Minsu Ha

1.9k total citations
99 papers, 1.3k citations indexed

About

Minsu Ha is a scholar working on Education, Safety Research and Social Psychology. According to data from OpenAlex, Minsu Ha has authored 99 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Education, 32 papers in Safety Research and 27 papers in Social Psychology. Recurrent topics in Minsu Ha's work include Science Education and Pedagogy (26 papers), Education, Safety, and Science Studies (25 papers) and Education and Critical Thinking Development (18 papers). Minsu Ha is often cited by papers focused on Science Education and Pedagogy (26 papers), Education, Safety, and Science Studies (25 papers) and Education and Critical Thinking Development (18 papers). Minsu Ha collaborates with scholars based in South Korea, United States and Indonesia. Minsu Ha's co-authors include Ross H. Nehm, John E. Opfer, Jun‐Ki Lee, Arif Rachmatullah, Elijah Mayfield, David L. Haury, Mark Urban‐Lurain, Fenny Roshayanti, John Merrill and Dennis K. Pearl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Journal of Research in Science Teaching.

In The Last Decade

Minsu Ha

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minsu Ha South Korea 18 773 410 409 367 145 99 1.3k
Patricia Friedrichsen United States 24 1.6k 2.1× 273 0.7× 114 0.3× 754 2.1× 231 1.6× 60 1.9k
Sarah K. Brem United States 14 482 0.6× 357 0.9× 359 0.9× 367 1.0× 197 1.4× 34 1.1k
Douglas Allchin United States 23 1.4k 1.9× 317 0.8× 319 0.8× 932 2.5× 426 2.9× 136 2.3k
Ron Good United States 16 628 0.8× 179 0.4× 363 0.9× 325 0.9× 91 0.6× 44 1.3k
Andrée Tiberghien France 19 1.8k 2.3× 333 0.8× 65 0.2× 1.0k 2.8× 252 1.7× 79 2.3k
Rosária Justi Brazil 20 2.0k 2.6× 200 0.5× 74 0.2× 1.1k 2.9× 139 1.0× 70 2.3k
Zoubeida R. Dagher United States 21 1.5k 1.9× 376 0.9× 338 0.8× 935 2.5× 191 1.3× 28 1.8k
William F. McComas United States 22 2.1k 2.8× 503 1.2× 240 0.6× 1.3k 3.4× 169 1.2× 59 2.5k
Jon Ogborn United Kingdom 22 1.1k 1.4× 187 0.5× 55 0.1× 730 2.0× 137 0.9× 62 1.7k
G. Michael Bowen Canada 22 956 1.2× 178 0.4× 37 0.1× 576 1.6× 128 0.9× 48 1.5k

Countries citing papers authored by Minsu Ha

Since Specialization
Citations

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

Fields of papers citing papers by Minsu Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minsu Ha. 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 Minsu Ha. The network helps show where Minsu Ha may publish in the future.

Co-authorship network of co-authors of Minsu Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Minsu Ha. A scholar is included among the top collaborators of Minsu Ha 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 Minsu Ha. Minsu Ha 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
1.
Ha, Minsu, et al.. (2024). Development of a digital literacy measurement tool for middle and high school students in the context of scientific practice. Education and Information Technologies. 30(4). 4583–4606. 2 indexed citations
2.
3.
Widodo, Ari, et al.. (2024). Systematic Review of Educational Level and Evaluation Tools for Computational Thinking Skill. Jurnal Penelitian Pendidikan IPA. 10(2). 54–61.
4.
Ha, Minsu, et al.. (2024). TOWARDS EFFECTIVE ARGUMENTATION: DESIGN AND IMPLEMENTATION OF A GENERATIVE AI-BASED EVALUATION AND FEEDBACK SYSTEM. Journal of Baltic Science Education. 23(2). 280–291. 4 indexed citations
5.
Ha, Minsu, et al.. (2023). Development of an Unsupervised LearningBased Automated Evaluation System of Descriptive Assessment. 13(4). 339–351. 1 indexed citations
6.
Ha, Minsu, et al.. (2023). EXPLORING CONFIDENCE ACCURACY AND ITEM DIFFICULTY IN CHANGING MULTIPLE-CHOICE ANSWERS OF SCIENTIFIC REASONING TEST. Malaysian Journal of Learning and Instruction. 20.
7.
Roshayanti, Fenny, et al.. (2023). The Implementation of Creative Problem Solving Model in Teaching of Biodeviersity at Senior High School. 6(1). 61–61. 1 indexed citations
8.
9.
Rustaman, Nuryani, et al.. (2022). The Investigation of Meta-Affective Differences Between Gender in Vocational High Schools During Learning Science. Journal of Technical Education and Training. 14(2).
10.
Rachmatullah, Arif, et al.. (2021). Teaching Korean science for Indonesian middle school students: promoting Indonesian students’ attitude towards science through the global science exchange programme. International Journal of Science Education. 43(11). 1837–1859. 4 indexed citations
11.
12.
Rachmatullah, Arif, et al.. (2021). The Genetics Conceptual Understanding of Indonesian and United States Undergraduate Biology Students. 7(1). 197–225. 3 indexed citations
13.
Lee, Jun‐Ki, et al.. (2021). A comparison of Korean and Indonesian secondary school students’ career values. International Journal for Educational and Vocational Guidance. 22(1). 117–136.
14.
Ha, Minsu, et al.. (2019). Chinese pre-service biology teachers’ evolutionary knowledge, reasoning patterns, and acceptance levels. International Journal of Science Education. 41(5). 628–651. 13 indexed citations
15.
16.
17.
Kelly, Angela M., et al.. (2015). A Case Study of a School District Assessment System and its Correlation with Student Performance in Physical Sciences. The Physics Video Demonstration Database (Cornell University). 127–130. 1 indexed citations
18.
Ha, Minsu. (2013). Assessing Scientific Practices Using Machine Learning Methods: Development of Automated Computer Scoring Models for Written Evolutionary Explanations. OhioLink ETD Center (Ohio Library and Information Network). 2 indexed citations
19.
Ha, Minsu, et al.. (2007). Analysis of Social Factors Affecting Gender Differences in Science-Related Attitudes. Journal of The Korean Association For Science Education. 27(7). 583–591. 1 indexed citations
20.
Ha, Minsu, et al.. (2007). Development of Test of Science Inquiry Skills (TSIS) for Middle School Students. BIOLOGY EDUCATION. 35(2). 163–177. 2 indexed citations

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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