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.
Big Data Analytics in Intelligent Transportation Systems: A Survey
2018727 citationsLi Zhu, F. Richard Yu et al.IEEE Transactions on Intelligent Transportation Systemsprofile →
A Survey on Energy-Efficient Train Operation for Urban Rail Transit
2015290 citationsBin Ning, Tao Tang et al.IEEE Transactions on Intelligent Transportation Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Bin Ning'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 Bin Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ning more than expected).
This network shows the impact of papers produced by Bin Ning. 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 Bin Ning. The network helps show where Bin Ning may publish in the future.
Co-authorship network of co-authors of Bin Ning
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Ning.
A scholar is included among the top collaborators of Bin Ning 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 Bin Ning. Bin Ning is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Yu, et al.. (2018). Train Rescheduling and Circulation Planning in Case of Complete Blockade for an Urban Rail Transit Line. Transportation Research Board 97th Annual MeetingTransportation Research Board.3 indexed citations
12.
Schutter, Bart De, et al.. (2014). Origin-Destination Dependent Train Scheduling Problem with Stop-Skipping for Urban Rail Transit Systems. Transportation Research Board 93rd Annual MeetingTransportation Research Board.11 indexed citations
13.
Wang, Yihui, et al.. (2012). Study on ATO Control Algorithm with Consideration of ATP Speed Limits. Journal of the China Railway Society. 34(5). 59–64.15 indexed citations
14.
Gao, Shigen, et al.. (2012). Characteristic model-based golden section adaptive control for high-speed train. Chinese Control Conference. 7326–7331.2 indexed citations
15.
Wang, Yihui, et al.. (2012). Research on the Key Issues of Railway Collision Avoidance System. Journal of the China Railway Society. 34(6). 46–50.1 indexed citations
16.
Dong, Hairong, Li Li, Bin Ning, & Zhongsheng Hou. (2010). Fuzzy tuning of ATO system in train speed control with multiple working conditions. Chinese Control Conference. 1697–1700.6 indexed citations
17.
Ning, Bin. (2003). Remote Courseware for Signals and Systems Based on Matlab Web Server. Jisuanji gongcheng.1 indexed citations
18.
Ning, Bin. (2000). A Study on the Denitration Kinetics of Highly Nitrated Nitrocellulose. Chinese Journal of Explosives and Propellants.1 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.