Muh‐Chyun Tang
- Information Systems top 5%
- Information Retrieval and Search Behavior 7
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- Technology Adoption and User Behaviour 3
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- scientometrics and bibliometrics research 6
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing 4
- Communication top 10%
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- Digital Marketing and Social Media 6
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- Complex Network Analysis Techniques 5
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- Media Influence and Health 3
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- Advanced Text Analysis Techniques 3
- Co-authors
- John L. FalkXiaojun YuanNicholas J. BelkinDiane KellyColleen CoolGheorghe MureşanGiyeong KimKuang‐Hua Chen
- Cited by
- Information SystemsInformation Systems and ManagementStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterología (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Pharmacology Biochemistry and Behavior (1 paper)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Muh‐Chyun Tang
31 papers receiving 384 citations
Peers
Comparison fields: 5 of 94
- Information Systems 191
- Information Systems and Management 54
- Statistics, Probability and Uncertainty 50
- Computer Science Applications 29
- Communication 37
Countries citing papers authored by Muh‐Chyun Tang
This map shows the geographic impact of Muh‐Chyun Tang'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 Muh‐Chyun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muh‐Chyun Tang more than expected).
Fields of papers citing papers by Muh‐Chyun Tang
This network shows the impact of papers produced by Muh‐Chyun Tang. 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 Muh‐Chyun Tang. The network helps show where Muh‐Chyun Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muh‐Chyun Tang, 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 | 5 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 11 | |
| 5 | 2019 | 8 | |
| 6 | 2017 | 47 | |
| 7 | 2017 | 3 | |
| 8 | A cross-language co-word network comparison of Buddhist literature in Digital Library and Museum of Buddhist study | 2017 | 1 |
| 9 | 2016 | 3 | |
| 10 | 2014 | 31 | |
| 11 | 2013 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 4 | |
| 15 | 2005 | 2 | |
| 16 | Rutgers' HARD and Web Interactive Track Experiments at TREC 2003. | 2003 | 12 |
| 17 | 2003 | 99 | |
| 18 | Rutgers’ TREC 2001 Interactive Track Experience | 1998 | 34 |
| 19 | 1989 | 21 | |
| 20 | 1988 | 15 |
About Muh‐Chyun Tang
Muh‐Chyun Tang is a scholar working on Library and Information Sciences, Statistics, Probability and Uncertainty and Computer Science Applications, having authored 33 papers that have together received 419 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (7 papers), scientometrics and bibliometrics research (6 papers), Digital Marketing and Social Media (6 papers), Complex Network Analysis Techniques (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Media Influence and Health (3 papers), Advanced Text Analysis Techniques (3 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Information Systems (191 citations), Information Systems and Management (54 citations) and Statistics, Probability and Uncertainty (50 citations). Muh‐Chyun Tang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include John L. Falk, Xiaojun Yuan, Nicholas J. Belkin, Diane Kelly, Colleen Cool, Gheorghe Mureşan, Giyeong Kim, Kuang‐Hua Chen, Chunmei Wang and Jieh Hsiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Pharmacology and Experimental Therapeutics and Pharmacology Biochemistry and Behavior.
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.