Kwihoon Kim

469 total citations
50 papers, 328 citations indexed

About

Kwihoon Kim is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Kwihoon Kim has authored 50 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 21 papers in Information Systems and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Kwihoon Kim's work include Education and Learning Interventions (12 papers), Educational Systems and Policies (9 papers) and Educational Research and Pedagogy (8 papers). Kwihoon Kim is often cited by papers focused on Education and Learning Interventions (12 papers), Educational Systems and Policies (9 papers) and Educational Research and Pedagogy (8 papers). Kwihoon Kim collaborates with scholars based in South Korea, Canada and Iran. Kwihoon Kim's co-authors include Joohyung Lee, Youn‐Hee Han, Hyun-Kyo Lim, Yong-Geun Hong, Ju-Bong Kim, Seong Gon Choi, Jun Kyun Choi, Joohyung Lee, Tae-Young Kim and Won Ryu and has published in prestigious journals such as Scientific Reports, Sensors and Future Generation Computer Systems.

In The Last Decade

Kwihoon Kim

30 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwihoon Kim South Korea 7 185 131 126 43 32 50 328
Tong Tang China 9 127 0.7× 69 0.5× 69 0.5× 41 1.0× 37 1.2× 42 268
Jian-Jhih Kuo Taiwan 11 247 1.3× 81 0.6× 114 0.9× 28 0.7× 78 2.4× 56 356
Nadine Abbas Lebanon 10 231 1.2× 66 0.5× 147 1.2× 25 0.6× 30 0.9× 30 333
Yacine Rebahi Germany 12 333 1.8× 126 1.0× 161 1.3× 20 0.5× 97 3.0× 44 436
Alok Kumar India 12 263 1.4× 62 0.5× 258 2.0× 27 0.6× 21 0.7× 51 425
S. Chithra India 10 161 0.9× 84 0.6× 65 0.5× 30 0.7× 77 2.4× 30 295
Bassem Ouni United Arab Emirates 7 88 0.5× 131 1.0× 75 0.6× 25 0.6× 44 1.4× 34 285
Jingxiao Ma China 8 119 0.6× 86 0.7× 209 1.7× 18 0.4× 23 0.7× 27 287
Jiandian Zeng China 7 167 0.9× 113 0.9× 75 0.6× 19 0.4× 70 2.2× 11 291
Vandana Rohokale Denmark 7 208 1.1× 49 0.4× 98 0.8× 22 0.5× 105 3.3× 19 302

Countries citing papers authored by Kwihoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kwihoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwihoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kwihoon Kim. A scholar is included among the top collaborators of Kwihoon Kim 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 Kwihoon Kim. Kwihoon Kim 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.
Kim, Seul-Ki, et al.. (2025). Development and effectiveness verification of AI education data sets based on constructivist learning principles for enhancing AI literacy. Scientific Reports. 15(1). 10725–10725. 2 indexed citations
2.
Kim, Kwihoon, et al.. (2024). A Study on the Development and Validation of Generative AI Literacy Measurement Tool for Elementary and Secondary Teachers. Korean Association For Learner-Centered Curriculum And Instruction. 24(22). 697–708.
3.
Kim, Kwihoon, et al.. (2024). Development of Metaverse-Based Career Program Contents for Vocational High School Students. The Journal of Korean Association of Computer Education. 27(8). 75–84.
4.
Kim, Kwihoon, et al.. (2024). A Study on the Perception of Elementary and Secondary Teachers Use Generative AI in the Classes. Korean Association For Learner-Centered Curriculum And Instruction. 24(12). 617–626. 1 indexed citations
5.
6.
7.
Lee, Juyoung, et al.. (2023). Development of Teaching and Learning Model for Systematic Convergence of Artificial Intelligence and Science Subjects. Korean Association For Learner-Centered Curriculum And Instruction. 23(22). 679–693.
8.
Kim, Jiyun & Kwihoon Kim. (2023). Development and Application of Capstone Design Subject in Artificial Intelligence Convergence Education Major. Korean Association For Learner-Centered Curriculum And Instruction. 23(24). 159–171. 1 indexed citations
9.
Kim, Jiyun, et al.. (2022). The Educational Effect of Novel Engineering on Artificial Intelligence Convergence Liberal Arts Course for Pre-service Teachers. Journal of the Korean Association of Information Education. 26(6). 507–515. 3 indexed citations
10.
Kim, Jiyun & Kwihoon Kim. (2022). A Case Study on the Development of Orientation Program based on Stages of Concern about Artificial Intelligence Convergence Education for Graduate students. Korean Association For Learner-Centered Curriculum And Instruction. 22(19). 131–147. 1 indexed citations
11.
Lee, Juyoung, et al.. (2022). Content System and Teaching/Learning Case Study for Systematic Convergence of Artificial Intelligence and Science Subjects. Korean Association For Learner-Centered Curriculum And Instruction. 22(13). 623–640. 1 indexed citations
12.
Kim, Kwihoon, et al.. (2022). Development of novel-engineering-based maker education instructional model. Education and Information Technologies. 27(5). 7327–7371. 18 indexed citations
13.
Kim, Kwihoon, et al.. (2021). Development of Artificial Intelligence Literacy Education Program for Teachers and Verification of the Effectiveness of Interest in Artificial Intelligence Convergence Education. Journal of the Korea Society of Computer and Information. 26(8). 13–21. 2 indexed citations
14.
Kim, Kwihoon & Ji‐Hoon Bae. (2020). Important Parameter Optimized Flow-based Transfer Learning Technique Supporting Heterogeneous Teacher Network Based on Deep Learning. The Journal of Korean Institute of Information Technology. 18(3). 21–29. 2 indexed citations
15.
Lim, Hyun-Kyo, et al.. (2019). Packet-based Network Traffic Classification Using Deep Learning. 46–51. 72 indexed citations
16.
Bae, Ji‐Hoon, et al.. (2017). Performance Analysis of Hint-KD Training Approach for the Teacher-Student Framework Using Deep Residual Networks. Journal of the Institute of Electronics Engineers of Korea. 54(5). 35–41. 1 indexed citations
17.
Kim, Myungchul, et al.. (2015). An IP mobility management framework based on handover type differentiation and distributed location management. International Journal of Applied Engineering Research. 10(13). 33583–33586.
18.
Kim, Kwihoon, et al.. (2010). Implementation for federated Single Sign-on based on network identity. 1–3. 2 indexed citations
19.
Kim, Kwihoon, et al.. (2007). Bundled authentication scheme of fixed and mobile terminal between both service and access network in NGN environment. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1306–1307. 1 indexed citations
20.
Kim, Kwihoon, Hyun‐Woo Lee, & Won Ryu. (2006). Design and development of the intelligent SSW and SIP application server system. 2006 8th International Conference Advanced Communication Technology. 3264. 4 pp.–2066.

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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