Yu‐Wei Chang

62 papers receiving 1.7k citations

Peers

Yu‐Wei Chang
Comparison fields: 5 of 166
  • Statistics, Probability and Uncertainty 370
  • Library and Information Sciences 54
  • Information Systems and Management 101
  • Information Systems 324
  • General Social Sciences 40
Replace Mu‐Hsuan Huang with:
Mu‐Hsuan Huang Taiwan
Diane H. Sonnenwald United States
Jesper Wiborg Schneider Denmark
Dangzhi Zhao Canada
Brady Daniel Lund United States
Antonio Perianes‐Rodríguez Spain
Chengzhi Zhang China
Jean‐Claude Burgelman Belgium
Jae Young Choi South Korea
Isidro F. Aguillo Spain
Yu‐Wei Chang relative to Mu‐Hsuan Huang Taiwan Mu‐Hsuan Huang's profile →
Citations per field
00.5×2×2.8×
Mu‐Hsuan Huang · 1×
Citations per year

Countries citing papers authored by Yu‐Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Wei Chang. 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 Yu‐Wei Chang. The network helps show where Yu‐Wei Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015251
2 2008143
3 2009141
4 2008118
5 2009117
6 2011112
7 200967
8 201166
9 200964
10 201064
11 201361
12 201042
13 201235
14 201835
15 202127
16 201727
17 201326
18 201623
19 200720
20 201320

About Yu‐Wei Chang

Yu‐Wei Chang is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Information Systems and Management, Library and Information Sciences and Management Science and Operations Research, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (28 papers), Research Data Management Practices (8 papers), Information Retrieval and Search Behavior (6 papers), Library Science and Information Literacy (5 papers), Heat Transfer and Optimization (4 papers), Knowledge Management and Sharing (3 papers), Web visibility and informetrics (3 papers) and Interdisciplinary Research and Collaboration (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (370 citations), Library and Information Sciences (54 citations), Information Systems and Management (101 citations), Information Systems (324 citations) and General Social Sciences (40 citations). Yu‐Wei Chang has collaborated with scholars based in Taiwan, Finland and China. Frequent co-authors include Mu‐Hsuan Huang, Sih‐Li Chen, Chiao‐Wen Lin, Ming-Tsun Ke, Yu-Hern Chang, Chih-Chung Chang, Jung‐Chang Wang, ching-fu chen, Chung‐Hsing Yeh and Wen‐Shing Lee. Their work appears in journals such as Scientometrics, Library & Information Science Research, Journal of Librarianship and Information Science, The Journal of Academic Librarianship and Journal of the Association for Information Science and Technology.

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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