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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bayesian approach to model pedestrian crashes at signalized intersections with measurement errors in exposure
Siqi Xie, Ni Dong, S.C. Wong, et al.
Accident Analysis & Prevention (2018) Vol. 121, pp. 285-294
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models
Qiang Zeng, Qianfang Wang, Keke Zhang, et al.
Accident Analysis & Prevention (2023) Vol. 189, pp. 107119-107119
Closed Access | Times Cited: 28
Severity of passenger injuries on public buses: A comparative analysis of collision injuries and non-collision injuries
Hanchu Zhou, Yuan Chen, Ni Dong, et al.
Journal of Safety Research (2020) Vol. 74, pp. 55-69
Closed Access | Times Cited: 47
Towards activity-based exposure measures in spatial analysis of pedestrian–motor vehicle crashes
Ni Dong, Fanyu Meng, Jie Zhang, et al.
Accident Analysis & Prevention (2020) Vol. 148, pp. 105777-105777
Closed Access | Times Cited: 40
On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions
Pengpeng Xu, Hanchu Zhou, S.C. Wong
Accident Analysis & Prevention (2021) Vol. 159, pp. 106237-106237
Open Access | Times Cited: 35
Analyzing Feature Importance for Older Pedestrian Crash Severity: A Comparative Study of DNN Models, Emphasizing Road and Vehicle Types with SHAP Interpretation
Rocksana Akter, Susilawati Susilawati, Hamza Zubair, et al.
Multimodal Transportation (2025), pp. 100203-100203
Open Access
Macro-level accident modeling in Novi Sad: A spatial regression approach
Miloš Pljakić, Dragan Jovanović, Boško Matović, et al.
Accident Analysis & Prevention (2019) Vol. 132, pp. 105259-105259
Closed Access | Times Cited: 39
Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results
Jordanka Kovaceva, András Bálint, Ron Schindler, et al.
Accident Analysis & Prevention (2020) Vol. 136, pp. 105352-105352
Open Access | Times Cited: 37
Exploring the impacts of street layout on the frequency of pedestrian crashes: A micro-level study
Manman Zhu, Haojie Li, N.N. Sze, et al.
Journal of Safety Research (2022) Vol. 81, pp. 91-100
Closed Access | Times Cited: 19
Evaluating the Safety Performance of Left-Turn Signal Phasing: A Roadway-Level Case Study in Utah
Yaobang Gong, Kaitai Yang, Xianfeng Yang
Journal of Transportation Engineering Part A Systems (2025) Vol. 151, Iss. 7
Closed Access
The impact of urban design and the built environment on road traffic crashes: A case study of Rawalpindi, Pakistan
Muhammad Umair, Irfan Ahmad Rana, Rida Hameed Lodhi
Case Studies on Transport Policy (2022) Vol. 10, Iss. 1, pp. 417-426
Closed Access | Times Cited: 17
The immediate effects of vision-zero corridor upgrades on pedestrian crashes in New York: A before-and-after spatial point process approach
Shai Sehtman-Shachar, P.C. Billig, Alfred Stein, et al.
Accident Analysis & Prevention (2024) Vol. 200, pp. 107531-107531
Open Access | Times Cited: 3
Pedestrian crossing design and analysis for symmetric intersections: Efficiency and safety
Liying Tang, Yugang Liu, Jiali Li, et al.
Transportation Research Part A Policy and Practice (2020) Vol. 142, pp. 187-206
Closed Access | Times Cited: 27
Mid-term prediction of at-fault crash driver frequency using fusion deep learning with city-level traffic violation data
Yuan-Wei Wu, Tien‐Pen Hsu
Accident Analysis & Prevention (2020) Vol. 150, pp. 105910-105910
Closed Access | Times Cited: 25
Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data
Pengpeng Xu, Lu Bai, Xin Pei, et al.
Accident Analysis & Prevention (2021) Vol. 165, pp. 106518-106518
Open Access | Times Cited: 23
Comparison of exposure in pedestrian crash analyses: A study based on zonal origin-destination survey data
Haojie Li, Dongyu Wu, Daniel J. Graham, et al.
Safety Science (2020) Vol. 131, pp. 104926-104926
Closed Access | Times Cited: 21
Pedestrian safety at signalized intersections: Spatial and machine learning approaches
Emre Kuşkapan, Mohammad Ali Sahraei, Merve Kayacı Çodur, et al.
Journal of Transport & Health (2021) Vol. 24, pp. 101322-101322
Closed Access | Times Cited: 19
Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency
Ting Lian, Becky P.Y. Loo, Zhuangyuan Fan
Computers Environment and Urban Systems (2023) Vol. 107, pp. 102057-102057
Open Access | Times Cited: 7
Is the safety-in-numbers effect still observed in areas with low pedestrian activities? A case study of a suburban area in the United States
Jaeyoung Lee, Mohamed Abdel‐Aty, Pengpeng Xu, et al.
Accident Analysis & Prevention (2019) Vol. 125, pp. 116-123
Closed Access | Times Cited: 22
An integrated clustering and copula-based model to assess the impact of intersection characteristics on violation-related collisions
Haniyeh Ghomi, Mohamed Hussein
Accident Analysis & Prevention (2021) Vol. 159, pp. 106283-106283
Closed Access | Times Cited: 17
Association of human mobility with road crashes for pandemic-ready safer mobility: A New York City case study
Ni Dong, Jie Zhang, Xiaobo Liu, et al.
Accident Analysis & Prevention (2021) Vol. 165, pp. 106478-106478
Open Access | Times Cited: 17
Temporal stability of associations between crash characteristics: A multiple correspondence analysis
Tien‐Pen Hsu, Yuan-Wei Wu, Albert Y. Chen
Accident Analysis & Prevention (2022) Vol. 168, pp. 106590-106590
Closed Access | Times Cited: 12
Safety of walking trips accessing to public transportation: A Bayesian spatial model in Hong Kong
Junbiao Su, N.N. Sze
Travel Behaviour and Society (2022) Vol. 29, pp. 125-135
Closed Access | Times Cited: 11
Enhancing non-motorist safety by simulating trip exposure using a transportation planning approach
Shamsunnahar Yasmin, Tanmoy Bhowmik, Moshiur Rahman, et al.
Accident Analysis & Prevention (2021) Vol. 156, pp. 106128-106128
Closed Access | Times Cited: 15
Cyclists injured in traffic crashes in Hong Kong: A call for action
Pengpeng Xu, Ni Dong, S.C. Wong, et al.
PLoS ONE (2019) Vol. 14, Iss. 8, pp. e0220785-e0220785
Open Access | Times Cited: 16
The unknown denominator problem in population studies of disease frequency
Christopher N. Morrison, Andrew Rundle, Charles C. Branas, et al.
Spatial and Spatio-temporal Epidemiology (2020) Vol. 35, pp. 100361-100361
Open Access | Times Cited: 14
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