Jun-Seok Oh

2.7k citations
142 papers · 1.9k · 1 hit paper · h-index 23

Impact in

Papers in

Jun-Seok Oh

127 papers receiving 1.8k citations

Jun-Seok Oh's Hit Papers

Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services 2017 · 310 citations
3100+3+6Years since publication100200300

Peers

Jun-Seok Oh
Comparison fields: 5 of 124
  • Transportation 747
  • Safety, Risk, Reliability and Quality 450
  • Building and Construction 623
  • Automotive Engineering 316
  • Control and Systems Engineering 513
Replace Adel W. Sadek with:
Adel W. Sadek United States
Hwasoo Yeo South Korea
Zhirui Ye China
Stephen G. Ritchie United States
Huapu Lu China
Mashrur Chowdhury United States
Ziyuan Pu China
Anuj Sharma United States
Shawn Turner United States
Rabi G. Mishalani United States
Jun-Seok Oh relative to Adel W. Sadek United States Adel W. Sadek's profile →
Citations per field
00.5×7.5×
Adel W. Sadek · 1×
Citations per year

Countries citing papers authored by Jun-Seok Oh

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Seok Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun-Seok 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 Jun-Seok Oh Line = papers co-authored together Jun-Seok Oh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Hit paper breakdown →
2017310
2 2004103
3 201195
4 200575
5 200573
6 200756
7 202054
8
Considering Risk-Taking Behavior in Travel Time Reliability
200546
9 200245
10 201043
11 200938
12 200736
13 200133
14 201833
15 202031
16 201830
17
Section Travel Time Estimation from Point Detection Data
200229
18 200226
19 200526
20 201625

About Jun-Seok Oh

Jun-Seok Oh is a scholar working on Transportation, Building and Construction, Safety, Risk, Reliability and Quality, Control and Systems Engineering and Automotive Engineering, having authored 142 papers that have together received 1.9k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (39 papers), Traffic and Road Safety (33 papers), Traffic Prediction and Management Techniques (33 papers), Traffic control and management (31 papers), Urban Transport and Accessibility (30 papers), Transportation and Mobility Innovations (12 papers), Atmospheric chemistry and aerosols (7 papers) and Air Quality and Health Impacts (6 papers). The work is most often cited by research in Transportation (747 citations), Safety, Risk, Reliability and Quality (450 citations), Building and Construction (623 citations), Automotive Engineering (316 citations) and Control and Systems Engineering (513 citations). Jun-Seok Oh has collaborated with scholars based in United States, South Korea and Jordan. Frequent co-authors include Valerian Kwigizile, Ala Al‐Fuqaha, Mohsen Guizani, Mehdi Mohammadi, R. Jayakrishnan, Will Recker, Cheol Oh, Stephen G. Ritchie, Henry Liu and Keneth Morgan Kwayu. Their work appears in journals such as Journal of Transport & Health, Accident Analysis & Prevention, Transportation Research Record Journal of the Transportation Research Board, Traffic Injury Prevention and Applied Sciences.

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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