Meen Chul Kim

1.8k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

Meen Chul Kim is a scholar working on Information Systems, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Meen Chul Kim has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Meen Chul Kim's work include scientometrics and bibliometrics research (5 papers), Complex Network Analysis Techniques (4 papers) and Topic Modeling (3 papers). Meen Chul Kim is often cited by papers focused on scientometrics and bibliometrics research (5 papers), Complex Network Analysis Techniques (4 papers) and Topic Modeling (3 papers). Meen Chul Kim collaborates with scholars based in United States, South Korea and Ethiopia. Meen Chul Kim's co-authors include Chaomei Chen, Yongjun Zhu, Min Song, Yoo Kyung Jeong, Fei Wang, Yuanyuan Feng, Erjia Yan, Jennifer A. Manganello, Philip M. Massey and Andrea Forte and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Neuro-Oncology.

In The Last Decade

Meen Chul Kim

27 papers receiving 1.2k citations

Hit Papers

Emerging trends and new developments in regenerative medi... 2014 2026 2018 2022 2014 200 400 600
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. Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014)
    2014 622 citations Chaomei Chen, Meen Chul Kim et al. Expert Opinion on Biological Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meen Chul Kim United States 11 144 122 122 95 79 28 1.2k
Shengbo Liu China 8 163 1.1× 151 1.2× 96 0.8× 85 0.9× 73 0.9× 20 1.3k
Zhigang Hu China 14 131 0.9× 186 1.5× 104 0.9× 110 1.2× 103 1.3× 45 1.6k
Le Wang China 15 114 0.8× 119 1.0× 136 1.1× 75 0.8× 93 1.2× 76 1.0k
Hongxia Li China 18 255 1.8× 76 0.6× 83 0.7× 103 1.1× 85 1.1× 155 1.8k
José A. Moral-Muñoz Spain 25 138 1.0× 70 0.6× 217 1.8× 180 1.9× 128 1.6× 98 2.8k
Li Luo China 19 131 0.9× 71 0.6× 83 0.7× 62 0.7× 42 0.5× 90 1.4k
Amit Keshri India 8 67 0.5× 60 0.5× 121 1.0× 67 0.7× 64 0.8× 47 1.7k
Matthias Braun Germany 16 143 1.0× 46 0.4× 172 1.4× 97 1.0× 61 0.8× 91 1.2k
Yonghong Chen China 15 44 0.3× 54 0.4× 130 1.1× 47 0.5× 74 0.9× 37 1.2k
Antonio Perianes‐Rodríguez Spain 14 100 0.7× 68 0.6× 127 1.0× 183 1.9× 45 0.6× 45 1.5k

Countries citing papers authored by Meen Chul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Meen Chul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meen Chul Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Meen Chul Kim. A scholar is included among the top collaborators of Meen Chul 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 Meen Chul Kim. Meen Chul 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.
Kazerooni, Anahita Fathi, Neda Khalili, Ariana Familiar, et al.. (2024). IMG-18. DIFFERENTIAL DIAGNOSIS OF POSTERIOR FOSSA TUMORS USING RADIOMICS; A FIRST-LINE DIAGNOSTIC STEP REQUIRED FOR DOWNSTREAM ANALYSES. Neuro-Oncology. 26(Supplement_4). 0–0. 1 indexed citations
2.
Haldar, Debanjan, Anahita Fathi Kazerooni, Ariana Familiar, et al.. (2022). Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers. Neoplasia. 36. 100869–100869. 21 indexed citations
3.
Zhu, Yongjun, Donghun Kim, Erjia Yan, Meen Chul Kim, & Guanqiu Qi. (2021). Analyzing China’s research collaboration with the United States in high-impact and high-technology research. Quantitative Science Studies. 2(1). 363–375. 10 indexed citations
4.
Kim, Meen Chul, et al.. (2020). Mapping scientific landscapes in UMLS research: a scientometric review. Journal of the American Medical Informatics Association. 27(10). 1612–1624. 17 indexed citations
5.
Wescott, Annie, Bailey Farrow, Allison P. Heath, et al.. (2020). Translational Personas and Hospital Library Services. Journal of Hospital Librarianship. 20(3). 204–216. 1 indexed citations
6.
Wescott, Annie, Bailey Farrow, Allison P. Heath, et al.. (2020). Personas for the translational workforce. SHILAP Revista de lepidopterología. 4(4). 286–293. 11 indexed citations
7.
Wescott, Annie, Bailey Farrow, Meen Chul Kim, et al.. (2019). Personas user guidebook. 1 indexed citations
8.
Kim, Meen Chul, et al.. (2019). Understanding Learning Curves and Trajectories in CSS Layout. 504–510. 1 indexed citations
9.
Zhu, Yongjun, Meen Chul Kim, & Erjia Yan. (2018). Evaluating interactive bibliographic information retrieval systems: A user‐centered approach. Proceedings of the Association for Information Science and Technology. 55(1). 628–637. 2 indexed citations
10.
Zhu, Yongjun, Meen Chul Kim, & Chaomei Chen. (2017). An investigation of the intellectual structure of opinion mining research. Information Research. 22(1). 18 indexed citations
11.
Forte, Andrea, Nazanin Andalibi, Tim Gorichanaz, et al.. (2017). Information Fortification. 83–92. 7 indexed citations
12.
Massey, Philip M., et al.. (2017). Visualizing Patterns and Trends of 25 Years of Published Health Literacy Research. HLRP Health Literacy Research and Practice. 1(4). e182–e191. 13 indexed citations
13.
Park, Thomas, et al.. (2016). Reading Hierarchies in Code. 302–307. 5 indexed citations
14.
Kim, Meen Chul, Yuanyuan Feng, Yongjun Zhu, & Qing Ping. (2015). Quantitative exploration into the diffusion process of creative ideas in economics: Nobel prize laureates. Proceedings of the Association for Information Science and Technology. 52(1). 1–4. 1 indexed citations
15.
Kim, Meen Chul & Chaomei Chen. (2015). A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics. 104(1). 239–263. 140 indexed citations
16.
Kim, Meen Chul, Yoo Kyung Jeong, & Min Song. (2014). Investigating the integrated landscape of the intellectual topology of bioinformatics. Scientometrics. 101(1). 309–335. 8 indexed citations
17.
Chen, Chaomei, et al.. (2014). Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014). Expert Opinion on Biological Therapy. 14(9). 1295–1317. 622 indexed citations breakdown →
18.
Yang, Christopher C., Simon Lin, Meen Chul Kim, & Ling Jiang. (2014). ACTONNECT: A Platform to Support Patients and Researchers Collaboration. 191. 369–369. 2 indexed citations
19.
Kim, Su Yeon, et al.. (2013). Investigation into the existence of the indexer effect in key phrase extraction. Information Research. 18(4). 2 indexed citations
20.
Kim, Meen Chul, et al.. (2013). Automatic Classification of Malicious Usage on Twitter. Journal of the Korean Society for Library and Information Science. 47(1). 269–286. 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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