Jiwon Kim

1.1k total citations
45 papers, 769 citations indexed

About

Jiwon Kim is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Jiwon Kim has authored 45 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Transportation, 22 papers in Building and Construction and 11 papers in Control and Systems Engineering. Recurrent topics in Jiwon Kim's work include Transportation Planning and Optimization (25 papers), Traffic Prediction and Management Techniques (22 papers) and Human Mobility and Location-Based Analysis (20 papers). Jiwon Kim is often cited by papers focused on Transportation Planning and Optimization (25 papers), Traffic Prediction and Management Techniques (22 papers) and Human Mobility and Location-Based Analysis (20 papers). Jiwon Kim collaborates with scholars based in Australia, Iran and South Korea. Jiwon Kim's co-authors include Hani S. Mahmassani, Md. Mazharul Haque, Anshuman Sharma, Ashish Bhaskar, Zuduo Zheng, Jie Sun, Seongjin Choi, Hwasoo Yeo, Mahmoud Mesbah and Mehmet Yildirimoḡlu and has published in prestigious journals such as Nature Communications, IEEE Access and Accident Analysis & Prevention.

In The Last Decade

Jiwon Kim

40 papers receiving 754 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 14 403 288 246 207 151 45 769
Lorenzo Mussone Italy 14 351 0.9× 336 1.2× 251 1.0× 114 0.6× 133 0.9× 75 694
Ioannis Kaparias United Kingdom 16 570 1.4× 227 0.8× 182 0.7× 217 1.0× 230 1.5× 76 839
Angshuman Guin United States 14 328 0.8× 377 1.3× 296 1.2× 109 0.5× 112 0.7× 61 670
Mohammed Elhenawy Australia 16 381 0.9× 360 1.3× 256 1.0× 368 1.8× 193 1.3× 111 974
Jingqiu Guo China 17 308 0.8× 328 1.1× 386 1.6× 297 1.4× 199 1.3× 45 773
Francesc Soriguera Spain 15 488 1.2× 370 1.3× 421 1.7× 352 1.7× 107 0.7× 51 881
Ben Waterson United Kingdom 14 344 0.9× 338 1.2× 350 1.4× 239 1.2× 161 1.1× 74 797
Xianbiao Hu United States 18 502 1.2× 343 1.2× 307 1.2× 431 2.1× 161 1.1× 77 1.0k
H.W. Ho Hong Kong 16 700 1.7× 329 1.1× 365 1.5× 211 1.0× 90 0.6× 41 1.0k
Chien‐Hung Wei Taiwan 13 654 1.6× 636 2.2× 278 1.1× 140 0.7× 140 0.9× 30 1.1k

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

20 of 20 papers shown
1.
Lee, Eun Jung, Jiwon Kim, You-Jin Song, et al.. (2025). Single-cell analysis reveals a longitudinal trajectory of meningioma evolution and heterogeneity. Nature Communications. 16(1). 5481–5481. 1 indexed citations
2.
3.
Kim, Jiwon & Min Jun Kim. (2024). Disturbance-Aware Model Predictive Control of Underactuated Robotics Systems. 11985–11992.
4.
Kim, Jiwon, et al.. (2024). Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model. IEEE Access. 12. 184311–184326. 4 indexed citations
5.
He, Dan, et al.. (2023). Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model. 245–254. 1 indexed citations
6.
7.
Sharma, Anshuman, Zuduo Zheng, Jiwon Kim, Ashish Bhaskar, & Md. Mazharul Haque. (2021). Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors. Transportation Research Part C Emerging Technologies. 124. 102934–102934. 113 indexed citations
8.
Sun, Jie & Jiwon Kim. (2021). Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks. Transportation Research Part C Emerging Technologies. 128. 103114–103114. 66 indexed citations
9.
Kim, Jiwon, et al.. (2020). A Study on Strengthening Personal Information Sovereignty through Analysis of Domestic Service Cases and Research Projects of Self-Sovereign Identity Technology. 13(6). 575–589. 1 indexed citations
10.
Mesbah, Mahmoud, et al.. (2020). Investigating the Correlation between Activity Similarity and Trip Similarity of Public Transit Passengers Using Smart Card Data. Transportation research procedia. 48. 2621–2637. 1 indexed citations
11.
Mesbah, Mahmoud, et al.. (2019). Comparing Sequential with Combined Spatiotemporal Clustering of Passenger Trips in the Public Transit Network Using Smart Card Data. Mathematical Problems in Engineering. 2019(1). 9 indexed citations
12.
Mesbah, Mahmoud, et al.. (2019). Behavioural advertising in the public transit network. Research in Transportation Business & Management. 32. 100421–100421. 14 indexed citations
13.
Mesbah, Mahmoud, et al.. (2018). Inferring socioeconomic attributes of public transit passengers using classifiers. Queensland's institutional digital repository (The University of Queensland). 7 indexed citations
14.
Mesbah, Mahmoud, et al.. (2018). A model for measuring activity similarity between public transit passengers using smart card data. Travel Behaviour and Society. 13. 11–25. 21 indexed citations
15.
Wang, Guangxing & Jiwon Kim. (2017). A large scale neural network model for crash prediction in urban road networks. Queensland's institutional digital repository (The University of Queensland).
16.
Wang, Guangxing & Jiwon Kim. (2016). The prediction of traffic congestion and incident on urban road networks using Naive Bayes classifier. Queensland's institutional digital repository (The University of Queensland). 10 indexed citations
17.
Kim, Jiwon, et al.. (2016). Real-time information system for spreading rail passengers across train carriages: agent-based simulation study. Queensland's institutional digital repository (The University of Queensland). 8 indexed citations
18.
Hasan, Mahmud & Jiwon Kim. (2016). Analysing functional connectivity and causal dependence in road traffic networks with Granger causality. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations
19.
Kim, Jiwon, et al.. (2016). Graph-based analysis of city-wide traffic dynamics using time-evolving graphs of trajectory data. Queensland's institutional digital repository (The University of Queensland). 6 indexed citations
20.
Kim, Jiwon & Guangxing Wang. (2016). Diagnosis and Prediction of Traffic Congestion on Urban Road Networks Using Bayesian Networks. Transportation Research Record Journal of the Transportation Research Board. 2595(1). 108–118. 36 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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