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.
Oxygen ordering and the orthorhombic-to-tetragonal phase transition inYBa2Cu3O7−x
This map shows the geographic impact of Kuilin Zhang'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 Kuilin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuilin Zhang more than expected).
This network shows the impact of papers produced by Kuilin Zhang. 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 Kuilin Zhang. The network helps show where Kuilin Zhang may publish in the future.
Co-authorship network of co-authors of Kuilin Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuilin Zhang.
A scholar is included among the top collaborators of Kuilin Zhang 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 Kuilin Zhang. Kuilin Zhang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Kuilin, et al.. (2019). A Best-Case Rosenthal Equilibrium based Coordination Mechanism for N-person Online Routing Games of Connected and Automated Vehicles. Digital Commons - Michigan Tech (Michigan Technological University).1 indexed citations
7.
Zhang, Kuilin, et al.. (2018). A comprehensive overview of improving traffic flow observability using UAVs as mobile sensors. Digital Commons - Michigan Tech (Michigan Technological University).1 indexed citations
8.
Zhang, Kuilin, et al.. (2017). Observing Space-time Queueing Dynamics at a Signalized Intersection using Connected Vehicles as Mobile Sensors. Transportation Research Board 96th Annual MeetingTransportation Research Board.2 indexed citations
Zhang, Kuilin, et al.. (2015). A Bayesian Adaptive Inference Approach to Estimating Heterogeneous Gap Acceptance Functions. Transportation Research Board 94th Annual MeetingTransportation Research Board.1 indexed citations
Zhou, Xuesong, Chung‐Cheng Lu, & Kuilin Zhang. (2012). Dynamic Origin-Destination Demand Flow Estimation Under Congested Traffic Conditions: A General Framework. Transportation Research Board 91st Annual MeetingTransportation Research Board.4 indexed citations
15.
Karbowski, Dominik & Kuilin Zhang. (2012). Evaluation of Energy Consumption of Vehicles Along a Stretch of Congested Freeway. Transportation Research Board 91st Annual MeetingTransportation Research Board.2 indexed citations
16.
Zhang, Kuilin, Hani S. Mahmassani, & Peter Vovsha. (2011). Integrated Nested Logit Mode Choice and Dynamic Network Micro-assignment Model Platform to Support Congestion and Pricing Studies: The New York Metropolitan Case. Transportation Research Board 90th Annual MeetingTransportation Research Board.3 indexed citations
17.
Zhang, Kuilin, Hani S. Mahmassani, & Chung‐Cheng Lu. (2009). Probit-Based Time-Dependent Stochastic User Equilibrium: Reformulation and Solution Algorithm. Transportation Research Board 88th Annual MeetingTransportation Research Board.2 indexed citations
18.
Zhang, Kuilin, et al.. (2009). Continuous Simulation-Based Conflict-Point Detection Model for Heterogeneous Mixed Traffic Flows in an Urban Intersection. Transportation Research Board 88th Annual MeetingTransportation Research Board.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.