Sejoon Lim

618 total citations
29 papers, 405 citations indexed

About

Sejoon Lim is a scholar working on Automotive Engineering, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sejoon Lim has authored 29 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 8 papers in Experimental and Cognitive Psychology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sejoon Lim's work include Autonomous Vehicle Technology and Safety (8 papers), Emotion and Mood Recognition (6 papers) and Traffic Prediction and Management Techniques (6 papers). Sejoon Lim is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Emotion and Mood Recognition (6 papers) and Traffic Prediction and Management Techniques (6 papers). Sejoon Lim collaborates with scholars based in South Korea, United States and Mexico. Sejoon Lim's co-authors include Daniela Rus, Javed A. Aslam, Xinghao Pan, Ji Hyun Yang, Hari Balakrishnan, Samuel Madden, David Gifford, Sung‐Wook Hwang, Sangho Lee and Daun Jeong and has published in prestigious journals such as IEEE Access, Sensors and The International Journal of Robotics Research.

In The Last Decade

Sejoon Lim

29 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sejoon Lim South Korea	11	155	128	104	76	68	29	405
Yifan Zhuang China	11	116 0.7×	193 1.5×	71 0.7×	78 1.0×	137 2.0×	30	525
Arief Koesdwiady Canada	6	190 1.2×	269 2.1×	68 0.7×	30 0.4×	191 2.8×	10	455
Thierry Derrmann Luxembourg	6	64 0.4×	85 0.7×	214 2.1×	64 0.8×	49 0.7×	13	329
Felix Klanner Germany	11	82 0.5×	121 0.9×	312 3.0×	128 1.7×	151 2.2×	20	610
Jeff Ban United States	8	183 1.2×	153 1.2×	66 0.6×	30 0.4×	138 2.0×	15	503
Pranamesh Chakraborty United States	11	100 0.6×	224 1.8×	92 0.9×	144 1.9×	51 0.8×	24	460
Mohamed Fazeen United States	4	40 0.3×	74 0.6×	122 1.2×	63 0.8×	19 0.3×	6	301
Geqi Qi China	14	240 1.5×	206 1.6×	208 2.0×	19 0.3×	109 1.6×	44	532
Tang‐Hsien Chang Taiwan	12	274 1.8×	237 1.9×	167 1.6×	35 0.5×	319 4.7×	34	532
Haluk Eren Türkiye	10	33 0.2×	59 0.5×	207 2.0×	121 1.6×	65 1.0×	30	424

Countries citing papers authored by Sejoon Lim

Since Specialization

Citations

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

Fields of papers citing papers by Sejoon Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sejoon Lim

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

Lim, Sejoon, et al.. (2024). Emotion Recognition Using Transformers with Random Masking. 4860–4865. 4 indexed citations

Lee, Myeongkyu, et al.. (2023). Effect of emotion on galvanic skin response and vehicle control data during simulated driving. Transportation Research Part F Traffic Psychology and Behaviour. 93. 90–105. 8 indexed citations

Lim, Sejoon, et al.. (2023). Deep Learning-Based Driver’s Hands on/off Prediction System Using In-Vehicle Data. Sensors. 23(3). 1442–1442. 2 indexed citations

Lim, Sejoon, et al.. (2023). One-Stage Brake Light Status Detection Based on YOLOv8. Sensors. 23(17). 7436–7436. 25 indexed citations

Lee, Hyungjun & Sejoon Lim. (2022). PU-MFA: Point Cloud Up-Sampling via Multi-Scale Features Attention. Sensors. 22(23). 9308–9308. 2 indexed citations

Yang, Ji Hyun, et al.. (2022). Multimodal Data Collection System for Driver Emotion Recognition Based on Self-Reporting in Real-World Driving. Sensors. 22(12). 4402–4402. 7 indexed citations

Kim, Hee-Jung, et al.. (2022). Deep Reinforcement Learning Based Dynamic Proportional-Integral (PI) Gain Auto-Tuning Method for a Robot Driver System. IEEE Access. 10. 31043–31057. 8 indexed citations

Lee, Seungjoon, Sejoon Lim, & Ji Hyun Yang. (2022). Effect of Driving Tendencies on Driving Characteristics in Cut-In and Emergency Braking Situations. International Journal of Automotive Technology. 23(2). 315–326. 1 indexed citations

Lim, Sejoon, et al.. (2022). Unsupervised Anomaly Detection Approach for Shift Quality Assessment Using Deep Neural Networks. 2022 IEEE Intelligent Vehicles Symposium (IV). 492–497. 1 indexed citations

10.

Kim, Hee-Jung, et al.. (2021). Development of a Simple Robotic Driver System (SimRoDS) to Test Fuel Economy of Hybrid Electric and Plug-In Hybrid Electric Vehicles Using Fuzzy-PI Control. Electronics. 10(12). 1444–1444. 6 indexed citations

11.

Yang, Ji Hyun, et al.. (2021). DRER: Deep Learning–Based Driver’s Real Emotion Recognizer. Sensors. 21(6). 2166–2166. 33 indexed citations

12.

Lim, Sejoon. (2021). Tackling Privacy Paradox : Protecting Right to Self-determination of Personal Information by Estimating the Economic Value of Personal Information and Visualizing the Price. 13(2). 244–259. 1 indexed citations

13.

Lim, Sejoon, et al.. (2021). Causal affect prediction model using a past facial image sequence. 3543–3549. 10 indexed citations

14.

Lim, Sejoon, et al.. (2020). Autonomous Vehicle Fuel Economy Optimization with Deep Reinforcement Learning. Electronics. 9(11). 1911–1911. 12 indexed citations

15.

Lim, Sejoon, et al.. (2018). HMM-Based Indoor Localization Using Smart Watches' BLE Signals. 296–302. 9 indexed citations

16.

Jeong, Daun, et al.. (2018). Real-time Driver Identification using Vehicular Big Data and Deep Learning. 123–130. 20 indexed citations

17.

Lim, Sejoon, et al.. (2018). Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data. 10. 1142–1149. 1 indexed citations

18.

Aslam, Javed A., Sejoon Lim, & Daniela Rus. (2012). Congestion-aware Traffic Routing System using sensor data. 1. 1006–1013. 15 indexed citations

19.

Lim, Sejoon, Hari Balakrishnan, David Gifford, Samuel Madden, & Daniela Rus. (2010). Stochastic motion planning and applications to traffic. The International Journal of Robotics Research. 30(6). 699–712. 44 indexed citations

20.

Balakrishnan, Hari, et al.. (2008). PCP. 353–354. 2 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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