Yichuan Peng

865 total citations
36 papers, 600 citations indexed

About

Yichuan Peng is a scholar working on Safety, Risk, Reliability and Quality, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Yichuan Peng has authored 36 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Safety, Risk, Reliability and Quality, 11 papers in Building and Construction and 10 papers in Civil and Structural Engineering. Recurrent topics in Yichuan Peng's work include Traffic and Road Safety (24 papers), Traffic Prediction and Management Techniques (11 papers) and Infrastructure Maintenance and Monitoring (8 papers). Yichuan Peng is often cited by papers focused on Traffic and Road Safety (24 papers), Traffic Prediction and Management Techniques (11 papers) and Infrastructure Maintenance and Monitoring (8 papers). Yichuan Peng collaborates with scholars based in China, United States and Singapore. Yichuan Peng's co-authors include Mohamed Abdel‐Aty, Dominique Lord, Rongjie Yu, Xiaobao Yang, Yajie Zou, Ziyou Gao, Qi Shi, Srinivas Reddy Geedipally, Chongyi Li and Zhen Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Yichuan Peng

34 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yichuan Peng China	14	390	178	163	128	113	36	600
Brendan J. Russo United States	12	431 1.1×	254 1.4×	111 0.7×	126 1.0×	86 0.8×	47	625
Valerian Kwigizile United States	13	359 0.9×	263 1.5×	184 1.1×	91 0.7×	104 0.9×	81	622
Ankit Kathuria India	13	280 0.7×	204 1.1×	138 0.8×	176 1.4×	104 0.9×	35	666
Jonathan Wood United States	16	340 0.9×	177 1.0×	136 0.8×	72 0.6×	104 0.9×	35	547
Xianghai Meng China	14	576 1.5×	214 1.2×	194 1.2×	158 1.2×	235 2.1×	26	713
Emmanuel Kidando United States	13	306 0.8×	216 1.2×	200 1.2×	138 1.1×	88 0.8×	55	534
Bahar Dadashova United States	16	416 1.1×	255 1.4×	181 1.1×	234 1.8×	129 1.1×	58	724
Arash Jahangiri United States	13	255 0.7×	289 1.6×	251 1.5×	166 1.3×	111 1.0×	39	688
Byung-Jung Park United States	13	319 0.8×	202 1.1×	178 1.1×	55 0.4×	95 0.8×	27	516

Countries citing papers authored by Yichuan Peng

Since Specialization

Citations

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

Fields of papers citing papers by Yichuan Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichuan Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yichuan Peng. A scholar is included among the top collaborators of Yichuan Peng 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 Yichuan Peng. Yichuan Peng 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

Peng, Yichuan, et al.. (2025). Enhancing Mixed Traffic Flow with Platoon Control and Lane Management for Connected and Autonomous Vehicles. Sensors. 25(3). 644–644. 6 indexed citations

Peng, Yichuan, et al.. (2025). ChiralCat: Molecular chirality classification with enhanced spatial representation using learnable queries. SHILAP Revista de lepidopterología. 3(2). 100091–100091.

Hong, Lang, et al.. (2025). Selecting and optimizing distress feature descriptors from multi-source images for pavement distress classification. International Journal of Transportation Science and Technology. 1 indexed citations

Chen, Zhen, et al.. (2025). Exploring the Impact of Extreme Weather on Urban Road Traffic Networks Based on Percolation Theory. Journal of Transportation Engineering Part A Systems. 151(5).

Wu, Guanyao, Haoyu Liu, Hongming Fu, et al.. (2025). Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond. 17882–17891. 6 indexed citations

Wu, Yutong, et al.. (2024). Failed lane-changing detection and prediction using naturalistic vehicle trajectories. Transportation Research Part C Emerging Technologies. 170. 104939–104939. 3 indexed citations

Hong, Lang, et al.. (2024). Multi-Feature-Filtering-Based Road Curb Extraction from Unordered Point Clouds. Sensors. 24(20). 6544–6544. 1 indexed citations

Li, Chongyi, et al.. (2022). An Optimized Algorithm for Dangerous Driving Behavior Identification Based on Unbalanced Data. Electronics. 11(10). 1557–1557. 8 indexed citations

Wang, Jing, et al.. (2020). Examining partial proportional odds model in analyzing severity of high-speed railway accident. SHILAP Revista de lepidopterología. 3(1). 12–24. 5 indexed citations

10.

Peng, Yichuan, Chongyi Li, Ke Wang, Zhen Gao, & Rongjie Yu. (2020). Examining imbalanced classification algorithms in predicting real-time traffic crash risk. Accident Analysis & Prevention. 144. 105610–105610. 60 indexed citations

11.

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

12.

Zhao, Xi, Dominique Lord, & Yichuan Peng. (2019). Examining Network Segmentation for Traffic Safety Analysis With Data-Driven Spectral Analysis. IEEE Access. 7. 120744–120757. 9 indexed citations

13.

Zou, Yajie, et al.. (2017). Developing a Clustering-Based Empirical Bayes Analysis Method for Hotspot Identification. Journal of Advanced Transportation. 2017. 1–9. 3 indexed citations

14.

Lü, Jian, et al.. (2017). Analysis of factors affecting serious multi-fatality crashes in China based on Bayesian network structure. Advances in Mechanical Engineering. 9(6). 6 indexed citations

15.

Yang, Xiaobao, et al.. (2015). An accelerated failure time model for investigating pedestrian crossing behavior and waiting times at signalized intersections. Accident Analysis & Prevention. 82. 154–162. 46 indexed citations

16.

Peng, Yichuan, Dominique Lord, & Yajie Zou. (2014). Applying the Generalized Waring model for investigating sources of variance in motor vehicle crash analysis. Accident Analysis & Prevention. 73. 20–26. 1 indexed citations

17.

Zou, Yajie, Dominique Lord, Yunlong Zhang, & Yichuan Peng. (2012). Application of the Bayesian Model Averaging in Predicting Motor Vehicle Crashes. Transportation Research Board 91st Annual MeetingTransportation Research Board. 10(1). 4 indexed citations

18.

Peng, Yichuan, Srinivas Reddy Geedipally, & Dominique Lord. (2012). Effect of Roadside Features on Single-Vehicle Roadway Departure Crashes on Rural Two-Lane Roads. Transportation Research Record Journal of the Transportation Research Board. 2309(1). 21–29. 22 indexed citations

19.

Peng, Yichuan & Dominique Lord. (2011). Application of Latent Class Growth Model to Longitudinal Analysis of Traffic Crashes. Transportation Research Record Journal of the Transportation Research Board. 2236(1). 102–109. 16 indexed citations

20.

Lord, Dominique, Marcus A. Brewer, Kay Fitzpatrick, Srinivas Reddy Geedipally, & Yichuan Peng. (2011). Analysis of roadway departure crashes on two-lane rural roads in Texas.. The Portal to Texas History (University of North Texas). 34 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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