Muh‐Chyun Tang

602 citations
33 papers · 419 indexed · h-index 12
Topics
Information Retrieval and Search Behavior (7 papers)scientometrics and bibliometrics research (6 papers)Digital Marketing and Social Media (6 papers)

In The Last Decade

Muh‐Chyun Tang

31 papers receiving 384 citations

Peers

Muh‐Chyun Tang
Comparison fields: 5 of 94
  • Information Systems 191
  • Artificial Intelligence 103
  • Sociology and Political Science 55
  • Information Systems and Management 54
  • Statistics, Probability and Uncertainty 50
Replace Margaret E. I. Kipp with:
Margaret E. I. Kipp United States
Julian Warner United Kingdom
Ann O’Brien United Kingdom
Ke Zhou United Kingdom
Martha E. Williams United States
Koraljka Golub Sweden
Laurent Romary France
Hussein Suleman South Africa
Clare Beghtol Canada
Sean L. Humpherys United States
Muh‐Chyun Tang relative to Margaret E. I. Kipp United States Margaret E. I. Kipp's profile →
Citations per field
00.5×7.5×
Margaret E. I. Kipp · 1×
Citations per year

Countries citing papers authored by Muh‐Chyun Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Muh‐Chyun Tang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 6
3 5
4 11
5 8
6 47
7 3
8
A cross-language co-word network comparison of Buddhist literature in Digital Library and Museum of Buddhist study
1
9 3
10 31
11 10
12 10
13 1
14 4
15 2
16
Rutgers' HARD and Web Interactive Track Experiments at TREC 2003.
12
17 99
18
Rutgers’ TREC 2001 Interactive Track Experience
34
19 21
20 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) and Digital Marketing and Social Media (6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026