Eun‐Mi Yang

533 total citations
10 papers, 379 citations indexed

About

Eun‐Mi Yang is a scholar working on Education, Automotive Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Eun‐Mi Yang has authored 10 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Education, 2 papers in Automotive Engineering and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Eun‐Mi Yang's work include Science Education and Pedagogy (4 papers), Visual and Cognitive Learning Processes (2 papers) and EFL/ESL Teaching and Learning (2 papers). Eun‐Mi Yang is often cited by papers focused on Science Education and Pedagogy (4 papers), Visual and Cognitive Learning Processes (2 papers) and EFL/ESL Teaching and Learning (2 papers). Eun‐Mi Yang collaborates with scholars based in United States. Eun‐Mi Yang's co-authors include Brian Hand, Thomas J. Greenbowe, Lena Tibell, Thomas André and Thierry André and has published in prestigious journals such as International Journal of Science Education, Journal of Chemical Education and The Journal of the Korean Institute of Information and Communication Engineering.

In The Last Decade

Eun‐Mi Yang

7 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eun‐Mi Yang United States	4	279	197	94	35	31	10	379
Maria Opfermann Germany	9	250 0.9×	298 1.5×	368 3.9×	49 1.4×	35 1.1×	10	596
Jennifer Wilhelm United States	12	395 1.4×	146 0.7×	48 0.5×	59 1.7×	35 1.1×	43	483
Danielle E. Kaplan United States	7	279 1.0×	190 1.0×	73 0.8×	11 0.3×	58 1.9×	18	442
Nitza Barnea Israel	7	273 1.0×	112 0.6×	76 0.8×	31 0.9×	32 1.0×	8	338
Peter Hubber Australia	8	253 0.9×	117 0.6×	65 0.7×	4 0.1×	20 0.6×	30	312
Dane DeSutter United States	7	160 0.6×	101 0.5×	98 1.0×	64 1.8×	7 0.2×	11	269
Ping-Kee Tao Hong Kong	10	438 1.6×	265 1.3×	47 0.5×	7 0.2×	32 1.0×	14	508
Virginia J. Flood United States	10	157 0.6×	139 0.7×	52 0.6×	5 0.1×	11 0.4×	28	302
Meng-Lung Lai Taiwan	7	197 0.7×	129 0.7×	159 1.7×	18 0.5×	25 0.8×	12	431
Han‐Chin Liu Taiwan	9	116 0.4×	94 0.5×	108 1.1×	9 0.3×	51 1.6×	17	304

Countries citing papers authored by Eun‐Mi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Eun‐Mi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Mi Yang. 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 Eun‐Mi Yang. The network helps show where Eun‐Mi Yang may publish in the future.

Co-authorship network of co-authors of Eun‐Mi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Mi Yang. A scholar is included among the top collaborators of Eun‐Mi Yang 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 Eun‐Mi Yang. Eun‐Mi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Yang, Eun‐Mi, et al.. (2023). UI/UX Model of Mulit-modal AI-based Mobile APP(Focusing on senior-friendly services of bank APPs). The Journal of the Korean Institute of Information and Communication Engineering. 27(9). 1037–1043.

2.

Yang, Eun‐Mi, et al.. (2019). The Impact of Servicelearning on Teacher Candidates’ Self-Efficacy in Teaching Stem Content to Diverse Learners. 2. 121–148. 3 indexed citations

3.

Yang, Eun‐Mi. (2015). Korean college students’ L2 learning experience in a short-term study abroad context: A grounded theory approach. 14(1). 103–134. 1 indexed citations

4.

Yang, Eun‐Mi. (2013). Global Educational Experience and L2 Learning Motivation of Korean College Students. 12(2). 237–259. 1 indexed citations

5.

Yang, Eun‐Mi. (2012). Exploring the Relationship between Spirituality of College Students and Roles of Higher Education. The Korean Association of General Education. 6(1). 289–328. 1 indexed citations

6.

Yang, Eun‐Mi. (2010). A Study on the Effectiveness of Extensive Reading in College English Classes. 2 indexed citations

7.

Yang, Eun‐Mi, Thomas J. Greenbowe, & Thierry André. (2004). The Effective Use of an Interactive Software Program To Reduce Students' Misconceptions about Batteries. Journal of Chemical Education. 81(4). 587–587. 28 indexed citations

8.

Hand, Brian, et al.. (2004). Using a Science Writing Heuristic to enhance learning outcomes from laboratory activities in seventh‐grade science: quantitative and qualitative aspects. International Journal of Science Education. 26(2). 131–149. 180 indexed citations

9.

Yang, Eun‐Mi, Thomas André, Thomas J. Greenbowe, & Lena Tibell. (2003). Spatial ability and the impact of visualization/animation on learning electrochemistry. International Journal of Science Education. 25(3). 329–349. 152 indexed citations

10.

Yang, Eun‐Mi, Thomas André, Thomas J. Greenbowe, & Lena Tibell. (2003). Spatial ability and the impact of visualization/animation on learning electrochemistry. International Journal of Science Education. 25(3). 329–349. 11 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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