Se‐Young Oh

116 papers receiving 2.6k citations

Hit Papers

Three-axis attitude determination from vector observations198120261996201119812505007501000

Peers

Se‐Young Oh
Comparison fields: 5 of 118
  • Aerospace Engineering 1.5k
  • Computer Vision and Pattern Recognition 900
  • Electrical and Electronic Engineering 598
  • Artificial Intelligence 566
  • Control and Systems Engineering 442
Replace Liam Paull with:
Liam Paull Canada
Jizhong Xiao United States
Maurice Fallon United Kingdom
Lincheng Shen China
Tianhong Yan China
Niko Sünderhauf Australia
Stan Birchfield United States
Agostino Martinelli France
David M. Bevly United States
Xin Ma China
Se‐Young Oh relative to Liam Paull Canada Liam Paull's profile →
Citations per field
00.5×1.5×
Liam Paull · 1×
Citations per year

Countries citing papers authored by Se‐Young Oh

Since Specialization
Citations

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

Fields of papers citing papers by Se‐Young Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Se‐Young Oh

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 9
4 1
5 17
6 5
7 10
8 9
9
Choosing regularization parameter by global L-curve criterion
1
10
Fast and efficient traversable region extraction using quantized elevation map and 2D laser rangefinder
2
11 17
12 1
13
Robust Automatic Parking without Odometry using an Evolutionary Fuzzy Logic Controller
16
14 1
15 6
16 70
17
Front and Rear Vehicle Detection and Tracking in the Day and Night Time Using Vision and Sonar Sensors
2
18 1
19
A New Fast Evolutionary Programming Algorithm for Continuous Function Optimization.
1
20
ITERATIVE METHODS FOR LARGE-SCALE CONVEX QUADRATIC AND CONCAVE PROGRAMS
0

About Se‐Young Oh

Se‐Young Oh is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Numerical Analysis, having authored 129 papers that have together received 2.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (43 papers), Robotic Path Planning Algorithms (22 papers) and Advanced Vision and Imaging (16 papers). The work is most often cited by research in Aerospace Engineering (1.5k citations), Computer Vision and Pattern Recognition (900 citations) and Oceanography (339 citations). Se‐Young Oh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include M.D. Shuster, Young‐Ho Choi, Tae‐Kyeong Lee, Sanghoon Baek, David E. Orin, Hyun‐Chul Choi, Doo-Hyun Choi, Wonseok Choi, Bumjoon J. Kim and Seunghyun Baik. Their work appears in journals such as Advanced Functional Materials, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

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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