Mi Yeon Lee
- Education top 2%
- Statistics and Probability top 2%
- Applied Mathematics top 5%
- Developmental and Educational Psychology top 10%
- Biomedical Engineering
- Co-authors
- Amy J. HackenbergJi-Eun LeeJoi MerrittPeter RilleroDionne Cross FrancisJi‐Won SonInsik InSung Young Park
- Topics
- Mathematics Education and Teaching Techniques (31 papers)Cognitive and developmental aspects of mathematical skills (18 papers)Statistics Education and Methodologies (13 papers)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Mi Yeon Lee
43 papers receiving 551 citations
Peers
Comparison fields: 5 of 63
- Education 461
- Statistics and Probability 216
- Applied Mathematics 116
- Developmental and Educational Psychology 85
- Biomedical Engineering 53
Countries citing papers authored by Mi Yeon Lee
This map shows the geographic impact of Mi Yeon 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 Mi Yeon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Yeon Lee more than expected).
Fields of papers citing papers by Mi Yeon Lee
This network shows the impact of papers produced by Mi Yeon 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 Mi Yeon Lee. The network helps show where Mi Yeon Lee may publish in the future.
Co-authorship network of co-authors of Mi Yeon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Mi Yeon Lee. A scholar is included among the top collaborators of Mi Yeon Lee 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 Mi Yeon Lee. Mi Yeon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 12 | |
| 9 | 29 | |
| 10 | 34 | |
| 11 | 122 | |
| 12 | Preservice Teachers' Conception of Effective Problem-Solving Instruction and Their Problem Solving. | 1 |
| 13 | Preservice Teachers' Fractional Concepts in Solving Advanced Fraction Problems. | 0 |
| 14 | 4 | |
| 15 | 21 | |
| 16 | 8 | |
| 17 | 12 | |
| 18 | Pre-fractional Middle School Students' Algebraic Reasoning | 1 |
| 19 | 4 | |
| 20 | 6 |
About Mi Yeon Lee
Mi Yeon Lee is a scholar working on Statistics and Probability, Education and Architecture, having authored 49 papers that have together received 577 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (31 papers), Cognitive and developmental aspects of mathematical skills (18 papers) and Statistics Education and Methodologies (13 papers). The work is most often cited by research in Statistics and Probability (216 citations), Education (461 citations) and Applied Mathematics (116 citations). Mi Yeon Lee has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Amy J. Hackenberg, Ji-Eun Lee, Joi Merritt, Peter Rillero, Dionne Cross Francis, Ji‐Won Son, Insik In, Sung Young Park, Woong Lim and Won Jin Lee. Their work appears in journals such as Frontiers in Plant Science, Journal of Applied Polymer Science and Teaching and Teacher Education.
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.