Jiwon Kim

460 total citations
16 papers, 306 citations indexed

About

Jiwon Kim is a scholar working on Building and Construction, Transportation and Control and Systems Engineering. According to data from OpenAlex, Jiwon Kim has authored 16 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Building and Construction, 9 papers in Transportation and 4 papers in Control and Systems Engineering. Recurrent topics in Jiwon Kim's work include Traffic Prediction and Management Techniques (11 papers), Transportation Planning and Optimization (7 papers) and Traffic control and management (4 papers). Jiwon Kim is often cited by papers focused on Traffic Prediction and Management Techniques (11 papers), Transportation Planning and Optimization (7 papers) and Traffic control and management (4 papers). Jiwon Kim collaborates with scholars based in Australia, United States and Netherlands. Jiwon Kim's co-authors include Mehmet Yildirimoḡlu, Jonathan Corcoran, Dorine C. Duives, Guangxing Wang, Seongjin Choi, Hwasoo Yeo, Zuduo Zheng, Md. Mazharul Haque, Simon Washington and Hesham Rakha and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jiwon Kim

16 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiwon Kim Australia 9 189 114 54 38 35 16 306
Abdullah Kurkcu United States 11 189 1.0× 115 1.0× 33 0.6× 37 1.0× 18 0.5× 26 304
Zhiren Huang China 10 279 1.5× 159 1.4× 36 0.7× 38 1.0× 22 0.6× 21 378
Shahadat Iqbal United States 8 405 2.1× 130 1.1× 58 1.1× 60 1.6× 19 0.5× 18 479
Shaowu Cheng China 11 130 0.7× 77 0.7× 61 1.1× 46 1.2× 14 0.4× 33 294
Gang Zhong China 12 169 0.9× 137 1.2× 64 1.2× 48 1.3× 7 0.2× 33 384
Jiexia Ye China 6 195 1.0× 230 2.0× 20 0.4× 69 1.8× 40 1.1× 11 284
Huimin Wen China 9 400 2.1× 235 2.1× 84 1.6× 82 2.2× 47 1.3× 22 527
Linfeng Du China 4 129 0.7× 155 1.4× 14 0.3× 63 1.7× 25 0.7× 5 305
Dingyi Zhuang United States 9 107 0.6× 139 1.2× 32 0.6× 30 0.8× 35 1.0× 16 243
Noelia Cáceres Spain 9 416 2.2× 222 1.9× 45 0.8× 69 1.8× 24 0.7× 20 524

Countries citing papers authored by Jiwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jiwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiwon Kim

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

All Works

16 of 16 papers shown
1.
Zheng, Zuduo, et al.. (2025). Eco-cooperative adaptive cruise control for platoons in mixed traffic using single-agent and multi-agent reinforcement learning. Transportation Research Part D Transport and Environment. 142. 104658–104658. 3 indexed citations
2.
Choi, Seongjin, et al.. (2025). A gentle introduction and tutorial on Deep Generative Models in transportation research. Transportation Research Part C Emerging Technologies. 176. 105145–105145. 3 indexed citations
3.
Zheng, Zuduo, et al.. (2024). Eco-driving strategies using reinforcement learning for mixed traffic in the vicinity of signalized intersections. Transportation Research Part C Emerging Technologies. 165. 104683–104683. 15 indexed citations
4.
Shin, Seoyoon, et al.. (2024). Multimodal Data-Driven Prediction of PEMFC Performance and Process Conditions Using Deep Learning. IEEE Access. 12. 168030–168042. 3 indexed citations
5.
Washington, Simon, et al.. (2023). A hierarchical multinomial logit model to examine the effects of signal strategies on right-turn crash injury severity at signalised intersections. Accident Analysis & Prevention. 188. 107091–107091. 13 indexed citations
6.
He, Dan, et al.. (2023). MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks. Transportation Research Part C Emerging Technologies. 156. 104354–104354. 15 indexed citations
7.
Washington, Simon, et al.. (2023). A Hierarchical Multinomial Logit model to examine the effects of signal strategies on right-turn crash risks by crash movement configuration. Accident Analysis & Prevention. 184. 106993–106993. 7 indexed citations
8.
Sun, Jie & Jiwon Kim. (2023). Toward Data-Driven Simulation of Network-Wide Traffic: A Multi-Agent Imitation Learning Approach Using Urban Vehicle Trajectory Data. IEEE Transactions on Intelligent Transportation Systems. 25(7). 6645–6657. 5 indexed citations
9.
Dan, He, et al.. (2023). Autonomous anomaly detection on traffic flow time series with reinforcement learning. Transportation Research Part C Emerging Technologies. 150. 104089–104089. 16 indexed citations
10.
Kim, Jiwon, et al.. (2023). Estimating Link Flows in Road Networks With Synthetic Trajectory Data Generation: Inverse Reinforcement Learning Approach. IEEE Open Journal of Intelligent Transportation Systems. 4. 14–29. 2 indexed citations
11.
Kim, Jiwon, et al.. (2022). Transformer-based map-matching model with limited labeled data using transfer-learning approach. Transportation Research Part C Emerging Technologies. 140. 103668–103668. 33 indexed citations
12.
He, Dan, et al.. (2022). An Efficient Algorithm for Maximum Trajectory Coverage Query With Approximation Guarantee. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24031–24043. 1 indexed citations
13.
Duives, Dorine C., Guangxing Wang, & Jiwon Kim. (2019). Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data. Sensors. 19(2). 382–382. 31 indexed citations
14.
Yildirimoḡlu, Mehmet & Jiwon Kim. (2018). Identification of communities in urban mobility networks using multi-layer graphs of network traffic. Transportation Research Part C Emerging Technologies. 89. 254–267. 73 indexed citations
15.
Kim, Jiwon, et al.. (2018). Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using Tensor Factorization. IEEE Transactions on Intelligent Transportation Systems. 20(7). 2540–2549. 22 indexed citations
16.
Kim, Jiwon, et al.. (2017). Route choice stickiness of public transport passengers: Measuring habitual bus ridership behaviour using smart card data. Transportation Research Part C Emerging Technologies. 83. 146–164. 64 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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