Yu‐Wei Chang

62 papers receiving 1.6k citations

Peers

Yu‐Wei Chang
Comparison fields: 5 of 175
  • Statistics, Probability and Uncertainty 349
  • Library and Information Sciences 52
  • Information Systems 306
  • Information Systems and Management 92
  • General Social Sciences 32
Replace Mu‐Hsuan Huang with:
Mu‐Hsuan Huang Taiwan
Diane H. Sonnenwald United States
Jesper Wiborg Schneider Denmark
Brady Lund United States
Bo Jarneving Sweden
Jae Young Choi South Korea
Mimi Zhang China
Ed Noyons Netherlands
Jeppe Nicolaisen Denmark
Isidro F. Aguillo Spain
Yu‐Wei Chang relative to Mu‐Hsuan Huang Taiwan Mu‐Hsuan Huang's profile →
Citations per field
00.5×2.7×
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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015229
2 2009130
3 2008129
4 2008110
5 2009110
6 2011105
7 200967
8 201163
9 201062
10 201359
11 200959
12 201039
13 201236
14 201829
15 201727
16 202125
17 201321
18 201621
19 201319
20 200719

About Yu‐Wei Chang

Yu‐Wei Chang is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Information Systems and Management, Management Science and Operations Research and Mechanical Engineering, having authored 68 papers that have together received 1.7k 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), Intellectual Property and Patents (3 papers), Academic Publishing and Open Access (3 papers) and Web visibility and informetrics (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (349 citations), Library and Information Sciences (52 citations), Information Systems (306 citations), Information Systems and Management (92 citations) and General Social Sciences (32 citations). Yu‐Wei Chang has collaborated with scholars based in Taiwan, Finland and United States. 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, Chung‐Hsing Yeh, Ching‐Fu Chen and Wen‐Shing Lee. Their work appears in journals such as Scientometrics, Optics Express, The Journal of Academic Librarianship, Journal of Librarianship and Information Science and Information Processing & 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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