Heekuck Oh
- Civil and Structural Engineering
- Artificial Intelligence
- Automotive Engineering
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- S.C. KothariNorman GarrickLin LiYanheng LiuWeiwen DengJian WangVirginia P. SisiopikuR A Krammes
- Topics
- Neural Networks and Applications (2 papers)Neural Networks and Reservoir Computing (2 papers)Traffic and Road Safety (2 papers)
- Journals
- IET Intelligent Transport SystemsProceedings of the International Conference on Parallel ProcessingTransportation research circular
- Partner nations
- United StatesSouth KoreaIran
In The Last Decade
Heekuck Oh
8 papers receiving 74 citations
Peers
Comparison fields: 5 of 25
- Civil and Structural Engineering 23
- Artificial Intelligence 20
- Automotive Engineering 18
- Computer Vision and Pattern Recognition 14
- Electrical and Electronic Engineering 14
Countries citing papers authored by Heekuck Oh
This map shows the geographic impact of Heekuck 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 Heekuck Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heekuck Oh more than expected).
Fields of papers citing papers by Heekuck Oh
This network shows the impact of papers produced by Heekuck 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 Heekuck Oh. The network helps show where Heekuck Oh may publish in the future.
Co-authorship network of co-authors of Heekuck Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Heekuck Oh. A scholar is included among the top collaborators of Heekuck 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 Heekuck Oh. Heekuck Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 6 | |
| 3 | PROBABILISTIC MODELS FOR PEDESTRIAN CAPACITY AND DELAY AT ROUNDABOUTS | 3 |
| 4 | SEGMENTATION ALGORITHM USING ITERATIVE CLIPPING FOR PROCESSING NOISY PAVEMENT IMAGES | 22 |
| 5 | AUTOMATED PAVEMENT EVALUATION SYSTEM FOR PAVEMENT DISTRESS ASSESSMENT | 1 |
| 6 | USERS MANUAL FOR THE HIGHWAY GEOMETRIC DESIGN CONSISTENCY PROGRAM (ENGLISH UNITS) | 3 |
| 7 | 12 | |
| 8 | Optimal Designs of Linear Flow Systolic Architectures. | 5 |
About Heekuck Oh
Heekuck Oh is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Hardware and Architecture, having authored 8 papers that have together received 76 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Neural Networks and Reservoir Computing (2 papers) and Traffic and Road Safety (2 papers). The work is most often cited by research in Automotive Engineering (18 citations), Civil and Structural Engineering (23 citations) and Hardware and Architecture (6 citations). Heekuck Oh has collaborated with scholars based in United States, South Korea and Iran. Frequent co-authors include S.C. Kothari, Norman Garrick, Lin Li, Yanheng Liu, Weiwen Deng, Jian Wang, Virginia P. Sisiopiku and R A Krammes. Their work appears in journals such as IET Intelligent Transport Systems, Proceedings of the International Conference on Parallel Processing and Transportation research circular.
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.