Yao‐Jan Wu

1.7k total citations
78 papers, 1.3k citations indexed

About

Yao‐Jan Wu is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Yao‐Jan Wu has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Transportation, 47 papers in Building and Construction and 33 papers in Control and Systems Engineering. Recurrent topics in Yao‐Jan Wu's work include Traffic Prediction and Management Techniques (44 papers), Transportation Planning and Optimization (43 papers) and Traffic control and management (33 papers). Yao‐Jan Wu is often cited by papers focused on Traffic Prediction and Management Techniques (44 papers), Transportation Planning and Optimization (43 papers) and Traffic control and management (33 papers). Yao‐Jan Wu collaborates with scholars based in United States, China and Taiwan. Yao‐Jan Wu's co-authors include Xiaolei Ma, Yinhai Wang, Yunpeng Wang, Huimin Wen, Abolfazl Karimpour, Jingxin Xia, Robert Kluger, Xiaofeng Li, Yunteng Lao and Brian L. Smith and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Accident Analysis & Prevention and Transportation Research Part C Emerging Technologies.

In The Last Decade

Yao‐Jan Wu

75 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yao‐Jan Wu United States 19 770 591 345 292 225 78 1.3k
Shawn Turner United States 21 1.1k 1.4× 820 1.4× 488 1.4× 437 1.5× 146 0.6× 109 1.8k
Peter G. Furth United States 24 1.8k 2.3× 693 1.2× 586 1.7× 346 1.2× 583 2.6× 87 2.0k
Xuecai Xu China 15 469 0.6× 365 0.6× 247 0.7× 326 1.1× 183 0.8× 71 907
Younshik Chung South Korea 18 608 0.8× 556 0.9× 316 0.9× 553 1.9× 127 0.6× 52 1.1k
Reginald R. Souleyrette United States 18 358 0.5× 329 0.6× 198 0.6× 419 1.4× 220 1.0× 151 1.2k
Jibiao Zhou China 17 505 0.7× 392 0.7× 180 0.5× 388 1.3× 189 0.8× 61 1.1k
Cesar Quiroga United States 12 341 0.4× 440 0.7× 204 0.6× 98 0.3× 67 0.3× 86 734
Bekir Bartin United States 14 436 0.6× 426 0.7× 424 1.2× 402 1.4× 245 1.1× 76 961
Albert Gan United States 23 1.1k 1.4× 684 1.2× 377 1.1× 1.1k 3.8× 286 1.3× 114 1.9k
Zhenzhou Yuan China 20 620 0.8× 529 0.9× 454 1.3× 283 1.0× 275 1.2× 77 1.2k

Countries citing papers authored by Yao‐Jan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yao‐Jan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao‐Jan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yao‐Jan Wu. A scholar is included among the top collaborators of Yao‐Jan 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 Yao‐Jan Wu. Yao‐Jan Wu 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.
Wu, Yao‐Jan, et al.. (2025). Modeling Influence Area for Urban Signalized Intersections Using Crowdsourced Trajectory Data. Transportation Research Record Journal of the Transportation Research Board. 2679(8). 509–523. 1 indexed citations
2.
Wu, Yao‐Jan, et al.. (2025). Investigating the Impact of Pedestrian Hybrid Beacons on the Effectiveness of Adaptive Traffic Control Systems. Journal of Transportation Engineering Part A Systems. 151(5). 1 indexed citations
3.
Wu, Yao‐Jan, et al.. (2025). Evaluation of Factors Influencing Ramp Metering Compliance Using Controller Event–Based Data. Transportation Research Record Journal of the Transportation Research Board. 2679(11). 306–320.
4.
Wu, Yao‐Jan, et al.. (2025). Modeling dilemma zone at urban signalized intersections using crowdsourced trajectory data. Accident Analysis & Prevention. 219. 108070–108070. 4 indexed citations
5.
Li, Xiaofeng, et al.. (2025). VEMLAN: Imputing missing data for failed freeway traffic sensors. Journal of Intelligent Transportation Systems. 1–15.
6.
Li, Xiaofeng, et al.. (2024). Machine-learning approach for estimating passenger car equivalent factors using crowdsourced data. Transportmetrica A Transport Science. 22(1). 2 indexed citations
7.
Li, Xiaofeng, et al.. (2024). Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona. Journal of Transportation Engineering Part A Systems. 150(7). 6 indexed citations
8.
He, Yang, et al.. (2024). Bayesian Deep Learning Approach for Real-Time Lane-Based Arrival Curve Reconstruction at Intersection Using License Plate Recognition Data. IEEE Transactions on Intelligent Transportation Systems. 26(1). 661–672. 1 indexed citations
9.
Wu, Yao‐Jan, et al.. (2024). Influential factors of pedestrian and bicycle crashes near Pedestrian Hybrid Beacons: Observing trends through an applied analysis. Journal of Transportation Safety & Security. 16(11). 1307–1330. 3 indexed citations
10.
Zhang, Weibin, et al.. (2022). Distributed Signal Control of Arterial Corridors Using Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 24(1). 178–190. 26 indexed citations
11.
Karimpour, Abolfazl, Jason C. Anderson, Sirisha Kothuri, & Yao‐Jan Wu. (2021). Estimating pedestrian delay at signalized intersections using high-resolution event-based data: a finite mixture modeling method. Journal of Intelligent Transportation Systems. 26(5). 511–528. 10 indexed citations
12.
Wu, Yao‐Jan, et al.. (2020). Large-Scale Loop Detector Troubleshooting Using Clustering and Association Rule Mining. Journal of Transportation Engineering Part A Systems. 146(7). 9 indexed citations
13.
Li, Xiaofeng & Yao‐Jan Wu. (2020). Real-time estimation of pedestrian volume at button-activated midblock crosswalks using traffic controller event-based data. Transportation Research Part C Emerging Technologies. 122. 102876–102876. 19 indexed citations
14.
Karimpour, Abolfazl, et al.. (2019). Hybrid data‐driven approach for truck travel time imputation. IET Intelligent Transport Systems. 13(10). 1518–1524. 23 indexed citations
15.
Wu, Yao‐Jan, et al.. (2018). Systematic clustering method to identify and characterise spatiotemporal congestion on freeway corridors. IET Intelligent Transport Systems. 12(8). 826–837. 13 indexed citations
16.
Kluger, Robert, et al.. (2018). Effects of perception on public bike-and-ride: A survey under complex, multifactor mode-choice scenarios. Transportation Research Part F Traffic Psychology and Behaviour. 54. 264–275. 22 indexed citations
17.
Ma, Xiaolei, et al.. (2016). Understanding commuting patterns using transit smart card data. Journal of Transport Geography. 58. 135–145. 270 indexed citations
18.
Chang, Tang‐Hsien, et al.. (2013). Dilemma zone avoidance development: an on‐board approach. IET Intelligent Transport Systems. 7(1). 87–94. 4 indexed citations
19.
Lao, Yunteng, Yao‐Jan Wu, Yinhai Wang, & Xiaoguang Yang. (2012). Applicability of single and double phase mid-block crossings. Proceedings of the Institution of Civil Engineers - Transport. 166(3). 126–136. 3 indexed citations
20.
Lao, Yunteng, Guohui Zhang, Yao‐Jan Wu, & Yinhai Wang. (2011). Modeling animal–vehicle collisions considering animal–vehicle interactions. Accident Analysis & Prevention. 43(6). 1991–1998. 27 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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