Lingtao Wu

1.4k total citations · 1 hit paper
61 papers, 1.0k citations indexed

About

Lingtao Wu is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Lingtao Wu has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Safety, Risk, Reliability and Quality, 25 papers in Building and Construction and 14 papers in Civil and Structural Engineering. Recurrent topics in Lingtao Wu's work include Traffic and Road Safety (42 papers), Traffic Prediction and Management Techniques (25 papers) and Infrastructure Maintenance and Monitoring (12 papers). Lingtao Wu is often cited by papers focused on Traffic and Road Safety (42 papers), Traffic Prediction and Management Techniques (25 papers) and Infrastructure Maintenance and Monitoring (12 papers). Lingtao Wu collaborates with scholars based in United States, China and South Korea. Lingtao Wu's co-authors include Yajie Zou, Dominique Lord, Xiao Wen, Yuanchang Xie, Liming Jiang, Subasish Das, Byung-Jung Park, Srinivas Reddy Geedipally, Jinjun Tang and Mohammad Jalayer and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Sustainability and Accident Analysis & Prevention.

In The Last Decade

Lingtao Wu

59 papers receiving 998 citations

Hit Papers

align trajectories

What are hit papers?

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.

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

2021 221 citations Lingtao Wu et al. Accident Analysis & Prevention profile →

Peers

Lingtao Wu

SRRQ

TRANS

CSE

Chunjiao Dong China

Mohammad Jalayer United States

Thobias Sando United States

Jibiao Zhou China

Hany M. Hassan United States

Chuanyun Fu China

Linjun Lu China

Απόστολος Ζιακόπουλος Greece

Wen Cheng United States

Chunjiao Dong China

Lingtao Wu

688 ×1.1

SRRQ

307 ×0.9

326 ×1.3

TRANS

146 ×0.7

133 ×0.8

CSE

Citations per year, relative to Lingtao Wu Lingtao Wu (= 1×) peers Chunjiao Dong

Countries citing papers authored by Lingtao Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lingtao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingtao Wu

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

All Works

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20 of 20 papers shown

Zou, Yajie, et al.. (2025). Analyzing mandatory and discretionary lane change interaction patterns using hidden Markov model-based approaches. Advanced Engineering Informatics. 66. 103404–103404. 2 indexed citations

Wu, Lingtao, et al.. (2024). Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Neural Network and Adaptive Unscented Kalman Filter. Electronics. 13(13). 2619–2619. 9 indexed citations

Shipp, Eva M., et al.. (2023). Using motor vehicle crash records for injury surveillance and research in agriculture and forestry. Journal of Safety Research. 86. 21–29. 2 indexed citations

Zou, Yajie, et al.. (2022). Vehicle Acceleration Prediction Based on Machine Learning Models and Driving Behavior Analysis. Applied Sciences. 12(10). 5259–5259. 37 indexed citations

Yong-xin, Peng, et al.. (2022). Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data. Accident Analysis & Prevention. 180. 106925–106925. 15 indexed citations

Zou, Yajie, et al.. (2021). Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management. Journal of Advanced Transportation. 2021. 1–9. 35 indexed citations

Wu, Bing, et al.. (2020). Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches. Journal of Advanced Transportation. 2020. 1–15. 10 indexed citations

Zou, Yajie, et al.. (2020). Exploring the Application of the Linear Poisson Autoregressive Model for Analyzing the Dynamic Impact of Traffic Laws on Fatal Traffic Accident Frequency. Journal of Advanced Transportation. 2020. 1–9. 11 indexed citations

Guo, Xiaoyu, Lingtao Wu, & Dominique Lord. (2020). Generalized criteria for evaluating hotspot identification methods. Accident Analysis & Prevention. 145. 105684–105684. 7 indexed citations

10.

Zou, Yajie, et al.. (2019). Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification. Journal of Advanced Transportation. 2019. 1–13. 9 indexed citations

11.

Zou, Yajie, Jinjun Tang, Xin Ye, et al.. (2019). A Copula-Based Approach for Accommodating the Underreporting Effect in Wildlife‒Vehicle Crash Analysis. Sustainability. 11(2). 418–418. 38 indexed citations

12.

Das, Subasish, et al.. (2019). Understanding crash potential associated with teen driving: Survey analysis using multivariate graphical method. Journal of Safety Research. 70. 213–222. 17 indexed citations

13.

Flannagan, Carol, et al.. (2018). Using Crash Prediction Models with Economic Factors for State Highway Safety Planning. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations

14.

Wu, Lingtao, Bahar Dadashova, Srinivas Reddy Geedipally, Michael P. Pratt, & Mohammadali Shirazi. (2018). Assessing Curve Severity and Crash Rates at Horizontal Curves on Rural Two-Lane Highways Using SHRP 2 Safety Data. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations

15.

Zhang, Fangyuan, et al.. (2016). Classification of 6 edible vegetable oils by gas chromatography combined with chemometrics. 35(11). 1258. 1 indexed citations

16.

Park, Byung-Jung, Dominique Lord, & Lingtao Wu. (2016). Finite mixture modeling approach for developing crash modification factors in highway safety analysis. Accident Analysis & Prevention. 97. 274–287. 24 indexed citations

17.

Park, Byung-Jung, et al.. (2015). Exploring the Relationship between Driver Errors and Age in Vehicle Crash Data. Transportation Research Board 94th Annual MeetingTransportation Research Board. 2 indexed citations

18.

Wu, Lingtao, et al.. (2014). Study on urban road speed limit for pedestrian and bicyclist traffic safety. Chalmers Publication Library (Chalmers University of Technology). 4 indexed citations

19.

Wu, Lingtao, et al.. (2009). Research on Safety of Classified Highway Accesses in Plain Area. Journal of Highway and Transportation Research and Development.

20.

He, Yong, Chao Wang, Fang Zhang, et al.. (2009). Road Traffic Signs and Markings - Part 2: Road Traffic Signs. 13 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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