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.
This map shows the geographic impact of Yibing Wang'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 Yibing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yibing Wang more than expected).
This network shows the impact of papers produced by Yibing Wang. 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 Yibing Wang. The network helps show where Yibing Wang may publish in the future.
Co-authorship network of co-authors of Yibing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yibing Wang.
A scholar is included among the top collaborators of Yibing Wang 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 Yibing Wang. Yibing Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Guo, Jingqiu, et al.. (2019). GPS-Based Traffic Congestion Prediction using CNN-RNN and C3D Hybrid Model. Transportation Research Board 98th Annual MeetingTransportation Research Board.1 indexed citations
Wang, Yibing, et al.. (2018). A Novel Approach to Missing Ramp Flow Imputation Using Machine Learning. Transportation Research Board 97th Annual MeetingTransportation Research Board.1 indexed citations
12.
Wang, Yibing, et al.. (2017). Shockwave Analysis of Freeway Congestions. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
13.
Suh, Yunjae, Sungho Kim, Heejae Jung, et al.. (2017). 4.1 A 640*480 dynamic vision sensor with a 9.MU.m pixel and 300Meps address-event representation. IEEE Conference Proceedings. 2017. 67.
14.
Chen, Zhenhong, et al.. (2009). Influencing factors on coal-bed methane production of single well:A case of Fanzhuang Block in the south part of Qinshui Basin. Acta Petrologica Sinica. 30(3). 409–412.15 indexed citations
15.
Papamichail, Ioannis, et al.. (2008). REAL-TIME WORK ZONE MANAGEMENT FOR THROUGHPUT MAXIMIZATION. Transportation Research Board 87th Annual MeetingTransportation Research Board. 1–16.10 indexed citations
16.
Wang, Yibing, et al.. (2007). Local ramp metering in the presence of a distant downstream bottleneck. Transportation Research Board 86th Annual MeetingTransportation Research Board. 1–27.4 indexed citations
17.
Wang, Yibing, et al.. (2007). Extended field test of a real-time freeway network traffic state estimator. Transportation Research Board 86th Annual MeetingTransportation Research Board. 1–30.1 indexed citations
18.
Papageorgiou, Markos, Elias B. Kosmatopoulos, Ioannis Papamichail, & Yibing Wang. (2007). ALINEA maximises motorway throughput - an answer to flawed criticism. Traffic engineering & control. 48(6). 271–276.24 indexed citations
19.
Wang, Yibing, Markos Papageorgiou, & Albert Meßmer. (2006). Investigation of Adaptive Features of a Real-Time Freeway Traffic State Estimator. Transportation Research Board 85th Annual MeetingTransportation Research Board.1 indexed citations
20.
Wang, Yibing, Markos Papageorgiou, & Albert Meßmer. (2003). A PREDICTIVE FEEDBACK ROUTING CONTROL STRATEGY FOR FREEWAY NETWORK TRAFFIC.5 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.