InJo Hwang

433 total citations
24 papers, 366 citations indexed

About

InJo Hwang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, InJo Hwang has authored 24 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Health, Toxicology and Mutagenesis, 18 papers in Atmospheric Science and 13 papers in Environmental Engineering. Recurrent topics in InJo Hwang's work include Air Quality and Health Impacts (20 papers), Atmospheric chemistry and aerosols (18 papers) and Air Quality Monitoring and Forecasting (13 papers). InJo Hwang is often cited by papers focused on Air Quality and Health Impacts (20 papers), Atmospheric chemistry and aerosols (18 papers) and Air Quality Monitoring and Forecasting (13 papers). InJo Hwang collaborates with scholars based in South Korea, United States and Spain. InJo Hwang's co-authors include Philip K. Hopke, Joseph P. Pinto, Dong-Sool Kim, Seung‐Muk Yi, Tae-Oh Kim, Jong‐Ho Kim, Andrés Alástuey, Xavier Querol, Jong‐Hoon Lee and Jesús Miguel Santamaría and has published in prestigious journals such as Environmental Science & Technology, Atmospheric Environment and Water Air & Soil Pollution.

In The Last Decade

InJo Hwang

23 papers receiving 276 citations

Peers

InJo Hwang

HTM

GPC

Michael Noble Canada

Véronique Ghersi France

Arianna Trentini Italy

Paola Radice Italy

Hoang Xuan Co Vietnam

Y.H. Kwok Hong Kong

M. Wang China

Vasiliki Vasilatou Greece

Shuhan Liu China

Jin Shen China

Michael Noble Canada

InJo Hwang

271 ×0.9

383 ×1.3

HTM

166 ×0.9

174 ×1.8

89 ×2.0

GPC

Citations per year, relative to InJo Hwang InJo Hwang (= 1×) peers Michael Noble

Countries citing papers authored by InJo Hwang

Since Specialization

Citations

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

Fields of papers citing papers by InJo Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of InJo Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of InJo Hwang. A scholar is included among the top collaborators of InJo Hwang 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 InJo Hwang. InJo Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hwang, InJo, et al.. (2023). Estimation of Source Apportionment for PM2.5 Data of Saemangeum Area Using the CMB Model. Journal of Korean Society for Atmospheric Environment. 39(5). 661–674.

Hwang, InJo. (2022). Estimation of Source Apportionment for PM2.5 Data of Air Pollution Monitoring Site in Pohang Using the EPA-PMF Model. Journal of Korean Society for Atmospheric Environment. 38(3). 354–374. 5 indexed citations

Hwang, InJo, Tae-Jung Lee, Tae-Oh Kim, & Gwi–Nam Bae. (2021). Characteristics of Air Pollutant Emissions and Distribution for Particulate Matter Concentration of Air Pollution Networks in Gyeongsangbuk-do. Journal of Korean Society for Atmospheric Environment. 37(3). 536–551. 8 indexed citations

Hwang, InJo, et al.. (2020). Estimation of Source Apportionment for Filter-based PM2.5 Data using the EPA-PMF Model at Air Pollution Monitoring Supersites. Journal of Korean Society for Atmospheric Environment. 36(5). 620–632. 12 indexed citations

Hwang, InJo & Kwangsam Na. (2017). Filter- and Denuder-Based Organic Carbon Correction for Positive Sampling Artifacts. Asian Journal of Atmospheric Environment. 11(2). 107–113. 1 indexed citations

Kim, Jong‐Ho & InJo Hwang. (2016). The Characterization of PM, PM₁₀, and PM_2.5from Stationary Sources. Journal of Korean Society for Atmospheric Environment. 32(6). 603–612. 7 indexed citations

Hwang, InJo, et al.. (2015). Characteristics of PM<sub>2.5</sub> in Gyeongsan Using Statistical Analysis. Journal of Korean Society for Atmospheric Environment. 31(6). 520–529. 4 indexed citations

Hwang, InJo, et al.. (2015). Source Apportionment of PM<sub>2.5</sub> in Gyeongsan Using the PMF Model. Journal of Korean Society for Atmospheric Environment. 31(6). 508–519. 11 indexed citations

Yi, Seung‐Muk & InJo Hwang. (2014). Source Identification and Estimation of Source Apportionment for Ambient PM10 in Seoul, Korea. Asian Journal of Atmospheric Environment. 8(3). 115–125. 12 indexed citations

10.

Kim, Tae-Oh, et al.. (2014). Estimation of Greenhouse Gas Emissions (GHG) Inventory and Reduction Plans for Low Carbon Green Campus in Daegu University. Journal of Korean Society of Environmental Engineers. 36(7). 506–513. 3 indexed citations

11.

Hwang, InJo & Dong-Sool Kim. (2013). Research Trends of Receptor Models in Korea and Foreign Countries and Improvement Directions for Air Quality Management. Journal of Korean Society for Atmospheric Environment. 29(4). 459–476. 17 indexed citations

12.

Hwang, InJo, et al.. (2012). A Statistical Analysis and Spatial Distribution Analysis for Deposition Characteristics of Fall-out Particles. Journal of Korean Society for Atmospheric Environment. 28(3). 294–305. 2 indexed citations

13.

Hwang, InJo & Philip K. Hopke. (2011). Comparison of Source Apportionment of PM2.5 Using PMF2 and EPA PMF Version 2. Asian Journal of Atmospheric Environment. 5(2). 86–96. 19 indexed citations

14.

Hwang, InJo. (2009). Estimation of Source Apportionment for Semi-Continuous PM_2.5and Identification of Location for Local Point Sources at the St. Louis Supersite, USA. Journal of Korean Society for Atmospheric Environment. 25(2). 154–166. 4 indexed citations

15.

Hwang, InJo, Philip K. Hopke, & Joseph P. Pinto. (2008). Source Apportionment and Spatial Distributions of Coarse Particles During the Regional Air Pollution Study. Environmental Science & Technology. 42(10). 3524–3530. 32 indexed citations

16.

Hwang, InJo, et al.. (2008). Quantitative Estimation of PM-10 Source Contribution in Gumi City by the Positive Matrix Factorization Model. Journal of Korean Society for Atmospheric Environment. 24(1). 100–107. 10 indexed citations

17.

Hwang, InJo & Philip K. Hopke. (2006). Comparison of Source Apportionments of Fine Particulate Matter at Two San Jose Speciation Trends Network Sites. Journal of the Air & Waste Management Association. 56(9). 1287–1300. 30 indexed citations

18.

Hwang, InJo & Philip K. Hopke. (2006). Estimation of source apportionment and potential source locations of PM2.5 at a west coastal IMPROVE site. Atmospheric Environment. 41(3). 506–518. 125 indexed citations

19.

Ogulei, David, Philip K. Hopke, Jong‐Hoon Lee, et al.. (2006). Concentration and Sources of PM10 and its Constituents in Alsasua, Spain. Water Air & Soil Pollution. 174(1-4). 385–404. 29 indexed citations

20.

Hwang, InJo. (1970). Introduction and Application of the PMF Model to Estimate the Source Apportionment of PM2.5 at Various Sites. Journal of the Institute of Engineering. 8(3). 25–31. 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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