Kyung Man Han

1.4k total citations
42 papers, 748 citations indexed

About

Kyung Man Han is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kyung Man Han has authored 42 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 15 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kyung Man Han's work include Atmospheric chemistry and aerosols (36 papers), Atmospheric aerosols and clouds (19 papers) and Atmospheric Ozone and Climate (18 papers). Kyung Man Han is often cited by papers focused on Atmospheric chemistry and aerosols (36 papers), Atmospheric aerosols and clouds (19 papers) and Atmospheric Ozone and Climate (18 papers). Kyung Man Han collaborates with scholars based in South Korea, United States and Germany. Kyung Man Han's co-authors include Chul Han Song, Ulrich Spicher, Ulrich Maas, Robert Schießl, Jhoon Kim, Sojin Lee, Jung‐Hun Woo, J. Y. Kim, Lim‐Seok Chang and Hyun S. Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

In The Last Decade

Kyung Man Han

39 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung Man Han South Korea 13 441 308 255 211 161 42 748
Lukáš Ďurdina Switzerland 17 234 0.5× 505 1.6× 443 1.7× 170 0.8× 487 3.0× 32 894
Changlie Wey United States 14 82 0.2× 320 1.0× 170 0.7× 279 1.3× 257 1.6× 27 649
Theo Rindlisbacher Switzerland 11 123 0.3× 307 1.0× 259 1.0× 77 0.4× 302 1.9× 13 466
R. Villaseñor Mexico 10 77 0.2× 37 0.1× 107 0.4× 61 0.3× 30 0.2× 21 350
Rodrigo Demarco Chile 14 93 0.2× 39 0.1× 29 0.1× 350 1.7× 119 0.7× 44 562
Boris Krasovitov Israel 12 138 0.3× 137 0.4× 52 0.2× 20 0.1× 14 0.1× 37 374
M. Talbaut France 8 74 0.2× 53 0.2× 78 0.3× 66 0.3× 27 0.2× 11 222
H. A. Cikanek United States 11 105 0.2× 105 0.3× 16 0.1× 68 0.3× 89 0.6× 24 443
Mark F. Hibberd Australia 9 136 0.3× 64 0.2× 68 0.3× 56 0.3× 8 0.0× 17 359
N. A. Kakutkina Russia 9 188 0.4× 145 0.5× 22 0.1× 48 0.2× 9 0.1× 29 339

Countries citing papers authored by Kyung Man Han

Since Specialization
Citations

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

Fields of papers citing papers by Kyung Man Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung Man Han. 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 Kyung Man Han. The network helps show where Kyung Man Han may publish in the future.

Co-authorship network of co-authors of Kyung Man Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung Man Han. A scholar is included among the top collaborators of Kyung Man Han 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 Kyung Man Han. Kyung Man Han 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, Hyun S., et al.. (2025). Development of a Hybrid Attention Transformer for Daily PM2.5 Predictions in Seoul. Atmosphere. 16(1). 37–37. 3 indexed citations
2.
Song, Chul Han, et al.. (2025). Incorporation of multi-phase halogen chemistry into the Community Multiscale Air Quality (CMAQ) model. Atmospheric chemistry and physics. 25(17). 10293–10314.
3.
Han, Kyung Man, Chul Han Song, Greg Yarwood, et al.. (2024). An investigation into atmospheric nitrous acid (HONO) processes in South Korea. Atmospheric chemistry and physics. 24(22). 12575–12593. 2 indexed citations
4.
Song, Chul Han, Sojin Lee, Hyun S. Kim, et al.. (2023). Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability. npj Climate and Atmospheric Science. 6(1). 2 indexed citations
5.
Han, Kyung Man, Chul Han Song, Kyunghwa Lee, et al.. (2023). Evaluation of biogenic emissions from three different vegetation distributions in South Korea. Atmospheric Environment. 296. 119588–119588.
6.
Kim, Hyun S., et al.. (2022). Development of a CNN+LSTM Hybrid Neural Network for Daily PM2.5 Prediction. Atmosphere. 13(12). 2124–2124. 17 indexed citations
7.
Lee, Sojin, Chul Han Song, Kyung Man Han, et al.. (2021). Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia. Atmospheric Environment. 271. 118921–118921. 12 indexed citations
8.
9.
Jung, Chang Hoon, Young Jun Yoon, Junshik Um, et al.. (2020). Approximated expression of the hygroscopic growth factor for polydispersed aerosols. Journal of Aerosol Science. 151. 105670–105670. 5 indexed citations
10.
Kim, Hyun S., Inyoung Park, Chul Han Song, et al.. (2019). Development of a daily PM 10 and PM 2.5 prediction system using a deep long short-term memory neural network model. Atmospheric chemistry and physics. 19(20). 12935–12951. 55 indexed citations
11.
Lee, Sojin, Chul Han Song, Kyung Man Han, et al.. (2016). GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia. Geoscientific model development. 9(1). 17–39. 29 indexed citations
12.
13.
Han, Kyung Man, Sojin Lee, Lim‐Seok Chang, & Chul Han Song. (2015). A comparison study between CMAQ-simulated and OMI-retrieved NO 2 columns over East Asia for evaluation of NO x emission fluxes of INTEX-B, CAPSS, and REAS inventories. Atmospheric chemistry and physics. 15(4). 1913–1938. 44 indexed citations
14.
15.
Song, Changhui, et al.. (2010). Seasonal and regional aerosol characteristics in East Asia investigated with model-predicted and remotely-sensed aerosol properties. EGU General Assembly Conference Abstracts. 7763. 1 indexed citations
16.
Han, Kyung Man, Chul Han Song, Jung‐Hun Woo, et al.. (2009). Investigation of NO x emissions and NO x -related chemistry in East Asia using CMAQ-predicted and GOME-derived NO 2 columns. Atmospheric chemistry and physics. 9(3). 1017–1036. 56 indexed citations
17.
18.
Han, Kyung Man, Chang‐Keun Song, Andreas Richter, et al.. (2008). Investigation of NO x emissions and NO x -related chemistry in East Asia using CMAQ-predicted and GOME-derived NO 2 columns. SHILAP Revista de lepidopterología. 9 indexed citations
19.
Song, Chul Han, Kwon‐Ho Lee, J. Y. Kim, et al.. (2008). An investigation into seasonal and regional aerosol characteristics in East Asia using model-predicted and remotely-sensed aerosol properties. Atmospheric chemistry and physics. 8(22). 6627–6654. 66 indexed citations
20.
Newchurch, M., L. K. Emmons, Larry W. Horowitz, et al.. (2001). Critical Assessment of TOMS-derived Tropospheric Ozone: Comparisons with Other Measurements and Model Evaluation of Controlling Processes. AGU Spring Meeting Abstracts. 2001. 2 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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2026