Dongchul Kim

1.6k total citations
42 papers, 931 citations indexed

About

Dongchul Kim is a scholar working on Atmospheric Science, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Dongchul Kim has authored 42 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 12 papers in Molecular Biology. Recurrent topics in Dongchul Kim's work include Atmospheric chemistry and aerosols (25 papers), Atmospheric aerosols and clouds (23 papers) and Atmospheric Ozone and Climate (14 papers). Dongchul Kim is often cited by papers focused on Atmospheric chemistry and aerosols (25 papers), Atmospheric aerosols and clouds (23 papers) and Atmospheric Ozone and Climate (14 papers). Dongchul Kim collaborates with scholars based in United States, South Korea and China. Dongchul Kim's co-authors include Chien Wang, Annica M. L. Ekman, M. C. Barth, Mian Chin, P. J. Rasch, Huisheng Bian, William R. Stockwell, Hongbin Yu, Qian Tan and Paul Ginoux and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric Environment.

In The Last Decade

Dongchul Kim

41 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongchul Kim United States 14 721 672 203 139 104 42 931
Yu Zheng China 16 1.1k 1.5× 1.0k 1.5× 346 1.7× 63 0.5× 199 1.9× 49 1.3k
Lim‐Seok Chang South Korea 19 926 1.3× 640 1.0× 597 2.9× 47 0.3× 284 2.7× 68 1.2k
Zhanyu Yao China 8 349 0.5× 356 0.5× 83 0.4× 35 0.3× 78 0.8× 21 474
Mazen E. Assiri Saudi Arabia 13 335 0.5× 390 0.6× 65 0.3× 63 0.5× 84 0.8× 36 513
И. Н. Кузнецова Russia 14 553 0.8× 541 0.8× 115 0.6× 6 0.0× 86 0.8× 120 729
Disong Fu China 14 341 0.5× 355 0.5× 176 0.9× 10 0.1× 152 1.5× 39 558
J. K. Vaughan United States 13 328 0.5× 271 0.4× 153 0.8× 62 0.4× 68 0.7× 22 441
Sagar Rathod United States 8 237 0.3× 185 0.3× 74 0.4× 26 0.2× 44 0.4× 20 386
Panagiotis Kokkalis Greece 15 636 0.9× 584 0.9× 176 0.9× 54 0.4× 107 1.0× 35 740
Outi Meinander Finland 13 414 0.6× 307 0.5× 50 0.2× 52 0.4× 26 0.3× 40 513

Countries citing papers authored by Dongchul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dongchul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongchul Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dongchul Kim. A scholar is included among the top collaborators of Dongchul 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 Dongchul Kim. Dongchul 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.
Kim, Dongchul, Mian Chin, G. L. Schuster, et al.. (2024). Where Dust Comes From: Global Assessment of Dust Source Attributions With AeroCom Models. Journal of Geophysical Research Atmospheres. 129(16). 6 indexed citations
2.
Collow, Allison B. Marquardt, Peter R. Colarco, Arlindo da Silva, et al.. (2024). Benchmarking GOCART-2G in the Goddard Earth Observing System (GEOS). Geoscientific model development. 17(3). 1443–1468. 2 indexed citations
3.
Kim, Dongchul, et al.. (2023). Machine-Learning-Based Model for Hurricane Storm Surge Forecasting in the Lower Laguna Madre. Algorithms. 16(5). 232–232. 5 indexed citations
4.
5.
Yu, Hongbin, Qian Tan, Yaping Zhou, et al.. (2021). Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020. Atmospheric chemistry and physics. 21(16). 12359–12383. 51 indexed citations
6.
Kim, Dongchul, Mian Chin, Carlos Alberto dos Santos Cruz, Daniel Tong, & Hongbin Yu. (2021). Spring Dust in Western North America and Its Interannual Variability—Understanding the Role of Local and Transported Dust. Journal of Geophysical Research Atmospheres. 126(22). 14 indexed citations
7.
Tao, Zhining, Mian Chin, Meng Gao, et al.. (2020). Evaluation of NU-WRF model performance on air quality simulation under various model resolutions – an investigation within the framework of MICS-Asia Phase III. Atmospheric chemistry and physics. 20(4). 2319–2339. 17 indexed citations
8.
Kim, Dongchul, Mian Chin, Hongbin Yu, et al.. (2019). Asian and Trans‐Pacific Dust: A Multimodel and Multiremote Sensing Observation Analysis. Journal of Geophysical Research Atmospheres. 124(23). 13534–13559. 26 indexed citations
9.
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
10.
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
11.
Matsui, Toshi, Charles Ichoku, Cynthia A. Randles, et al.. (2014). Current and Future Perspectives of Aerosol Research at NASA Goddard Space Flight Center. Bulletin of the American Meteorological Society. 95(10). ES203–ES207. 1 indexed citations
12.
Kang, Mingon, Dongchul Kim, Chunyu Liu, et al.. (2014). Multi-block and Multi-task Learning for Integrative Genomic Study. 7. 38–45. 1 indexed citations
13.
Kim, Dongchul, Mian Chin, Huisheng Bian, et al.. (2013). The effect of the dynamic surface bareness on dust source function, emission, and distribution. Journal of Geophysical Research Atmospheres. n/a–n/a. 9 indexed citations
14.
Kim, Dongchul, et al.. (2013). New indices for wet scavenging of air pollutants (O3, CO, NO2, SO2, and PM10) by summertime rain. Atmospheric Environment. 82. 226–237. 143 indexed citations
15.
Kim, Dongchul, Mian Chin, Huisheng Bian, et al.. (2012). The effect of the dynamic surface bareness on dust source function, emission, and distribution. Journal of Geophysical Research Atmospheres. 118(2). 871–886. 84 indexed citations
16.
Kim, Dongchul, Xiaoyu Wang, Chin‐Rang Yang, & Jean Gao. (2012). A framework for personalized medicine: prediction of drug sensitivity in cancer by proteomic profiling. Proteome Science. 10(S1). S13–S13. 12 indexed citations
17.
Ekman, Annica M. L., M. Hermann, Peter Groß, et al.. (2012). Sub‐micrometer aerosol particles in the upper troposphere/lowermost stratosphere as measured by CARIBIC and modeled using the MIT‐CAM3 global climate model. Journal of Geophysical Research Atmospheres. 117(D11). 9 indexed citations
18.
Kim, Dongchul, Jean Gao, Xiaoyu Wang, & Chin‐Rang Yang. (2011). A Framework for Personalized Medicine with Reverse Phase Protein Array and Drug Sensitivity. 22. 426–429. 1 indexed citations
19.
Kim, Dongchul, Chien Wang, Annica M. L. Ekman, M. C. Barth, & Phil Rasch. (2008). Distribution and direct radiative forcing of carbonaceous and sulfate aerosols in an interactive size‐resolving aerosol–climate model. Journal of Geophysical Research Atmospheres. 113(D16). 81 indexed citations
20.

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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