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.
Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment
This map shows the geographic impact of Joyoung Lee'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 Joyoung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joyoung Lee more than expected).
This network shows the impact of papers produced by Joyoung Lee. 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 Joyoung Lee. The network helps show where Joyoung Lee may publish in the future.
Co-authorship network of co-authors of Joyoung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Joyoung Lee.
A scholar is included among the top collaborators of Joyoung Lee 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 Joyoung Lee. Joyoung Lee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Malikopoulos, Andreas A., et al.. (2018). Speed Harmonization Using Optimal Control Algorithm Under Mixed Traffic of Connected-Automated and Human Driven Vehicles. Transportation Research Board 97th Annual MeetingTransportation Research Board.2 indexed citations
10.
Lee, Joyoung, et al.. (2017). Evaluations of Managed Lane Strategies for Arterial Deployment of Cooperative Adaptive Cruise Control. Transportation Research Board 96th Annual MeetingTransportation Research Board.6 indexed citations
11.
Lee, Joyoung, et al.. (2015). Short-term Freeway Work Zone Capacity Estimation Using Support Vector Machine Incorporated with Probe-vehicle Data. Transportation Research Board 94th Annual MeetingTransportation Research Board.3 indexed citations
12.
Lee, Joyoung, et al.. (2015). Examining the Applicability of Small Quadcopter Drone for Traffic Surveillance and Roadway Incident Monitoring. Transportation Research Board 94th Annual MeetingTransportation Research Board.21 indexed citations
13.
Lu, Xiao‐Yun, Joyoung Lee, Danjue Chen, et al.. (2014). Freeway Micro-simulation Calibration: Case Study Using Aimsun and VISSIM with Detailed Field Data. Transportation Research Board 93rd Annual MeetingTransportation Research Board.25 indexed citations
14.
Lee, Joyoung, Daniel J. Dailey, Joe Bared, & Byungkyu Park. (2013). Simulation-Based Evaluations of Real-Time Variable Speed Limit for Freeway Recurring Traffic Congestion. Transportation Research Board 92nd Annual MeetingTransportation Research Board.8 indexed citations
15.
Lee, Joyoung, et al.. (2013). A Simplified Procedure for Calibrating Microscopic Traffic Simulation Models. Transportation Research Board 92nd Annual MeetingTransportation Research Board.2 indexed citations
16.
Lee, Joyoung, et al.. (2011). Safety Assessment of Cooperative Vehicle Infrastructure System–Based Urban Traffic Control.1 indexed citations
Park, Byungkyu, et al.. (2007). Online Implementation of DynaMIT: A Prototype Traffic Estimation and Prediction Program. Transportation Research Board 86th Annual MeetingTransportation Research Board.1 indexed citations
19.
Park, Byungkyu, et al.. (2006). Evaluation of DynaMIT - A Prototype Traffic Estimation and Prediction System. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō.4 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.