Tae J. Kwon

561 total citations
44 papers, 384 citations indexed

About

Tae J. Kwon is a scholar working on Pollution, Civil and Structural Engineering and Atmospheric Science. According to data from OpenAlex, Tae J. Kwon has authored 44 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pollution, 12 papers in Civil and Structural Engineering and 11 papers in Atmospheric Science. Recurrent topics in Tae J. Kwon's work include Smart Materials for Construction (21 papers), Traffic and Road Safety (9 papers) and Climate change and permafrost (8 papers). Tae J. Kwon is often cited by papers focused on Smart Materials for Construction (21 papers), Traffic and Road Safety (9 papers) and Climate change and permafrost (8 papers). Tae J. Kwon collaborates with scholars based in Canada, China and South Korea. Tae J. Kwon's co-authors include Liping Fu, Liping Fu, Karim El‐Basyouny, Chaozhe Jiang, Stephanie Melles, Alexander Wong, Jonathan Li, X. X. Ding, Tony Z. Qiu and Cody Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sustainability.

In The Last Decade

Tae J. Kwon

39 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tae J. Kwon Canada	10	123	120	97	85	78	44	384
David Veneziano United States	12	75 0.6×	150 1.3×	41 0.4×	164 1.9×	52 0.7×	47	375
Paul Pisano United States	11	82 0.7×	46 0.4×	74 0.8×	48 0.6×	86 1.1×	44	388
David Jaroszweski United Kingdom	10	81 0.7×	21 0.2×	115 1.2×	157 1.8×	79 1.0×	16	473
Michael G. Leahy Canada	5	121 1.0×	19 0.2×	69 0.7×	32 0.4×	27 0.3×	6	356
Paul J. Ossenbruggen United States	10	174 1.4×	35 0.3×	124 1.3×	62 0.7×	90 1.2×	36	394
J Suggett Canada	3	204 1.7×	15 0.1×	108 1.1×	48 0.6×	55 0.7×	5	329
Zhirui Ye China	16	119 1.0×	63 0.5×	398 4.1×	75 0.9×	143 1.8×	42	623
Fabio Galatioto United Kingdom	11	35 0.3×	12 0.1×	62 0.6×	30 0.4×	69 0.9×	22	340
Yan Du China	14	75 0.6×	9 0.1×	45 0.5×	121 1.4×	49 0.6×	36	514
Yanjie Zhang China	14	85 0.7×	5 0.0×	71 0.7×	180 2.1×	63 0.8×	31	502

Countries citing papers authored by Tae J. Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Tae J. Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae J. Kwon. 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 Tae J. Kwon. The network helps show where Tae J. Kwon may publish in the future.

Co-authorship network of co-authors of Tae J. Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Tae J. Kwon. A scholar is included among the top collaborators of Tae J. Kwon 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 Tae J. Kwon. Tae J. Kwon 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

Kwon, Tae J., et al.. (2025). From Opacity to Clarity: Employing Explainable AI to Interpret CNN Predictions on Winter Road Conditions. Journal of Transportation Engineering Part A Systems. 151(11).

Wong, Stephen D., et al.. (2024). Naturalistic Experiment for Surface Transportation: A Study of Snowplow Lighting under Winter Conditions. Journal of Transportation Engineering Part A Systems. 151(2).

Kwon, Tae J., et al.. (2024). Weather event characterization: a catalyst for improved spatial mapping and benefit quantification in winter road maintenance. Cold Regions Science and Technology. 223. 104208–104208. 1 indexed citations

Kwon, Tae J., et al.. (2023). Strategic Planning for Equitable RWIS Implementation: A Comprehensive Study Incorporating a Multi-variable Semivariogram Model. 6(4). 54–72. 2 indexed citations

Kwon, Tae J., et al.. (2023). Location–allocation strategies for traffic counters—a citywide deployment. Canadian Journal of Civil Engineering. 50(10). 865–877. 2 indexed citations

Seo, Jaho, et al.. (2022). Optimization of Snowplow Routes for Real-World Conditions. Sustainability. 14(20). 13130–13130. 4 indexed citations

Fu, Liping, et al.. (2022). An Interactive Traffic Signal Optimization Approach with Dynamic Variable Guidance Lane Control. Journal of Advanced Transportation. 2022. 1–17. 5 indexed citations

Kwon, Tae J., et al.. (2022). Forecasting short-term road surface temperatures considering forecasting horizon and geographical attributes – an ANN-based approach. Cold Regions Science and Technology. 202. 103631–103631. 5 indexed citations

Seo, Jaho, et al.. (2021). Snowplow Route Optimization Using Chinese Postman Problem and Tabu Search Algorithm. Proceedings of the ... ISARC. 3 indexed citations

10.

El‐Basyouny, Karim, et al.. (2021). Exploring the associations between winter maintenance operations, weather variables, surface condition, and road safety: A path analysis approach. Accident Analysis & Prevention. 163. 106448–106448. 30 indexed citations

11.

Kwon, Tae J. & Liping Fu. (2020). Performance evaluation of road surface temperature forecasts. Canadian Journal of Civil Engineering. 48(5). 532–539. 2 indexed citations

12.

Wang, Xu, et al.. (2019). Determining the Spatiotemporal Coverage of Road Weather Information Systems – A Case Study in Alberta, Canada. Transportation Research Board 98th Annual MeetingTransportation Research Board.

13.

Kwon, Tae J., et al.. (2019). Effects of winter weather on traffic operations and optimization of signalized intersections. Journal of Traffic and Transportation Engineering (English Edition). 6(2). 196–208. 2 indexed citations

14.

Kwon, Tae J.. (2019). A New Co-Creative Urban Development Model Based on Participant Diversification. Journal of Korea Planning Association. 54(7). 42–57. 1 indexed citations

15.

Kwon, Tae J., et al.. (2018). A geostatistical approach to winter road surface condition estimation using mobile RWIS data. Canadian Journal of Civil Engineering. 46(6). 511–521. 5 indexed citations

16.

El‐Basyouny, Karim, et al.. (2018). Sun Glare: Network Characterization and Safety Effects. Transportation Research Record Journal of the Transportation Research Board. 2672(16). 79–92. 7 indexed citations

17.

Fu, Liping, et al.. (2017). Development of a Model-based Performance Measurement Tool for Winter Road Maintenance Management. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations

18.

Fu, Liping, et al.. (2017). A risk-based approach to winter road surface condition classification. Canadian Journal of Civil Engineering. 44(3). 182–191. 2 indexed citations

19.

Kwon, Tae J.. (2013). Reframing Sustainability in Consideration of Climate Change and Natural Hazards: Focusing on the U.S. Natural Hazards Mitigation Trend and Case Analysis. Journal of the Korean Society of Civil Engineers. 33(2). 801–810. 3 indexed citations

20.

Kwon, Tae J., Jonathan Li, & Alexander Wong. (2012). ETVOS: An Enhanced Total Variation Optimization Segmentation Approach for SAR Sea-Ice Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 51(2). 925–934. 22 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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