Hyondong Oh

3.5k citations
108 papers · 2.4k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Hyondong Oh

102 papers receiving 2.3k citations

Hit Papers

Exploration in deep reinforcement learning: A survey 2022 · 252 citations
252202220262023202450100150200250

Peers

Hyondong Oh
Comparison fields: 5 of 109
  • Aerospace Engineering 1.1k
  • Computer Vision and Pattern Recognition 748
  • Computer Networks and Communications 730
  • Control and Systems Engineering 641
  • Insect Science 226
Replace Farshad Arvin with:
Farshad Arvin United Kingdom
Andrew Howard United States
Luís Merino Spain
Brian White United Kingdom
Jaime del Cerro Spain
Zhaodan Kong United States
Emanuele Garone Belgium
Rui P. Rocha Portugal
Songhwai Oh South Korea
Wisnu Jatmiko Indonesia
Hyondong Oh relative to Farshad Arvin United Kingdom Farshad Arvin's profile →
Citations per field
00.5×5.3×
Farshad Arvin · 1×
Citations per year

Countries citing papers authored by Hyondong Oh

Since Specialization
Citations

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

Fields of papers citing papers by Hyondong Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hyondong Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hyondong Oh Line = papers co-authored together Hyondong Oh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20240
5 20234
6 20231
7 20237
8 20239
9 20224
10 20228
11 202260
12 202234
13
Exploration in deep reinforcement learning: A survey
Hit paper breakdown →
2022252
14 20224
15 20208
16 202029
17 202013
18 20208
19 20194
20
Using Hands-on Project with Lego Mindstorms in a Graduate Course
20147

About Hyondong Oh

Hyondong Oh is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Automotive Engineering, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (27 papers), Adaptive Control of Nonlinear Systems (24 papers), Robotics and Sensor-Based Localization (23 papers), UAV Applications and Optimization (22 papers), Robotic Path Planning Algorithms (20 papers), Guidance and Control Systems (17 papers), Target Tracking and Data Fusion in Sensor Networks (16 papers) and Advanced Chemical Sensor Technologies (11 papers). The work is most often cited by research in Aerospace Engineering (1.1k citations), Computer Vision and Pattern Recognition (748 citations), Computer Networks and Communications (730 citations), Control and Systems Engineering (641 citations) and Insect Science (226 citations). Hyondong Oh has collaborated with scholars based in South Korea, United Kingdom and Vietnam. Frequent co-authors include Seungkeun Kim, Wen‐Hua Chen, Antonios Tsourdos, Michael Hutchinson, Paweł Ładosz, Lilian Weng, Min-Jea Tahk, Hyo‐Sang Shin, Brian White and Yaochu Jin. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Aerospace Science and Technology, Journal of Intelligent & Robotic Systems, Expert Systems with Applications and IEEE Robotics and Automation Letters.

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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