Jong Yun Lee

1.5k total citations
46 papers, 1.0k citations indexed

About

Jong Yun Lee is a scholar working on Artificial Intelligence, Health Information Management and Information Systems. According to data from OpenAlex, Jong Yun Lee has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Health Information Management and 13 papers in Information Systems. Recurrent topics in Jong Yun Lee's work include Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (8 papers) and Imbalanced Data Classification Techniques (5 papers). Jong Yun Lee is often cited by papers focused on Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (8 papers) and Imbalanced Data Classification Techniques (5 papers). Jong Yun Lee collaborates with scholars based in South Korea, China and Vietnam. Jong Yun Lee's co-authors include Muhammad Saqlain, Minghao Piao, Qasim Abbas, Cheng Jin, Jang‐Whan Bae, Keun Ho Ryu, Ho Sun Shon, Kwang Ho Park, Woo Suk Hwang and Yeon Woo Jeong and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Jong Yun Lee

40 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong Yun Lee South Korea 16 443 380 182 103 100 46 1.0k
Abdullah Lakhan Pakistan 26 80 0.2× 256 0.7× 479 2.6× 80 0.8× 213 2.1× 97 1.9k
Sarita Simaiya India 18 29 0.1× 125 0.3× 333 1.8× 151 1.5× 105 1.1× 88 1.2k
Behailu Negash Finland 6 43 0.1× 212 0.6× 141 0.8× 70 0.7× 349 3.5× 8 1.1k
S. Karthik India 17 38 0.1× 177 0.5× 198 1.1× 39 0.4× 113 1.1× 185 1.0k
Hani Alquhayz Saudi Arabia 17 32 0.1× 141 0.4× 318 1.7× 82 0.8× 130 1.3× 55 915
Zafer Al-Makhadmeh Saudi Arabia 18 27 0.1× 143 0.4× 296 1.6× 52 0.5× 139 1.4× 34 961
Roman Tkachenko Ukraine 18 60 0.1× 102 0.3× 281 1.5× 60 0.6× 77 0.8× 68 856
Ravinder Kumar India 16 22 0.0× 156 0.4× 357 2.0× 125 1.2× 170 1.7× 67 984
Shuxuan Xie China 10 104 0.2× 30 0.1× 147 0.8× 51 0.5× 62 0.6× 14 633
Ahmed Saeed AlGhamdi Saudi Arabia 16 46 0.1× 290 0.8× 154 0.8× 54 0.5× 76 0.8× 49 888

Countries citing papers authored by Jong Yun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jong Yun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jong Yun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jong Yun Lee. A scholar is included among the top collaborators of Jong Yun Lee 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 Yun Lee. Jong Yun Lee 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
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Lee, Jong Yun, et al.. (2024). Evaluating the Smart Technology Level of Water Purification Plants. American Water Works Association. 116(6). 50–63. 1 indexed citations
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Lee, Jong Yun, et al.. (2024). A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data. Frontiers in Cardiovascular Medicine. 11. 1276608–1276608. 4 indexed citations
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Lee, Jong Yun, et al.. (2023). A Voting Ensemble-based Model to Predict the Risk of Cardiovascular Disease in Ordinary People. 127–133. 1 indexed citations
7.
Saqlain, Muhammad, Sikandar Ali, & Jong Yun Lee. (2022). A Monte-Carlo tree search algorithm for the flexible job-shop scheduling in manufacturing systems. Flexible Services and Manufacturing Journal. 35(2). 548–571. 20 indexed citations
8.
Lee, Jong Yun, et al.. (2022). Deep learning-based prediction of heart failure rehospitalization during 6, 12, 24-month follow-ups in patients with acute myocardial infarction. Health Informatics Journal. 28(2). 1197586905–1197586905. 9 indexed citations
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Park, Kwang Ho, et al.. (2019). Reconstruction error based deep neural networks for coronary heart disease risk prediction. PLoS ONE. 14(12). e0225991–e0225991. 20 indexed citations
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Bae, Jang‐Whan, et al.. (2019). A machine learning–based 1-year mortality prediction model after hospital discharge for clinical patients with acute coronary syndrome. Health Informatics Journal. 26(2). 1289–1304. 45 indexed citations
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Kim, Sung-Yul & Jong Yun Lee. (2014). Development of a Curriculum for the Cultivating the Creative Gifted and Talented Children of Informatics. The Journal of Korean Association of Computer Education. 17(3). 25–39.
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Kim, Sung-Yul & Jong Yun Lee. (2013). Fact finding surveying adolescents's language and culture in online games and a countermeasure strategy. The Journal of Korean Association of Computer Education. 16(1). 33–42. 1 indexed citations
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Lee, Jong Yun, et al.. (2012). Analysis of creative problem solving literacy in problem-solving methods and procedures parts presented in informatics textbooks in middle schools. The Journal of Korean Association of Computer Education. 15(1). 1–11. 2 indexed citations
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Lee, Sun Young, et al.. (2009). A 9-state hidden Markov model using protein secondary structure information for protein fold recognition. Computers in Biology and Medicine. 39(6). 527–534. 11 indexed citations
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Jeong, Yeon Woo, Mohammad Shamim Hossein, Ji Hye Kim, et al.. (2007). Effects of insulin–transferrin–selenium in defined and porcine follicular fluid supplemented IVM media on porcine IVF and SCNT embryo production. Animal Reproduction Science. 106(1-2). 13–24. 47 indexed citations
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Lee, Jong Yun, et al.. (2006). Service Composition Techniques Using Data Mining for Ubiquitous Computing Environments. 6 indexed citations
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Lee, Dong Soon, et al.. (2006). Application of high throughput cell array technology to FISH: Investigation of the role of deletion of p16 gene in leukemias. Journal of Biotechnology. 127(3). 355–360. 12 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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