Dong‐Yun Kim

1.9k total citations
36 papers, 378 citations indexed

About

Dong‐Yun Kim is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dong‐Yun Kim has authored 36 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dong‐Yun Kim's work include Heart Failure Treatment and Management (5 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Inference (5 papers). Dong‐Yun Kim is often cited by papers focused on Heart Failure Treatment and Management (5 papers), Statistical Methods in Clinical Trials (5 papers) and Statistical Methods and Inference (5 papers). Dong‐Yun Kim collaborates with scholars based in United States, South Africa and China. Dong‐Yun Kim's co-authors include Eric P. Smith, Yuehua Cui, Jun Zhu, Xinwei Deng, Junseok Chae, Ang Chen, Ning Wu, Jianming Liang, Han Li and Matthew R. Williams and has published in prestigious journals such as Circulation, Blood and Bioinformatics.

In The Last Decade

Dong‐Yun Kim

30 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Yun Kim United States 11 49 44 43 43 40 36 378
Meilian Wang China 15 78 1.6× 94 2.1× 10 0.2× 53 1.2× 16 0.4× 51 664
Julia Nilsson Sweden 12 44 0.9× 6 0.1× 65 1.5× 35 0.8× 17 0.4× 21 558
Sen Yang China 9 39 0.8× 28 0.6× 5 0.1× 72 1.7× 49 1.2× 35 371
Xuan Xu China 16 21 0.4× 14 0.3× 19 0.4× 60 1.4× 29 0.7× 94 733
Huilong Li China 16 52 1.1× 63 1.4× 38 0.9× 17 0.4× 2 0.1× 60 634
Yuji Hara Japan 13 234 4.8× 16 0.4× 57 1.3× 47 1.1× 13 0.3× 81 661
Shulin Zhang China 14 31 0.6× 92 2.1× 10 0.2× 51 1.2× 4 0.1× 50 625
Tiina Lecklin Finland 11 47 1.0× 4 0.1× 13 0.3× 97 2.3× 40 1.0× 14 402
Wenduo Zhang China 14 16 0.3× 67 1.5× 92 2.1× 24 0.6× 4 0.1× 53 538

Countries citing papers authored by Dong‐Yun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Yun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong‐Yun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Yun Kim. A scholar is included among the top collaborators of Dong‐Yun 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 Dong‐Yun Kim. Dong‐Yun 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.
Wu, Yanhong, Wei Biao Wu, & Dong‐Yun Kim. (2025). Spectral Norm of Exponentially Weighted Moving Sample Covariance Matrix and Its Application to Sequential Sparse Signal Detection. Journal of Statistical Theory and Practice. 19(2).
2.
Kittipibul, Veraprapas, Robert J. Mentz, Robert M. Clare, et al.. (2024). On-Treatment Analysis of Torsemide Versus Furosemide for Patients Hospitalized for Heart Failure: A Post-Hoc Analysis of TRANSFORM-HF. European Journal of Heart Failure. 26(7). 1518–1523. 1 indexed citations
3.
Martens, Pieter, Stephen J. Greene, Robert J. Mentz, et al.. (2024). Impact of Baseline Kidney Dysfunction on Oral Diuretic Efficacy Following Hospitalization for Heart Failure – Insights from TRANSFORM-HF. European Journal of Heart Failure. 26(5). 1242–1250. 1 indexed citations
4.
Wu, Yanhong, Wei Biao Wu, & Dong‐Yun Kim. (2024). A comparative study on sequential detection of random mean change in multivariate normal data stream. Sequential Analysis. 43(4). 477–496. 1 indexed citations
5.
Greene, Stephen J., Eric J. Velazquez, Kevin J. Anstrom, et al.. (2023). Effect of Torsemide Versus Furosemide on Symptoms and Quality of Life Among Patients Hospitalized for Heart Failure: The TRANSFORM-HF Randomized Clinical Trial. Circulation. 148(2). 124–134. 10 indexed citations
6.
Lee, Ji Hyun, Claudia Calcagno, Irwin M. Feuerstein, et al.. (2023). Magnetic Resonance Imaging for Monitoring of Hepatic Disease Induced by Ebola Virus: a Nonhuman Primate Proof-of-Concept Study. Microbiology Spectrum. 11(3). e0353822–e0353822.
7.
Eisenstein, Eric L., Shelly Sapp, Tina Harding, et al.. (2022). Ascertaining Death Events in a Pragmatic Clinical Trial: Insights From the TRANSFORM-HF Trial. Journal of Cardiac Failure. 28(10). 1563–1567. 3 indexed citations
8.
9.
Greene, Stephen J., Eric J. Velazquez, Kevin J. Anstrom, et al.. (2021). Pragmatic Design of Randomized Clinical Trials for Heart Failure. JACC Heart Failure. 9(5). 325–335. 32 indexed citations
10.
Han, MeiLan K., Wen Ye, Dong‐Yun Kim, & Prescott G. Woodruff. (2020). Design of the Redefining Therapy in Early COPD Study. Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation. 7(4). 382–389. 8 indexed citations
11.
Chen, Ang, et al.. (2020). Machine-learning enabled wireless wearable sensors to study individuality of respiratory behaviors. Biosensors and Bioelectronics. 173. 112799–112799. 44 indexed citations
12.
Kim, Dong‐Yun & Joon‐Seok Kim. (2019). Collaboration and SCM performance in a smart environment: Focused on O2O startup companies. 19(2). 11–23.
13.
Geller, Nancy L., et al.. (2015). Smart Technology in Lung Disease Clinical Trials. CHEST Journal. 149(1). 22–26. 8 indexed citations
14.
Ahn, Jung Hoon, et al.. (2014). Rehabilitation with osteopathic manipulative treatment after lumbar disc surgery: A randomised, controlled pilot study. International journal of osteopathic medicine. 18(3). 181–188. 10 indexed citations
15.
Li, Han, Xinwei Deng, Dong‐Yun Kim, & Eric P. Smith. (2014). Modeling maximum daily temperature using a varying coefficient regression model. Water Resources Research. 50(4). 3073–3087. 25 indexed citations
16.
Clements, Nicolle, Sanat K. Sarkar, Zhigen Zhao, & Dong‐Yun Kim. (2014). Applying multiple testing procedures to detect change in East African vegetation. The Annals of Applied Statistics. 8(1). 12 indexed citations
17.
Kim, Dong‐Yun, et al.. (2014). Measuring Similarity Between Movies Based on Sentiment of Tweets. Journal of Korean institute of intelligent systems. 24(3). 292–297. 1 indexed citations
18.
Kim, Dong‐Yun, et al.. (2013). A Study on the Retailer`s Global Expansion Strategy and Supply Chain Management : Focus on the Metro Group. Journal of Distribution Science. 11(12). 25–37. 1 indexed citations
19.
Kim, Dong‐Yun, et al.. (2013). A Study on the Retailer`s Global Expansion Strategy and Supply Chain Management : Focus on the Metro Group. Journal of Distribution Science. 11(12). 25–37. 1 indexed citations
20.
Kim, Dong‐Yun, et al.. (2010). Development of an Aerial Precision Forecasting Techniques for the Pine Wilt Disease Damaged Area Based on GIS and GPS. Journal of the Korean Association of Geographic Information Studies. 13(1). 28–34. 5 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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