Minah Bae

791 total citations
34 papers, 614 citations indexed

About

Minah Bae is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Minah Bae has authored 34 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 27 papers in Health, Toxicology and Mutagenesis and 16 papers in Environmental Engineering. Recurrent topics in Minah Bae's work include Atmospheric chemistry and aerosols (31 papers), Air Quality and Health Impacts (27 papers) and Air Quality Monitoring and Forecasting (16 papers). Minah Bae is often cited by papers focused on Atmospheric chemistry and aerosols (31 papers), Air Quality and Health Impacts (27 papers) and Air Quality Monitoring and Forecasting (16 papers). Minah Bae collaborates with scholars based in South Korea, United States and China. Minah Bae's co-authors include Soontae Kim, Hyun Cheol Kim, Byeong-Uk Kim, Eunhye Kim, Changhan Bae, Yoon‐Hee Kang, Ariel Stein, Song‐You Hong, Rokjin J. Park and Seok‐Woo Son and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Environmental Pollution.

In The Last Decade

Minah Bae

27 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minah Bae South Korea 14 487 428 239 155 153 34 614
Magdalena Reizer Poland 10 282 0.6× 411 1.0× 188 0.8× 128 0.8× 91 0.6× 17 501
Jerzy Debosz Canada 13 388 0.8× 584 1.4× 253 1.1× 270 1.7× 122 0.8× 17 687
Michael Noble Canada 7 271 0.6× 383 0.9× 166 0.7× 174 1.1× 89 0.6× 11 448
Lei Luo China 7 442 0.9× 437 1.0× 178 0.7× 90 0.6× 183 1.2× 10 556
Danlin Song China 16 479 1.0× 545 1.3× 252 1.1× 140 0.9× 85 0.6× 54 666
Dennis Herod Canada 11 288 0.6× 488 1.1× 205 0.9× 226 1.5× 77 0.5× 11 566
Uarporn Nopmongcol United States 17 475 1.0× 443 1.0× 134 0.6× 212 1.4× 193 1.3× 30 645
Isha Khanna India 6 164 0.3× 344 0.8× 204 0.9× 91 0.6× 111 0.7× 7 444
Jaegun Jung United States 14 401 0.8× 370 0.9× 125 0.5× 141 0.9× 230 1.5× 17 553
Anthony Munoz Canada 12 287 0.6× 396 0.9× 194 0.8× 139 0.9× 87 0.6× 22 474

Countries citing papers authored by Minah Bae

Since Specialization
Citations

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

Fields of papers citing papers by Minah Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minah Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Minah Bae. A scholar is included among the top collaborators of Minah Bae 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 Minah Bae. Minah Bae 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.
Bae, Minah, et al.. (2023). Seasonal PM Management: (II) How Low PM2.5 Concentration in South Korea can be Achieved?. Journal of Korean Society for Atmospheric Environment. 39(1). 9–23. 7 indexed citations
2.
Bae, Minah, et al.. (2022). Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (IX) Gyeongsangbuk-do. Journal of Korean Society for Atmospheric Environment. 38(2). 237–257. 6 indexed citations
3.
4.
Bae, Minah, Byeong-Uk Kim, Hyun Cheol Kim, J. H. Woo, & Soontae Kim. (2022). An observation-based adjustment method of regional contribution estimation from upwind emissions to downwind PM2.5 concentrations. Environment International. 163. 107214–107214. 16 indexed citations
5.
Kang, Yoon‐Hee, et al.. (2021). Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (V) Ulsan. Journal of Korean Society for Atmospheric Environment. 37(3). 487–511. 9 indexed citations
6.
Kim, Soontae, Minah Bae, Eunhye Kim, et al.. (2021). Identifying the Drivers of PM2.5 Concentration Changes between December 2019 and December 2020 in South Korea. Journal of Korean Society for Atmospheric Environment. 37(3). 371–387. 4 indexed citations
7.
Kim, Soontae, et al.. (2021). Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (III) Jeollanamdo. Journal of Korean Society for Atmospheric Environment. 37(2). 206–230. 14 indexed citations
8.
Bae, Minah, et al.. (2021). Local Authority Level Source Apportionments of PM2.5 Concentrations based on the CAPSS 2016: (VII) Seoul. Journal of Korean Society for Atmospheric Environment. 37(3). 466–486. 13 indexed citations
9.
Bae, Minah, et al.. (2021). Developing Temporal Allocation Profiles for Electric Generating Utilities based on the CleanSYS Real-time Emissions. Journal of Korean Society for Atmospheric Environment. 37(2). 338–354. 1 indexed citations
10.
Kang, Yoon‐Hee, et al.. (2021). Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (VI) Chungcheongbuk-do. Journal of Korean Society for Atmospheric Environment. 37(3). 429–455. 11 indexed citations
11.
Kim, Eunhye, et al.. (2021). Municipality-Level Source Apportionment of PM2.5 Concentrations based on the CAPSS 2016: (IV) Jeollabuk-do. Journal of Korean Society for Atmospheric Environment. 37(2). 292–309. 13 indexed citations
12.
13.
Kim, Hyun Cheol, Soontae Kim, Mark Cohen, et al.. (2021). Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity. Atmospheric chemistry and physics. 21(13). 10065–10080. 14 indexed citations
14.
Kim, Hyun Cheol, Changhan Bae, Minah Bae, et al.. (2020). Space-Borne Monitoring of NOx Emissions from Cement Kilns in South Korea. Atmosphere. 11(8). 881–881. 18 indexed citations
15.
Bae, Minah, Byeong-Uk Kim, Hyun Cheol Kim, & Soontae Kim. (2020). A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010–2017. Atmosphere. 11(2). 141–141. 66 indexed citations
16.
Bae, Minah, Byeong-Uk Kim, Hyun Cheol Kim, Jhoon Kim, & Soontae Kim. (2020). Role of emissions and meteorology in the recent PM2.5 changes in China and South Korea from 2015 to 2018. Environmental Pollution. 270. 116233–116233. 51 indexed citations
17.
18.
Bae, Minah, et al.. (2020). The impacts of COVID-19, meteorology, and emission control policies on PM2.5 drops in Northeast Asia. Scientific Reports. 10(1). 22112–22112. 33 indexed citations
19.
Bae, Minah, Eunhye Kim, Yoon‐Hee Kang, et al.. (2020). Meteorological and Emission Influences on PM2.5 Concentration in South Korea during the Seasonal Management: A Case of December 2019 to March 2020. Journal of Korean Society for Atmospheric Environment. 36(4). 442–463. 16 indexed citations
20.
Bae, Minah, Hyun Cheol Kim, Byeong-Uk Kim, & Soontae Kim. (2018). PM2.5 Simulations for the Seoul Metropolitan Area: (V) Estimation of North Korean Emission Contribution. Journal of Korean Society for Atmospheric Environment. 34(2). 294–305. 24 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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