Jun‐Ki Lee

518 total citations
58 papers, 380 citations indexed

About

Jun‐Ki Lee is a scholar working on Safety Research, Information Systems and Cognitive Neuroscience. According to data from OpenAlex, Jun‐Ki Lee has authored 58 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Safety Research, 21 papers in Information Systems and 10 papers in Cognitive Neuroscience. Recurrent topics in Jun‐Ki Lee's work include Education, Safety, and Science Studies (19 papers), Education and Learning Interventions (13 papers) and Educational Systems and Policies (9 papers). Jun‐Ki Lee is often cited by papers focused on Education, Safety, and Science Studies (19 papers), Education and Learning Interventions (13 papers) and Educational Systems and Policies (9 papers). Jun‐Ki Lee collaborates with scholars based in South Korea, United States and Indonesia. Jun‐Ki Lee's co-authors include Minsu Ha, Yong‐Ju Kwon, Arif Rachmatullah, Fenny Roshayanti, Ahn-Heum Eom, Woong Sun, Dong-Hoon Shin, Cheol Hee Lee, Kang‐Hyun Chung and Jeung Hee An and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Jun‐Ki Lee

42 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Ki Lee South Korea 12 132 71 58 54 42 58 380
Meghan Allen Canada 12 71 0.5× 55 0.8× 19 0.3× 49 0.9× 13 0.3× 25 341
Anne Forbes Australia 13 185 1.4× 40 0.6× 35 0.6× 72 1.3× 44 1.0× 25 450
Heui‐Baik Kim South Korea 10 405 3.1× 52 0.7× 69 1.2× 122 2.3× 79 1.9× 69 589
Sarika Kewalramani Australia 12 209 1.6× 69 1.0× 26 0.4× 60 1.1× 22 0.5× 26 368
Jeong-Im Choi South Korea 9 249 1.9× 81 1.1× 13 0.2× 115 2.1× 16 0.4× 23 471
Thomas Roberts United States 7 210 1.6× 29 0.4× 91 1.6× 75 1.4× 49 1.2× 18 378
Tobías Martín Páez Spain 3 231 1.8× 80 1.1× 36 0.6× 116 2.1× 32 0.8× 3 380
Eva Wong Hong Kong 9 167 1.3× 38 0.5× 50 0.9× 59 1.1× 32 0.8× 25 361
Ryan Brown United States 8 217 1.6× 32 0.5× 18 0.3× 76 1.4× 40 1.0× 22 331
Yujin Lee United States 12 238 1.8× 47 0.7× 25 0.4× 88 1.6× 92 2.2× 33 399

Countries citing papers authored by Jun‐Ki Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Ki Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Ki Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Ki Lee. A scholar is included among the top collaborators of Jun‐Ki 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 Jun‐Ki Lee. Jun‐Ki Lee 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.
Lee, Hyo Jin, Jiwon Kim, Jun‐Ki Lee, et al.. (2024). Implantable Intraocular Fluorescence Sensor for Visualized Monitoring of Alzheimer's Disease. Advanced Functional Materials. 35(3). 2 indexed citations
2.
Lee, Jun‐Ki, Hyun‐Jin Kim, Ji Young Kwon, et al.. (2024). Proteomic analysis of CD29+ Müller cells reveals metabolic reprogramming in rabbit myopia model. Scientific Reports. 14(1). 24072–24072. 1 indexed citations
3.
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.
4.
Lee, Jun‐Ki, et al.. (2021). Exploration of the changes in the perceptions of medical students about cadaver dissections using metaphors. Journal of Taibah University Medical Sciences. 16(3). 307–317. 3 indexed citations
5.
6.
Lee, Jun‐Ki, et al.. (2018). Exploring Elementary School Students’ Image of Artificial Intelligence. Journal of Korean Elementary Science Education. 37(2). 126–146. 8 indexed citations
7.
Lee, Jun‐Ki, et al.. (2018). Rediscovering the Interest of Science Education: Focus on the Meaning and Value of Interest. Journal of The Korean Association For Science Education. 38(5). 705–720. 2 indexed citations
8.
9.
Ha, Minsu, et al.. (2017). Research Trends on Career Education in the Science Education Field from the Perspective of Social Network Analysis: Focusing on Domestic Journals. Korean Association For Learner-Centered Curriculum And Instruction. 17(6). 293–312. 5 indexed citations
10.
Ha, Minsu, et al.. (2017). High School Students' Perception of Artificial Intelligence : Focusing on Conceptual Understanding, Emotion and Risk Perception. Korean Association For Learner-Centered Curriculum And Instruction. 17(21). 289–312. 12 indexed citations
11.
Lee, Jun‐Ki, et al.. (2015). The Qualitative Case Study on Science Core School Teachers' Experiences of Reflective Practice. Korean Journal of Teacher Education. 31(2). 315–351. 1 indexed citations
12.
Lee, Jun‐Ki. (2012). Do the Brain Networks of Scientists Account for Their Superiority in Hypothesis-Generating?.. The International Journal of Environmental and Science Education. 7(1). 83–106. 4 indexed citations
13.
Lee, Jun‐Ki, et al.. (2010). The Development of the Brain-based Analysis Framework for the Evaluation of Teaching-Learning Program in Science. Journal of The Korean Association For Science Education. 30(5). 647–667. 1 indexed citations
14.
Lee, Jun‐Ki. (2009). Students' Salivary Cortisol level and Emotional intensity vary by teacher's teaching style in Secondary School Science Class. Journal of The Korean Association For Science Education. 29(7). 783–791. 1 indexed citations
15.
Lee, Jun‐Ki, et al.. (2009). Science Teachers' Brain activation and functional connectivity during scientific observation on the biological phenomena. Journal of The Korean Association For Science Education. 29(6). 730–740. 1 indexed citations
16.
Lee, Jun‐Ki, et al.. (2009). An Analysis of Meanings and Processes about Scientific Observation in the Science Education. Journal of The Korean Association For Science Education. 29(5). 531–540. 1 indexed citations
17.
Lee, Jun‐Ki, et al.. (2009). Brain activation pattern and functional connectivity network during classification on the living organisms. Journal of The Korean Association For Science Education. 29(7). 751–758. 1 indexed citations
18.
Lee, Jun‐Ki & Yong‐Ju Kwon. (2008). Types of Emotion during the Hypothesis-Generating and Hypothesis-Understanding Process on the Biological Phenomena. SECONDARY EDUCATION RESEARCH. 56(3). 359–394. 3 indexed citations
19.
Kwon, Yong‐Ju, et al.. (2007). Brain Activation in Generating Hypothesis about Biological Phenomena and the Processing of Mental Arithmetic: An fMRI Study. Journal of The Korean Association For Science Education. 27(1). 93–104. 3 indexed citations
20.
Lee, Jun‐Ki, Ahn-Heum Eom, & Woong Sun. (2002). Multiple Symbiotic Associations Found in the Roots ofBotrychium ternatum. Mycobiology. 30(3). 146–146. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Meghan Allen Breakdown of academic impact, for papers by Anne Forbes Breakdown of academic impact, for papers by Heui‐Baik Kim Breakdown of academic impact, for papers by Sarika Kewalramani Breakdown of academic impact, for papers by Jeong-Im Choi Breakdown of academic impact, for papers by Thomas Roberts Breakdown of academic impact, for papers by Tobías Martín Páez Breakdown of academic impact, for papers by Eva Wong Breakdown of academic impact, for papers by Ryan Brown Breakdown of academic impact, for papers by Yujin Lee
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