Won‐Chan Lee

749 citations
49 papers · 462 · h-index 13

Impact in

Papers in

Won‐Chan Lee

45 papers receiving 409 citations

Peers

Won‐Chan Lee
Comparison fields: 5 of 71
  • Management Science and Operations Research 279
  • Statistics and Probability 146
  • Statistics, Probability and Uncertainty 70
  • Computer Networks and Communications 182
  • Experimental and Cognitive Psychology 33
Replace Deborah J. Harris with:
Deborah J. Harris United States
Gautam Puhan United States
Cornelis A.W. Glas Netherlands
Walter D. Way United States
Tim Moses United States
C. David Vale United States
Janice A. Gifford United States
Björn Andersson Norway
Kyung T. Han United States
Won‐Chan Lee relative to Deborah J. Harris United States Deborah J. Harris's profile →
Citations per field
00.5×2.9×
Deborah J. Harris · 1×
Citations per year

Countries citing papers authored by Won‐Chan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Chan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Chan Lee. 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 Won‐Chan Lee. The network helps show where Won‐Chan Lee may publish in the future.

Co-authors

The 22 scholars most cited alongside Won‐Chan Lee, 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 Won‐Chan Lee Line = papers co-authored together Won‐Chan Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201048
2 200246
3 199843
4 200632
5 200830
6 200927
7 200926
8 201022
9 200022
10 199915
11 201614
12 201313
13 200712
14 200511
15 201910
16 201110
17 201210
18 19989
19 20197
20 20065

About Won‐Chan Lee

Won‐Chan Lee is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Statistics and Probability, Education and Developmental and Educational Psychology, having authored 49 papers that have together received 462 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (36 papers), Advanced Statistical Modeling Techniques (28 papers), Advanced Statistical Methods and Models (11 papers), Statistical Methods and Bayesian Inference (5 papers), Multi-Criteria Decision Making (4 papers), Optimal Experimental Design Methods (4 papers), Reliability and Agreement in Measurement (4 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Management Science and Operations Research (279 citations), Statistics and Probability (146 citations), Statistics, Probability and Uncertainty (70 citations), Computer Networks and Communications (182 citations) and Experimental and Cognitive Psychology (33 citations). Won‐Chan Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Robert L. Brennan, Michael J. Kolen, Joseph Lee Rodgers, Seonghoon Kim, Bradley A. Hanson, Tianyou Wang, Stella Kim, Bradley G. Brossman, Stephen B. Dunbar and Kyung Yong Kim. Their work appears in journals such as Journal of Educational Measurement, Applied Measurement in Education, Applied Psychological Measurement, Educational and Psychological Measurement and Educational Measurement Issues and Practice.

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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