Jong W. Kim

1.0k total citations · 1 hit paper
18 papers, 747 citations indexed

About

Jong W. Kim is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Networks and Communications. According to data from OpenAlex, Jong W. Kim has authored 18 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Human-Computer Interaction and 2 papers in Computer Networks and Communications. Recurrent topics in Jong W. Kim's work include Intelligent Tutoring Systems and Adaptive Learning (4 papers), Visual and Cognitive Learning Processes (2 papers) and Personal Information Management and User Behavior (2 papers). Jong W. Kim is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (4 papers), Visual and Cognitive Learning Processes (2 papers) and Personal Information Management and User Behavior (2 papers). Jong W. Kim collaborates with scholars based in United States, South Korea and United Kingdom. Jong W. Kim's co-authors include Frank E. Ritter, Diane D. Shao, David E. Root, Tyler Jacks, Joseph Rosenbluh, Thomas M. Roberts, William C. Hahn, Anna C. Schinzel, Federica Piccioni and Wen Xue and has published in prestigious journals such as Cell, Cancer Research and Cognitive Science.

In The Last Decade

Jong W. Kim

17 papers receiving 732 citations

Hit Papers

KRAS and YAP1 Converge to Regulate EMT and Tumor Survival 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. KRAS and YAP1 Converge to Regulate EMT and Tumor Survival
    2014 573 citations Diane D. Shao, Wen Xue et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong W. Kim United States 7 373 366 185 96 42 18 747
Lisa M.J. Lee United States 11 226 0.6× 140 0.4× 156 0.8× 93 1.0× 19 0.5× 21 584
Zorica Scuric United States 11 272 0.7× 76 0.2× 83 0.4× 57 0.6× 79 1.9× 14 525
Kristy J. Wilson United States 11 290 0.8× 51 0.1× 210 1.1× 39 0.4× 65 1.5× 18 568
Clement Lee United States 14 662 1.8× 176 0.5× 89 0.5× 79 0.8× 24 0.6× 37 955
Helen Caldwell United Kingdom 15 235 0.6× 113 0.3× 132 0.7× 95 1.0× 39 0.9× 46 974
Dawn M. Kilkenny Canada 16 418 1.1× 116 0.3× 89 0.5× 53 0.6× 29 0.7× 35 711
Guosen Wang China 9 201 0.5× 55 0.2× 138 0.7× 84 0.9× 44 1.0× 13 372
Xiaoning Chen China 18 613 1.6× 44 0.1× 199 1.1× 89 0.9× 77 1.8× 40 1.3k
Menglin Xu China 15 268 0.7× 30 0.1× 119 0.6× 116 1.2× 90 2.1× 62 631
Chendi Li China 12 323 0.9× 44 0.1× 146 0.8× 62 0.6× 83 2.0× 28 837

Countries citing papers authored by Jong W. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong W. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jong W. Kim

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

All Works

18 of 18 papers shown
1.
Lee, Choung Ah, et al.. (2025). Effectiveness of Chest Compression-Synchronized Ventilation in Patients with Cardiac Arrest. Journal of Clinical Medicine. 14(7). 2394–2394. 3 indexed citations
2.
Kim, Jong W., et al.. (2018). Towards a physio-cognitive model of deep slow-breathing.. Cognitive Science. 2 indexed citations
3.
Kim, Jong W., et al.. (2018). Towards using a physio-cognitive model in tutoring for psychomotor tasks.. Bucknell Digital Commons (Bucknell University). 1 indexed citations
4.
Kim, Jong W. & Frank E. Ritter. (2016). Microgenetic analysis of learning a task: ITS implications to cognitive modeling. Journal of International Crisis and Risk Communication Research. 21–26. 1 indexed citations
5.
Stewart, Michelle L., Pablo Tamayo, Andrew J. Wilson, et al.. (2015). KRAS Genomic Status Predicts the Sensitivity of Ovarian Cancer Cells to Decitabine. Cancer Research. 75(14). 2897–2906. 31 indexed citations
6.
Kim, Jong W., et al.. (2015). Predicting User Performance and Learning in Human--Computer Interaction with the Herbal Compiler. ACM Transactions on Computer-Human Interaction. 22(5). 1–26. 10 indexed citations
7.
Shao, Diane D., Wen Xue, Elsa Krall, et al.. (2014). KRAS and YAP1 Converge to Regulate EMT and Tumor Survival. Cell. 158(1). 171–184. 573 indexed citations breakdown →
8.
Ritter, Frank E., et al.. (2013). Learning and Retention. Oxford University Press eBooks. 19 indexed citations
9.
Yeum, Jeong Hyun, Jong W. Kim, Jin Hyun Choi, et al.. (2013). Effect of disperse dye on the preparation of poly(vinyl acetate)/poly(vinyl alcohol)/disperse dye composite microspheres. Journal of Composite Materials. 48(18). 2265–2271. 1 indexed citations
10.
Ritter, Frank E., et al.. (2013). Declarative to Procedural Tutors: A Family of Cognitive Architecture-Based Tutors. Journal of International Crisis and Risk Communication Research. 108–113. 4 indexed citations
11.
Ritter, Frank E., Jong W. Kim, Jonathan H. Morgan, & Richard A. Carlson. (2012). How to Run Experiments: A Practical Guide to Research with Human Participants.
12.
Kim, Jong W.. (2011). Teamwork in MultiAgent Systems: A Formal Approach (Wiley Series in Agent Technology) by Barbara Maria Dunin-Keplicz and Rineke Verbrugge .. Journal of Artificial Societies and Social Simulation. 14. 7 indexed citations
13.
Kim, Jong W., Frank E. Ritter, & Richard J. Koubek. (2011). An integrated theory for improved skill acquisition and retention in the three stages of learning. Theoretical Issues in Ergonomics Science. 14(1). 22–37. 78 indexed citations
14.
Kim, Jong W., et al.. (2010). Building large learning models with herbal. Journal of International Crisis and Risk Communication Research. 187–192. 2 indexed citations
15.
Kim, Jong W. & Frank E. Ritter. (2007). Automatically recording keystrokes in public clusters with RUI: issues and sample answers. eScholarship (California Digital Library). 29(29). 4 indexed citations
16.
Kim, Jong W., Richard J. Koubek, & Frank E. Ritter. (2007). Investigation of procedural skills degradation from different modalities. 39(4). 138–43. 8 indexed citations
17.
Candan, K. Selçuk, et al.. (2006). FMware: middleware for efficient filtering and matching of XML messages with local data. 301–321. 2 indexed citations
18.
Candan, K. Selçuk, et al.. (2006). Clustering and indexing of experience sequences for popularity-driven recommendations. 92. 75–84. 1 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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