 | |
| 20 | 2003 | 53 |
About Wingyan Chung
Wingyan Chung is a scholar working on Information Systems, Management Information Systems, Statistical and Nonlinear Physics, Computer Science Applications and Artificial Intelligence, 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 visibility and informetrics (13 papers), Web Data Mining and Analysis (13 papers), Big Data and Business Intelligence (12 papers), Advanced Text Analysis Techniques (10 papers), Spam and Phishing Detection (9 papers), Data Visualization and Analytics (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 (149 citations), Information Systems and Management (190 citations), Management Information Systems (233 citations) and Artificial Intelligence (701 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, Michael Chau, Yi Qin, 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, International Journal of Information Management, Enterprise Information Systems and Communications of the ACM.
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.