Dongchan Kim

551 total citations
20 papers, 339 citations indexed

About

Dongchan Kim is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Dongchan Kim has authored 20 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Automotive Engineering, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Dongchan Kim's work include Autonomous Vehicle Technology and Safety (13 papers), Robotic Path Planning Algorithms (7 papers) and Vehicle Dynamics and Control Systems (6 papers). Dongchan Kim is often cited by papers focused on Autonomous Vehicle Technology and Safety (13 papers), Robotic Path Planning Algorithms (7 papers) and Vehicle Dynamics and Control Systems (6 papers). Dongchan Kim collaborates with scholars based in South Korea, United Kingdom and United States. Dongchan Kim's co-authors include Kunsoo Huh, Hayoung Kim, Young‐Bum Kim, Karl Stratos, Jong‐Won Park, Ruhi Sarikaya, Yizheng Chen, Jaewoong Choi, Ramakrishnan Durairajan and Abhishek Anand and has published in prestigious journals such as IEEE Access, IEEE Transactions on Vehicular Technology and Mechanical Systems and Signal Processing.

In The Last Decade

Dongchan Kim

19 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dongchan Kim South Korea	11	183	120	85	79	46	20	339
Hayoung Kim South Korea	10	195 1.1×	75 0.6×	69 0.8×	89 1.1×	28 0.6×	16	302
Abderrahmane Boubezoul France	10	90 0.5×	79 0.7×	35 0.4×	49 0.6×	24 0.5×	28	255
Zhisong Zhou China	9	206 1.1×	32 0.3×	76 0.9×	112 1.4×	72 1.6×	16	352
Joshue Pérez Spain	7	190 1.0×	38 0.3×	99 1.2×	91 1.2×	23 0.5×	9	273
Cheng Chang China	11	166 0.9×	42 0.3×	76 0.9×	100 1.3×	68 1.5×	26	353
Shunhui Song China	5	191 1.0×	41 0.3×	47 0.6×	106 1.3×	23 0.5×	6	300
Stephen G. McGill United States	9	120 0.7×	61 0.5×	80 0.9×	75 0.9×	26 0.6×	19	250
Xuxin Cheng China	7	119 0.7×	115 1.0×	64 0.8×	154 1.9×	23 0.5×	21	331
Philip Polack France	4	245 1.3×	35 0.3×	113 1.3×	200 2.5×	20 0.4×	5	325

Countries citing papers authored by Dongchan Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dongchan Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongchan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dongchan Kim. A scholar is included among the top collaborators of Dongchan 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 Dongchan Kim. Dongchan Kim 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

Kim, Dongchan, et al.. (2025). Spatiotemporal Traffic Analysis: Deep Hybrid Approach for Resource and Cyberattacks Prediction. 1–5.

Kim, Dongchan, et al.. (2022). A Hierarchical Motion Planning Framework for Autonomous Driving in Structured Highway Environments. IEEE Access. 10. 20102–20117. 13 indexed citations

Kim, Dongchan, et al.. (2021). DSA-GAN: Driving Style Attention Generative Adversarial Network for Vehicle Trajectory Prediction. 1515–1520. 8 indexed citations

Kim, Dongchan, et al.. (2021). Hybrid Approach for Vehicle Trajectory Prediction Using Weighted Integration of Multiple Models. IEEE Access. 9. 78715–78723. 10 indexed citations

Kim, Dongchan, et al.. (2021). Emergency Collision Avoidance by Steering in Critical Situations. International Journal of Automotive Technology. 22(1). 173–184. 18 indexed citations

Kim, Dongchan, et al.. (2021). An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network. IEEE Access. 9. 149681–149689. 15 indexed citations

Kim, Dongchan, et al.. (2021). Driving Style-Based Conditional Variational Autoencoder for Prediction of Ego Vehicle Trajectory. IEEE Access. 9. 169348–169356. 13 indexed citations

Kim, Dongchan, et al.. (2020). Vehicle sideslip angle estimation using deep ensemble-based adaptive Kalman filter. Mechanical Systems and Signal Processing. 144. 106862–106862. 72 indexed citations

Kim, Hayoung, et al.. (2020). Interaction Aware Trajectory Prediction of Surrounding Vehicles with Interaction Network and Deep Ensemble. 1714–1719. 6 indexed citations

10.

Kim, Hayoung, et al.. (2019). Action Conditioned Response Prediction with Uncertainty for Automated Vehicles. The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry). 1–2. 1 indexed citations

11.

Kim, Dongchan, et al.. (2019). Autonomous Vehicle Trajectory Planning and Control Based on Traffic Motion Prediction. The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry). 1–2. 2 indexed citations

12.

Kim, Dongchan, et al.. (2019). RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble. IEEE Transactions on Vehicular Technology. 68(10). 10252–10256. 59 indexed citations

13.

Kim, Hayoung, Dongchan Kim, & Kunsoo Huh. (2019). Intention Aware Motion Planning with Model Predictive Control in Highway Merge Scenario. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations

14.

Kim, Young‐Bum, et al.. (2018). Efficient Large-Scale Neural Domain Classification with Personalized Attention. 2214–2224. 23 indexed citations

15.

Kim, Dongchan, Hayoung Kim, & Kunsoo Huh. (2018). Trajectory Planning for Autonomous Highway Driving Using the Adaptive Potential Field. 1069–1074. 5 indexed citations

16.

Kim, Dongchan, Hayoung Kim, & Kunsoo Huh. (2017). Local trajectory planning and control for autonomous vehicles using the adaptive potential field. 2017 IEEE Conference on Control Technology and Applications (CCTA). 987–993. 9 indexed citations

17.

Kim, Young‐Bum, Karl Stratos, & Dongchan Kim. (2017). Adversarial Adaptation of Synthetic or Stale Data. 1297–1307. 25 indexed citations

18.

Kim, Young‐Bum, Karl Stratos, & Dongchan Kim. (2017). Domain Attention with an Ensemble of Experts. 34 indexed citations

19.

Kim, Hayoung, et al.. (2017). Intervention minimized semi-autonomous control using decoupled model predictive control. 25. 618–623. 19 indexed citations

20.

Wu, Wenfei, Yizheng Chen, Ramakrishnan Durairajan, et al.. (2013). Adaptive data transmission in the cloud. 1–10. 5 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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