Kyounghwan An

593 total citations
10 papers, 423 citations indexed

About

Kyounghwan An is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Kyounghwan An has authored 10 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Control and Systems Engineering. Recurrent topics in Kyounghwan An's work include Autonomous Vehicle Technology and Safety (8 papers), Traffic control and management (4 papers) and Robotic Path Planning Algorithms (4 papers). Kyounghwan An is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Traffic control and management (4 papers) and Robotic Path Planning Algorithms (4 papers). Kyounghwan An collaborates with scholars based in South Korea and United States. Kyounghwan An's co-authors include Samyeul Noh, Soonmin Hwang, Namil Kim, Jae Shin Yoon, In So Kweon, Yukyung Choi, Kibaek Park, Wooyong Han, Byungjae Park and Ju‐Wan Kim and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Computational Design and Engineering and ETRI Journal.

In The Last Decade

Kyounghwan An

10 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyounghwan An South Korea	8	215	185	104	81	53	10	423
Parag Batavia United States	11	272 1.3×	159 0.9×	131 1.3×	93 1.1×	61 1.2×	14	465
Kiyosumi Kidono Japan	13	310 1.4×	181 1.0×	156 1.5×	51 0.6×	29 0.5×	33	527
Claude Laurgeau France	11	228 1.1×	209 1.1×	70 0.7×	66 0.8×	33 0.6×	26	438
Clemens Rabe Germany	11	519 2.4×	261 1.4×	156 1.5×	62 0.8×	63 1.2×	15	701
Chunzhao Guo Japan	13	380 1.8×	343 1.9×	125 1.2×	68 0.8×	32 0.6×	43	611
Min-Chul Lee South Korea	12	131 0.6×	220 1.2×	70 0.7×	82 1.0×	36 0.7×	30	463
Songyi Zhang China	10	202 0.9×	203 1.1×	84 0.8×	150 1.9×	18 0.3×	27	414
Jürgen Wiest Germany	9	168 0.8×	274 1.5×	81 0.8×	79 1.0×	70 1.3×	12	456
Hyunggi Cho United States	7	298 1.4×	179 1.0×	134 1.3×	37 0.5×	34 0.6×	7	487
Takashi Naito Japan	13	358 1.7×	225 1.2×	119 1.1×	34 0.4×	21 0.4×	35	557

Countries citing papers authored by Kyounghwan An

Since Specialization

Citations

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

Fields of papers citing papers by Kyounghwan An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyounghwan An

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Noh, Samyeul & Kyounghwan An. (2022). Reliable, robust, and comprehensive risk assessment framework for urban autonomous driving. Journal of Computational Design and Engineering. 9(5). 1680–1698. 5 indexed citations

2.

Choi, Yukyung, Namil Kim, Soonmin Hwang, et al.. (2018). KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving. IEEE Transactions on Intelligent Transportation Systems. 19(3). 934–948. 246 indexed citations

3.

Noh, Samyeul & Kyounghwan An. (2017). Risk assessment for automatic lane change maneuvers on highways. 247–254. 18 indexed citations

4.

Noh, Samyeul & Kyounghwan An. (2017). Decision-Making Framework for Automated Driving in Highway Environments. IEEE Transactions on Intelligent Transportation Systems. 19(1). 58–71. 82 indexed citations

5.

Noh, Samyeul, Kyounghwan An, & Wooyong Han. (2015). Toward highly automated driving by vehicle-to-infrastructure communications. 2016–2021. 13 indexed citations

6.

Noh, Samyeul, et al.. (2015). Co-Pilot Agent for Vehicle/Driver Cooperative and Autonomous Driving. ETRI Journal. 37(5). 1032–1043. 25 indexed citations

7.

Noh, Samyeul, Kyounghwan An, & Wooyong Han. (2015). Situation assessment and behavior decision for vehicle/driver cooperative driving in highway environments. 25. 626–633. 8 indexed citations

8.

Noh, Samyeul, Kyounghwan An, & Wooyong Han. (2015). High-Level Data Fusion Based Probabilistic Situation Assessment for Highly Automated Driving. 2. 1587–1594. 12 indexed citations

9.

An, Kyounghwan, et al.. (2011). Automatic Valet Parking System incorporating a nomadic device and parking servers. 111–112. 12 indexed citations

10.

An, Kyounghwan & Ju‐Wan Kim. (2005). Moving objects management system supporting location data stream. Computational intelligence. 99–104. 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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