Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services
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).
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-authorship network of co-authors of Jun-Seok Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Seok Oh.
A scholar is included among the top collaborators of Jun-Seok 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 Jun-Seok Oh. Jun-Seok Oh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Oh, Jun-Seok, et al.. (2018). Estimating and Enhancing Public Transit Accessibility for People with Mobility Limitations: A Community-Based Case Study Using Open-Source Data. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
9.
Kwayu, Keneth Morgan, Valerian Kwigizile, & Jun-Seok Oh. (2016). Investigating the Correlation Between Factors Contributing to Pedestrian Involved Crashes and Their Impact on Crash Severity. Transportation Research Board 95th Annual MeetingTransportation Research Board.
10.
Kwigizile, Valerian, et al.. (2016). Evaluating the Effectiveness of Pedestrian Countdown Signals on the Safety of Pedestrians in Michigan. Transportation Research Board 95th Annual MeetingTransportation Research Board.1 indexed citations
11.
Oh, Jun-Seok, et al.. (2015). A Study on the Contribution of Each PM2.5 Source in Seoul using Receptor Models. 15(1). 7–16.2 indexed citations
12.
Kwigizile, Valerian, et al.. (2014). Investigating Crash Frequency and Injury Severity at Freeway Weigh Stations in Michigan. Transportation Research Board 93rd Annual MeetingTransportation Research Board.1 indexed citations
13.
Oh, Jun-Seok, et al.. (2014). A study on the Behavior of the Black Carbon at Baengnyeong Island of Korea Peninsular. 14(2). 67–76.3 indexed citations
14.
Oh, Jun-Seok, et al.. (2012). The difference of awareness between public institutions and private enterprises for cloud computing security. International Journal of Security and Its Applications. 6(3). 1–10.12 indexed citations
Dion, François, et al.. (2009). VII Test Bed Simulation Framework for Vehicle-to-Infrastructure Communication and Application Evaluations. Transportation Research Board 88th Annual MeetingTransportation Research Board.3 indexed citations
Recker, Will, Younshik Chung, Jiyoung Park, et al.. (2005). Considering Risk-Taking Behavior in Travel Time Reliability. eScholarship (California Digital Library).45 indexed citations
19.
Liu, Henry X., et al.. (2001). On-line Traffic Signal Control Scheme with Real-time Delay Estimation Technology. eScholarship (California Digital Library).1 indexed citations
20.
Jayakrishnan, R., et al.. (1999). Event-based ATIS: Practical Implementation and Evaluation of Optimized Strategies (Part I). eScholarship (California Digital Library).2 indexed citations
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.