Donghwan Ki

806 total citations · 1 hit paper
23 papers, 575 citations indexed

About

Donghwan Ki is a scholar working on Transportation, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Donghwan Ki has authored 23 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Transportation, 6 papers in Global and Planetary Change and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Donghwan Ki's work include Urban Transport and Accessibility (9 papers), Impact of Light on Environment and Health (5 papers) and Traffic and Road Safety (4 papers). Donghwan Ki is often cited by papers focused on Urban Transport and Accessibility (9 papers), Impact of Light on Environment and Health (5 papers) and Traffic and Road Safety (4 papers). Donghwan Ki collaborates with scholars based in United States, South Korea and Australia. Donghwan Ki's co-authors include Sugie Lee, John R. Hipp, Jae Hong Kim, Zhenhua Chen, Jaehyun Ha, Jinman Kim, Joonho Ko, Sunjae Kim, Hojun Lee and Kailai Wang and has published in prestigious journals such as Landscape and Urban Planning, Sustainability and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Donghwan Ki

19 papers receiving 547 citations

Hit Papers

Analyzing the effects of Green View Index of neighborhood... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Analyzing the effects of Green View Index of neighborhood streets on walking time using Google Street View and deep learning
    2020 266 citations Donghwan Ki, Sugie Lee Landscape and Urban Planning profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghwan Ki United States 10 270 225 217 107 87 23 575
Waishan Qiu United States 16 291 1.1× 335 1.5× 304 1.4× 112 1.0× 68 0.8× 45 777
Heeyeun Yoon South Korea 15 170 0.6× 192 0.9× 174 0.8× 73 0.7× 78 0.9× 51 609
Bingjie Yu China 11 188 0.7× 327 1.5× 198 0.9× 156 1.5× 35 0.4× 18 602
Longzhu Xiao China 14 165 0.6× 526 2.3× 242 1.1× 47 0.4× 115 1.3× 24 818
Alain Chiaradia Hong Kong 15 235 0.9× 430 1.9× 229 1.1× 49 0.5× 46 0.5× 36 750
Chester Harvey United States 8 183 0.7× 235 1.0× 133 0.6× 29 0.3× 50 0.6× 15 413
Lindsey Conrow New Zealand 11 89 0.3× 334 1.5× 167 0.8× 66 0.6× 61 0.7× 22 584
Salvador Rueda Italy 6 161 0.6× 249 1.1× 168 0.8× 41 0.4× 38 0.4× 17 529

Countries citing papers authored by Donghwan Ki

Since Specialization
Citations

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

Fields of papers citing papers by Donghwan Ki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghwan Ki

This figure shows the co-authorship network connecting the top 25 collaborators of Donghwan Ki. A scholar is included among the top collaborators of Donghwan Ki 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 Donghwan Ki. Donghwan Ki 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.
Ki, Donghwan, et al.. (2025). Toward Automated and Comprehensive Walkability Audits with Street View Images: Leveraging Virtual Reality for Enhanced Semantic Segmentation. ISPRS Journal of Photogrammetry and Remote Sensing. 223. 78–90. 1 indexed citations
2.
Chen, Zhenhua, Donghwan Ki, Zekun Li, & Kailai Wang. (2025). Assessing equity in infrastructure investment distribution among U.S. cities. Cities. 162. 105898–105898. 1 indexed citations
3.
Ki, Donghwan, et al.. (2025). Measuring nuanced walkability: Leveraging ChatGPT's vision reasoning with multisource spatial data. Computers Environment and Urban Systems. 121. 102319–102319.
4.
Lee, Sugie, Donghwan Ki, John R. Hipp, & Jae Hong Kim. (2024). Analysing non-linearities and threshold effects between street-level built environments and local crime patterns: An interpretable machine learning approach. Urban Studies. 62(6). 1186–1208. 4 indexed citations
5.
Ki, Donghwan, et al.. (2023). Bridging the gap between pedestrian and street views for human-centric environment measurement: A GIS-based 3D virtual environment. Landscape and Urban Planning. 240. 104873–104873. 18 indexed citations
6.
Ki, Donghwan, et al.. (2023). A novel walkability index using google street view and deep learning. Sustainable Cities and Society. 99. 104896–104896. 28 indexed citations
7.
Ki, Donghwan & Zhenhua Chen. (2023). Walkability inequity in Los Angeles: Uncovering the overlooked role of micro-level features. Transportation Research Part D Transport and Environment. 122. 103888–103888. 13 indexed citations
8.
Kim, Jae Hong, et al.. (2023). Beyond visual inspection: capturing neighborhood dynamics with historical Google Street View and deep learning-based semantic segmentation. Journal of Geographical Systems. 26(4). 541–564. 4 indexed citations
9.
Hipp, John R., Sugie Lee, Donghwan Ki, & Jae Hong Kim. (2022). How concentrated disadvantage moderates the built environment and crime relationship on street segments in Los Angeles. Criminology & Criminal Justice. 25(2). 501–529. 10 indexed citations
10.
Ki, Donghwan, et al.. (2022). A Novel Walkability Index Using Google Street View and Deep Learning. SSRN Electronic Journal.
11.
Ki, Donghwan, Sunjae Kim, & Sugie Lee. (2021). Analysis of the Green Equity Using Google Street View and Deep Learning in Seoul, Korea: Focused on the Comparison between NDVI and Street Image-Based Green Calculation Method. Journal of Korea Planning Association. 56(4). 194–211. 4 indexed citations
12.
Hipp, John R., Sugie Lee, Donghwan Ki, & Jae Hong Kim. (2021). Measuring the Built Environment with Google Street View and Machine Learning: Consequences for Crime on Street Segments. Journal of Quantitative Criminology. 38(3). 537–565. 69 indexed citations
13.
14.
Kim, Jinman, Donghwan Ki, & Sugie Lee. (2021). Analysis of Travel Mode Choice Change by the Spread of COVID-19 : The Case of Seoul, Korea. Journal of Korea Planning Association. 56(3). 113–129. 17 indexed citations
15.
16.
Ki, Donghwan & Sugie Lee. (2020). Analyzing the effects of Green View Index of neighborhood streets on walking time using Google Street View and deep learning. Landscape and Urban Planning. 205. 103920–103920. 266 indexed citations breakdown →
17.
18.
Ki, Donghwan & Sugie Lee. (2019). Analysis on the Relationship between the Fine Dust Concentration and Subway Ridership for the Evaluation of Fine Dust Response Policies. Journal of Korea Planning Association. 54(4). 79–93. 4 indexed citations
19.
Ki, Donghwan & Sugie Lee. (2019). Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea. Sustainability. 11(15). 4108–4108. 38 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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