ByeoungDo Kim

931 total citations
7 papers, 604 citations indexed

About

ByeoungDo Kim is a scholar working on Artificial Intelligence, Molecular Biology and Automotive Engineering. According to data from OpenAlex, ByeoungDo Kim has authored 7 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Automotive Engineering. Recurrent topics in ByeoungDo Kim's work include Wireless Signal Modulation Classification (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). ByeoungDo Kim is often cited by papers focused on Wireless Signal Modulation Classification (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). ByeoungDo Kim collaborates with scholars based in South Korea. ByeoungDo Kim's co-authors include Jun Won Choi, Jaekyum Kim, Chang Mook Kang, Chung Choo Chung, Seung Hi Lee, Dongweon Yoon, Junsoo Kim, Jeong Soo Kim, Dongsuk Kum and Seong Hyeon Park and has published in prestigious journals such as Entropy and The Journal of Korean Institute of Information Technology.

In The Last Decade

ByeoungDo Kim

6 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
ByeoungDo Kim South Korea	6	343	260	149	142	118	7	604
Ben Sapp United States	5	250 0.7×	251 1.0×	77 0.5×	438 3.1×	76 0.6×	7	737
Gabi Breuel Germany	13	655 1.9×	183 0.7×	202 1.4×	205 1.4×	238 2.0×	24	785
Marcel Menner United States	9	158 0.5×	127 0.5×	70 0.5×	75 0.5×	472 4.0×	28	724
Dongchun Ren China	12	255 0.7×	150 0.6×	88 0.6×	262 1.8×	69 0.6×	26	499
João Almeida Portugal	13	94 0.3×	84 0.3×	64 0.4×	115 0.8×	47 0.4×	63	496
Sajjad Mozaffari United Kingdom	7	375 1.1×	121 0.5×	162 1.1×	164 1.2×	127 1.1×	15	607
Véronique Cherfaoui France	9	303 0.9×	105 0.4×	123 0.8×	151 1.1×	104 0.9×	19	472
Shengyin Shen United States	9	262 0.8×	104 0.4×	108 0.7×	62 0.4×	199 1.7×	13	497
Sebastian Brechtel Germany	8	527 1.5×	171 0.7×	133 0.9×	203 1.4×	244 2.1×	9	681
Yifan Zhuang China	11	71 0.2×	61 0.2×	193 1.3×	78 0.5×	137 1.2×	30	525

Countries citing papers authored by ByeoungDo Kim

Since Specialization

Citations

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

Fields of papers citing papers by ByeoungDo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ByeoungDo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of ByeoungDo Kim. A scholar is included among the top collaborators of ByeoungDo 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 ByeoungDo Kim. ByeoungDo 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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7 of 7 papers shown

1.

Kim, ByeoungDo, Seong Hyeon Park, Dongsuk Kum, et al.. (2021). LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. 14631–14640. 77 indexed citations

2.

Kim, Jaekyum, et al.. (2018). High Performance Automatic Modulation Recognition Technique for Fading Channels Based on Deep Learning. The Journal of Korean Institute of Information Technology. 16(1). 1–10. 1 indexed citations

3.

Lee, Jung‐Hwan, ByeoungDo Kim, Jaekyum Kim, Dongweon Yoon, & Jun Won Choi. (2017). Deep neural network-based blind modulation classification for fading channels. 551–554. 27 indexed citations

4.

Lee, Jung, Jaekyum Kim, ByeoungDo Kim, Dongweon Yoon, & Jun Won Choi. (2017). Robust Automatic Modulation Classification Technique for Fading Channels via Deep Neural Network. Entropy. 19(9). 454–454. 43 indexed citations

5.

Kang, Chang Mook, et al.. (2017). Autonomous braking system via deep reinforcement learning. 1–6. 114 indexed citations

6.

Kim, ByeoungDo, Chang Mook Kang, Jaekyum Kim, et al.. (2017). Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network. 399–404. 254 indexed citations

7.

Kim, ByeoungDo, et al.. (2016). Deep neural network-based automatic modulation classification technique. 579–582. 88 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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