Soohwan Kim

642 total citations
64 papers, 330 citations indexed

About

Soohwan Kim is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Soohwan Kim has authored 64 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 15 papers in Computer Vision and Pattern Recognition and 14 papers in Aerospace Engineering. Recurrent topics in Soohwan Kim's work include Robotics and Sensor-Based Localization (14 papers), Educational Research and Pedagogy (12 papers) and Education and Learning Interventions (11 papers). Soohwan Kim is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Educational Research and Pedagogy (12 papers) and Education and Learning Interventions (11 papers). Soohwan Kim collaborates with scholars based in South Korea, Australia and United States. Soohwan Kim's co-authors include Jonghyuk Kim, Sung-Kee Park, Jonghyuk Kim, Minkyoung Kim, Hyeoncheol Kim, Mignon Park, Han Sung Kim, Min-Jeong Lee, Dong Hwan Kim and Won Jong Kim and has published in prestigious journals such as Cancer Research, Radiology and IEEE Access.

In The Last Decade

Soohwan Kim

49 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soohwan Kim South Korea	11	145	127	66	45	37	64	330
Amy Briggs United States	12	131 0.9×	186 1.5×	34 0.5×	25 0.6×	119 3.2×	33	398
Deepan Lobo United States	9	74 0.5×	49 0.4×	34 0.5×	37 0.8×	29 0.8×	13	255
Yuezhou Wu China	9	56 0.4×	70 0.6×	157 2.4×	45 1.0×	41 1.1×	36	336
Lei Niu China	9	33 0.2×	42 0.3×	74 1.1×	17 0.4×	15 0.4×	51	261
Ramón Galán Spain	11	64 0.4×	69 0.5×	100 1.5×	5 0.1×	15 0.4×	30	295
Gongjin Lan China	10	49 0.3×	108 0.9×	99 1.5×	6 0.1×	8 0.2×	27	305
Pekka Peltola United Kingdom	8	102 0.7×	67 0.5×	45 0.7×	26 0.6×	22 0.6×	20	336
Raymond Sheh Australia	10	80 0.6×	87 0.7×	81 1.2×	10 0.2×	5 0.1×	35	296
Varun Ravi Kumar India	11	56 0.4×	150 1.2×	90 1.4×	23 0.5×	5 0.1×	22	306
Ayman Al‐Kababji Qatar	8	56 0.4×	45 0.4×	61 0.9×	55 1.2×	4 0.1×	11	331

Countries citing papers authored by Soohwan Kim

Since Specialization

Citations

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

Fields of papers citing papers by Soohwan Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soohwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Soohwan Kim. A scholar is included among the top collaborators of Soohwan 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 Soohwan Kim. Soohwan Kim 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:

20 of 20 papers shown

Kim, Soohwan, et al.. (2025). Analysis of YouTube Makeup Tutorial Thumbnails: Focusing on Most-viewed Videos. Fashion & Textile Research Journal. 27(1). 88–95.

Kim, Soohwan, et al.. (2024). Decoding Urban Dynamics: Contextual Insights from Human Meta-Mobility Patterns. Systems. 12(8). 313–313.

Kim, Soohwan & Minkyoung Kim. (2022). Tutorial on Complex Numbers and Quaternions for Rotations. Journal of Institute of Control Robotics and Systems. 28(3). 242–253. 2 indexed citations

Kim, Soohwan, et al.. (2022). An Investigation for Driving Behavior on the On-Ramp Merging Section in Urban Underground Roads Using a Driving Simulator. The Journal of The Korea Institute of Intelligent Transport Systems. 21(6). 97–114. 1 indexed citations

Kim, Soohwan, Dong Suk Kim, Jae Seung Soh, et al.. (2021). Clinical characteristics and prognosis of elderly patients with colorectal cancer. Medicine. 100(7). e24609–e24609. 6 indexed citations

Kim, Soohwan, et al.. (2021). Open-source toolkit for end-to-end Korean speech recognition. Software Impacts. 7. 100054–100054. 3 indexed citations

Kim, Soohwan, et al.. (2020). Review on Artificial Intelligence Education for K-12 Students and Teachers. The Journal of Korean Association of Computer Education. 23(4). 1–11. 17 indexed citations

Kim, Soohwan, et al.. (2020). Development of Debugging Tasks and Tool for Process-centered Assessment on Software Education. The Journal of Korean Association of Computer Education. 23(4). 61–68. 1 indexed citations

Kim, Soohwan, et al.. (2018). Complementary Perception for Handheld SLAM. IEEE Robotics and Automation Letters. 3(2). 1104–1111. 16 indexed citations

10.

Lee, Hyun‐Sook, et al.. (2017). Development of evaluation factors for SW education in elementary and secondary schools. The Journal of Korean Association of Computer Education. 20(6). 47–59. 1 indexed citations

11.

Kim, Soohwan. (2015). Development of Scratch Code Analysis System for Assessment about Concepts of Computational Thinking. The Journal of Korean Association of Computer Education. 18(6). 13–22. 1 indexed citations

12.

Kim, Soohwan & Jonghyuk Kim. (2015). Hierarchical Gaussian Processes for Robust and Accurate Map Building. ANU Open Research (Australian National University). 3 indexed citations

13.

Kim, Soohwan, et al.. (2015). Analysis of Art and Humanity Major Learners’ Features in Programming Class. The Journal of Korean Association of Computer Education. 18(3). 25–35. 4 indexed citations

14.

Kim, Soohwan. (2015). Analysis of Scratch code for Student Assessment about Computational Thinking Capability. The Journal of Korean Association of Computer Education. 18(5). 25–34. 1 indexed citations

15.

Kim, Soohwan. (2015). Analysis of Non-Computer Majors’ Difficulties in Computational Thinking Education. The Journal of Korean Association of Computer Education. 18(3). 49–57. 10 indexed citations

16.

Kim, Soohwan & Jonghyuk Kim. (2014). Recursive Bayesian Updates for Occupancy Mapping and Surface Reconstruction. ANU Open Research (Australian National University). 13 indexed citations

17.

Kim, Soohwan, et al.. (2014). A Perception on SW Education of Students with Scratch-Day. Journal of the Korean Association of Information Education. 18(4). 461–470. 2 indexed citations

18.

Kim, Soohwan, et al.. (2011). Analyzing the Effectiveness of Discussion Learning using the Technology Acceptance Model on Social Networking Service. Journal of the Korean Association of Information Education. 15(4). 571–578. 2 indexed citations

19.

Kim, Soohwan, et al.. (2011). Analysis of Programming Processes Through Novices' Thinking Aloud in Computational Literacy Education. The Journal of Korean Association of Computer Education. 14(1). 13–21. 3 indexed citations

20.

Kim, Soohwan, et al.. (2010). The Development of the Game Addiction Remedy Program based on Scratch Programming. Journal of the Korean Association of Information Education. 14(1). 61–68. 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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