Young-Dae Hong

52 total papers · 635 total citations
40 papers, 483 citations indexed

About

Young-Dae Hong is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Young-Dae Hong has authored 40 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Aerospace Engineering. Recurrent topics in Young-Dae Hong's work include Robotic Locomotion and Control (27 papers), Prosthetics and Rehabilitation Robotics (23 papers) and Robotic Path Planning Algorithms (14 papers). Young-Dae Hong is often cited by papers focused on Robotic Locomotion and Control (27 papers), Prosthetics and Rehabilitation Robotics (23 papers) and Robotic Path Planning Algorithms (14 papers). Young-Dae Hong collaborates with scholars based in South Korea and United States. Young-Dae Hong's co-authors include Jong-Hwan Kim, Bum‐Joo Lee, Inwon Park, Donghan Kim, Jong-Hwan Kim, Chang‐Soo Park, Ji-Hyeong Han, Ye-Hoon Kim, Si‐Hyun Kim and Hyuk‐Jun Kwon and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and Applied Sciences.

In The Last Decade

Young-Dae Hong

37 papers receiving 477 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Young-Dae Hong 340 168 109 97 67 40 483
Avik De 382 1.1× 202 1.2× 51 0.5× 115 1.2× 87 1.3× 20 488
Ryan W. Sinnet 407 1.2× 213 1.3× 39 0.4× 43 0.4× 49 0.7× 15 479
Rafael Cisneros 310 0.9× 211 1.3× 58 0.5× 43 0.4× 69 1.0× 45 422
Mehdi Benallegue 299 0.9× 187 1.1× 80 0.7× 37 0.4× 35 0.5× 38 410
Pranav A. Bhounsule 319 0.9× 132 0.8× 66 0.6× 82 0.8× 61 0.9× 57 421
Zhongyu Li 272 0.8× 244 1.5× 158 1.4× 54 0.6× 53 0.8× 26 551
Ill-Woo Park 442 1.3× 227 1.4× 60 0.6× 39 0.4× 56 0.8× 21 516
Libo Meng 271 0.8× 113 0.7× 119 1.1× 23 0.2× 89 1.3× 52 524
Ömür Arslan 218 0.6× 154 0.9× 224 2.1× 185 1.9× 98 1.5× 29 528
Soha Pouya 341 1.0× 97 0.6× 26 0.2× 60 0.6× 122 1.8× 19 424

Countries citing papers authored by Young-Dae Hong

Since Specialization
Citations

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

Fields of papers citing papers by Young-Dae Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Dae Hong. 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 Young-Dae Hong. The network helps show where Young-Dae Hong may publish in the future.

Co-authorship network of co-authors of Young-Dae Hong

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

All Works

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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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