Lingqiao Qin

2.8k total citations · 2 hit papers
42 papers, 2.1k citations indexed

About

Lingqiao Qin is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Lingqiao Qin has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 23 papers in Transportation and 22 papers in Building and Construction. Recurrent topics in Lingqiao Qin's work include Traffic control and management (24 papers), Transportation Planning and Optimization (22 papers) and Traffic Prediction and Management Techniques (21 papers). Lingqiao Qin is often cited by papers focused on Traffic control and management (24 papers), Transportation Planning and Optimization (22 papers) and Traffic Prediction and Management Techniques (21 papers). Lingqiao Qin collaborates with scholars based in United States, China and Canada. Lingqiao Qin's co-authors include Bin Ran, Yuankai Wu, Huachun Tan, Zhuxi Jiang, Xinyue Xu, Yuanli Gu, Zhuangzhuang Shao, Wenqi Lu, Haiying Li and Lei Lin and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lingqiao Qin

41 papers receiving 2.1k citations

Hit Papers

A hybrid deep learning based traffic flow prediction meth... 2018 2026 2020 2023 2018 2021 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lingqiao Qin United States 19 1.4k 1.1k 955 442 360 42 2.1k
Bin Ran China 20 1.5k 1.1× 1.1k 1.0× 1.3k 1.4× 670 1.5× 301 0.8× 94 2.3k
Hwasoo Yeo South Korea 29 919 0.7× 898 0.8× 966 1.0× 685 1.5× 485 1.3× 126 2.2k
Ziyuan Pu China 22 1.1k 0.8× 819 0.8× 716 0.7× 762 1.7× 463 1.3× 67 2.3k
Ashish Bhaskar Australia 29 1.3k 1.0× 1.8k 1.6× 1.3k 1.4× 774 1.8× 637 1.8× 157 3.0k
Haitham Al-Deek United States 24 1.6k 1.2× 1.5k 1.4× 1.0k 1.1× 343 0.8× 533 1.5× 138 2.3k
Anuj Sharma United States 25 895 0.7× 678 0.6× 630 0.7× 363 0.8× 765 2.1× 116 2.0k
Adel W. Sadek United States 25 902 0.7× 833 0.8× 735 0.8× 586 1.3× 315 0.9× 107 1.9k
Daiheng Ni United States 26 848 0.6× 805 0.7× 1.3k 1.3× 738 1.7× 467 1.3× 111 2.2k
Peter J. Jin United States 24 912 0.7× 886 0.8× 1.1k 1.1× 618 1.4× 349 1.0× 112 1.9k
Jun-Seok Oh United States 23 632 0.5× 745 0.7× 519 0.5× 315 0.7× 449 1.2× 141 1.9k

Countries citing papers authored by Lingqiao Qin

Since Specialization
Citations

This map shows the geographic impact of Lingqiao Qin'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 Lingqiao Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingqiao Qin more than expected).

Fields of papers citing papers by Lingqiao Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingqiao Qin. 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 Lingqiao Qin. The network helps show where Lingqiao Qin may publish in the future.

Co-authorship network of co-authors of Lingqiao Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Lingqiao Qin. A scholar is included among the top collaborators of Lingqiao Qin 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 Lingqiao Qin. Lingqiao Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yuxuan, et al.. (2025). Highway capacity of mixed traffic flow with autonomous vehicles: A review. Physica A Statistical Mechanics and its Applications. 671. 130653–130653. 2 indexed citations
2.
Wang, Xianglong, et al.. (2020). Pavement crack analysis by referring to historical crack data based on multi-scale localization. PLoS ONE. 15(8). e0235171–e0235171. 4 indexed citations
3.
Li, Haijian, et al.. (2020). Flow-balanced-based collaborative strategies and simulation of vehicle group behaviors for on-ramp areas. Simulation Modelling Practice and Theory. 103. 102093–102093. 6 indexed citations
4.
Zhang, Junjie, et al.. (2020). Collaborative Strategies and Simulation of Vehicle Group Behaviors for Off-Ramp Areas. Journal of Advanced Transportation. 2020. 1–11. 6 indexed citations
5.
Qin, Lingqiao, et al.. (2019). Understanding driver distractions in fatal crashes: An exploratory empirical analysis. Journal of Safety Research. 69. 23–31. 64 indexed citations
6.
Chang, Xin, Haijian Li, Lingqiao Qin, et al.. (2019). Evaluation of cooperative systems on driver behavior in heavy fog condition based on a driving simulator. Accident Analysis & Prevention. 128. 197–205. 63 indexed citations
7.
Li, Haijian, et al.. (2019). Design and Optimization of a Hybrid Sensor Network for Traffic Information Acquisition. IEEE Sensors Journal. 20(4). 2132–2144. 3 indexed citations
8.
Yao, Zhihong, et al.. (2019). Dynamic platoon dispersion model based on real‐time link travel time. IET Intelligent Transport Systems. 13(11). 1694–1700. 6 indexed citations
9.
Qin, Lingqiao, et al.. (2019). A Novel Left-Turn Signal Control Method for Improving Intersection Capacity in a Connected Vehicle Environment. Electronics. 8(9). 1058–1058. 7 indexed citations
10.
Li, Linchao, Lingqiao Qin, Xu Qu, et al.. (2019). Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm. Knowledge-Based Systems. 172. 1–14. 178 indexed citations
11.
Wu, Yuankai, Huachun Tan, Lingqiao Qin, Bin Ran, & Zhuxi Jiang. (2018). A hybrid deep learning based traffic flow prediction method and its understanding. Transportation Research Part C Emerging Technologies. 90. 166–180. 595 indexed citations breakdown →
12.
Shaw, John, et al.. (2018). Orange Work Zone Pavement Marking Midwest Field Test. Transportation Research Board 97th Annual MeetingTransportation Research Board. 2 indexed citations
13.
Zhao, Wei, et al.. (2018). Improving transfer feasibility for older travelers inside high-speed train station. Transportation Research Part A Policy and Practice. 113. 302–317. 21 indexed citations
14.
Chen, Zhijun, et al.. (2018). Classification of vessel motion pattern in inland waterways based on Automatic Identification System. Ocean Engineering. 161. 69–76. 38 indexed citations
15.
Noyce, David A., et al.. (2018). Virtual Road Safety Audits: Recommended Procedures for Using Driving Simulation and Technology to Expand Existing Practices. 3 indexed citations
16.
Qin, Lingqiao, et al.. (2018). A Variance Maximization Based Weight Optimization Method for Railway Transportation Safety Performance Measurement. Sustainability. 10(8). 2903–2903. 9 indexed citations
17.
Qin, Lingqiao, et al.. (2017). A Novel Feature Extraction Model for Traffic Injury Severity and Its Application to FARS Data Analysis. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Li, Haijian, Lingqiao Qin, Xin Chang, et al.. (2017). Sensor layout strategy and sensitivity analysis for macroscopic traffic flow parameter acquisition. IET Intelligent Transport Systems. 11(4). 212–221. 9 indexed citations
19.
Li, Hong, et al.. (2016). Modeling Left-Turn Driving Behavior at Signalized Intersections with Mixed Traffic Conditions. Mathematical Problems in Engineering. 2016. 1–11. 10 indexed citations
20.
Li, Haijian, et al.. (2016). Sensor Location Problem Optimization for Traffic Network with Different Spatial Distributions of Traffic Information. Sensors. 16(11). 1790–1790. 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.

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