Mingon Kang

1.6k total citations · 1 hit paper
68 papers, 984 citations indexed

About

Mingon Kang is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Mingon Kang has authored 68 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 14 papers in Artificial Intelligence and 14 papers in Genetics. Recurrent topics in Mingon Kang's work include Bioinformatics and Genomic Networks (22 papers), Gene expression and cancer classification (21 papers) and Gene Regulatory Network Analysis (9 papers). Mingon Kang is often cited by papers focused on Bioinformatics and Genomic Networks (22 papers), Gene expression and cancer classification (21 papers) and Gene Regulatory Network Analysis (9 papers). Mingon Kang collaborates with scholars based in United States, South Korea and China. Mingon Kang's co-authors include Euiseong Ko, Tesfaye B. Mersha, Jie Hao, Young Soon Kim, Jung Hun Oh, Jean Gao, Stephen W. Lagakos, Tae-Kyung Kim, Hyun Min Koh and Chunyu Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Mingon Kang

63 papers receiving 963 citations

Hit Papers

A roadmap for multi-omics data integration using deep lea... 2021 2026 2022 2024 2021 50 100 150 200
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. A roadmap for multi-omics data integration using deep learning
    2021 213 citations Mingon Kang, Euiseong Ko et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingon Kang United States 17 457 246 176 118 77 68 984
Eric F. Lock United States 16 710 1.6× 133 0.5× 81 0.5× 164 1.4× 121 1.6× 70 1.4k
James Lowey United States 9 322 0.7× 249 1.0× 63 0.4× 82 0.7× 121 1.6× 12 837
Pingping Bing China 20 335 0.7× 167 0.7× 123 0.7× 199 1.7× 124 1.6× 35 1.0k
Abedalrhman Alkhateeb Canada 13 322 0.7× 161 0.7× 94 0.5× 112 0.9× 118 1.5× 46 669
Zhongxiao Li Saudi Arabia 11 401 0.9× 181 0.7× 153 0.9× 76 0.6× 27 0.4× 18 822
Pegah Khosravi United States 14 316 0.7× 439 1.8× 398 2.3× 126 1.1× 148 1.9× 25 1.3k
Giuseppe Tradigo Italy 16 398 0.9× 134 0.5× 84 0.5× 147 1.2× 63 0.8× 104 832
Neo Christopher Chung Poland 10 389 0.9× 114 0.5× 162 0.9× 73 0.6× 82 1.1× 17 887

Countries citing papers authored by Mingon Kang

Since Specialization
Citations

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

Fields of papers citing papers by Mingon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingon Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingon Kang. A scholar is included among the top collaborators of Mingon Kang 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 Mingon Kang. Mingon Kang 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.
Reed, Peter, Jay J. Shen, Mingon Kang, et al.. (2025). Race-Specific Impact of Telehealth Advance Care Planning on Cost of Dementia: A Cost Prediction Study. International Journal of Environmental Research and Public Health. 22(9). 1399–1399.
2.
Yang, Sumin, Jieun Seo, Jeong‐Hyeon Choi, et al.. (2025). Towards understanding cancer dormancy over strategic hitching up mechanisms to technologies. Molecular Cancer. 24(1). 47–47. 3 indexed citations
3.
Soh, Jae Seung, Jay J. Shen, Mingon Kang, et al.. (2024). Trends of emergency department visits for cannabinoid hyperemesis syndrome in Nevada: An interrupted time series analysis. PLoS ONE. 19(5). e0303205–e0303205. 6 indexed citations
4.
Kang, Mingon, et al.. (2023). Multi-layered self-attention mechanism for weakly supervised semantic segmentation. Computer Vision and Image Understanding. 239. 103886–103886. 6 indexed citations
5.
Yoo, Ji Won, Peter Reed, Jay J. Shen, et al.. (2023). Impact of Advance Care Planning on the Hospitalization-Associated Utilization and Cost of Patients with Alzheimer’s Disease-Related Disorders Receiving Primary Care via Telehealth in a Provider Shortage Area: A Quantitative Pre-Study. International Journal of Environmental Research and Public Health. 20(12). 6157–6157. 3 indexed citations
6.
Yang, Sumin, Sung‐Hyun Kim, Mingon Kang, & Jae‐Yeol Joo. (2023). Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges. Archives of Pharmacal Research. 46(6). 535–549. 6 indexed citations
7.
Kang, Mingon, et al.. (2022). Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3332–3342.
8.
Kim, Young Soon, et al.. (2022). Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data. PLoS ONE. 17(12). e0278570–e0278570. 5 indexed citations
9.
Kwon, Minho & Mingon Kang. (2022). Predicting Compressive Strength of Concrete Using Regression Model in Machine Learning. Journal of the Korean Society for Advanced Composite Structures. 13(4). 24–35.
10.
Kim, Sung-Hyun, Sumin Yang, Key‐Hwan Lim, et al.. (2021). Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening. Proceedings of the National Academy of Sciences. 118(3). 18 indexed citations
11.
Stone, W. H., et al.. (2020). Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection. IEEE Access. 8. 191602–191616. 4 indexed citations
12.
Hao, Jie, Young Soon Kim, Tae-Kyung Kim, & Mingon Kang. (2018). PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data. BMC Bioinformatics. 19(1). 510–510. 76 indexed citations
13.
Hao, Jie, et al.. (2018). Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis. 381–386. 24 indexed citations
14.
Kang, Mingon, Dong‐Hyun Kim, Jean Gao, et al.. (2017). Integration of multi-omics data for integrative gene regulatory network inference. International Journal of Data Mining and Bioinformatics. 18(3). 223–223. 21 indexed citations
15.
Kim, Dongchul, Mingon Kang, Ashis Kumer Biswas, Chunyu Liu, & Jean Gao. (2016). Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders. BMC Medical Genomics. 9(S2). 50–50. 5 indexed citations
16.
Kang, Mingon, Ju Young Park, Dongchul Kim, et al.. (2016). Multi-Block Bipartite Graph for Integrative Genomic Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(6). 1350–1358. 4 indexed citations
17.
Park, Juyoung, Mingon Kang, Jean Gao, Younghoon Kim, & Kyungtae Kang. (2016). Cascade Classification with Adaptive Feature Extraction for Arrhythmia Detection. Journal of Medical Systems. 41(1). 11–11. 16 indexed citations
18.
Kim, Dong-Chul, Mingon Kang, Ashis Kumer Biswas, Chunyu Liu, & Jean Gao. (2015). Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders. 145–150. 1 indexed citations
19.
Biswas, Ashis Kumer, Mingon Kang, Dongchul Kim, et al.. (2015). Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization. Network Modeling Analysis in Health Informatics and Bioinformatics. 4(1). 11 indexed citations
20.
Fong, K L, Harry Alcorn, Huajun Liang, et al.. (2008). (234) CG100649, a novel dual-acting COX-2 and carbonic anhydrase inhibitor: Multi-dose pharmacokinetics and safety evaluation in healthy male and female subjects. Journal of Pain. 9(4). 34–34. 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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