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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:

Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques
Mahdi Aghaabbasi, Zohreh Asadi-Shekari, Muhammad Zaly Shah, et al.
Transportation Research Part A Policy and Practice (2020) Vol. 136, pp. 262-281
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
Danial Jahed Armaghani, Panagiotis G. Asteris
Neural Computing and Applications (2020) Vol. 33, Iss. 9, pp. 4501-4532
Closed Access | Times Cited: 323
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling
Binh Thai Pham, Manh Duc Nguyen, T. Nguyen‐Thoi, et al.
Transportation Geotechnics (2020) Vol. 27, pp. 100508-100508
Closed Access | Times Cited: 100
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance
Jie Zeng, Bishwajit Roy, Deepak Kumar, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 3811-3827
Closed Access | Times Cited: 89
On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice
Mahdi Aghaabbasi, Mujahid Ali, Michał Jasiński, et al.
IEEE Access (2023) Vol. 11, pp. 19762-19774
Open Access | Times Cited: 35
Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review
Mahdi Aghaabbasi, Saksith Chalermpong
Travel Behaviour and Society (2023) Vol. 33, pp. 100640-100640
Closed Access | Times Cited: 24
Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels
Jie Zeng, Panayiotis C. Roussis, Ahmed Salih Mohammed, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3705-3705
Open Access | Times Cited: 41
Optimization of SVR functions for flyrock evaluation in mine blasting operations
Jiandong Huang, Junhua Xue
Environmental Earth Sciences (2022) Vol. 81, Iss. 17
Closed Access | Times Cited: 31
Machine learning approach for spatial modeling of ridesourcing demand
Xiaojian Zhang, Xilei Zhao
Journal of Transport Geography (2022) Vol. 100, pp. 103310-103310
Closed Access | Times Cited: 29
Review of bike-sharing system studies using bibliometrics method
Jibiao Zhou, Yanyong Guo, Jian Sun, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2022) Vol. 9, Iss. 4, pp. 608-630
Open Access | Times Cited: 29
An Advanced Machine Learning Approach to Predicting Pedestrian Fatality Caused by Road Crashes: A Step toward Sustainable Pedestrian Safety
Wenlong Tao, Mahdi Aghaabbasi, Mujahid Ali, et al.
Sustainability (2022) Vol. 14, Iss. 4, pp. 2436-2436
Open Access | Times Cited: 28
Advanced Tree-Based Techniques for Predicting Unconfined Compressive Strength of Rock Material Employing Non-Destructive and Petrographic Tests
Yuzhen Wang, Mahdi Hasanipanah, Ahmad Safuan A. Rashid, et al.
Materials (2023) Vol. 16, Iss. 10, pp. 3731-3731
Open Access | Times Cited: 20
Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications
Jishi Wu, Peng Jia, Tao Feng, et al.
Transportation Research Part D Transport and Environment (2023) Vol. 121, pp. 103839-103839
Open Access | Times Cited: 17
Comparative Analysis of the Optimized KNN, SVM, and Ensemble DT Models Using Bayesian Optimization for Predicting Pedestrian Fatalities: An Advance towards Realizing the Sustainable Safety of Pedestrians
Lei Yang, Mahdi Aghaabbasi, Mujahid Ali, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10467-10467
Open Access | Times Cited: 27
Research on Passengers’ Preferences and Impact of High-Speed Rail on Air Transport Demand
Asep Yayat Nurhidayat, Hera Widyastuti, Sutikno Sutikno, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3060-3060
Open Access | Times Cited: 14
Determinants of passengers' ticketing channel choice in rail transit systems: New evidence of e-payment behaviors from Xi'an, China
Xiaowei Li, Lanxin Shi, Junqing Tang, et al.
Transport Policy (2023) Vol. 140, pp. 30-41
Closed Access | Times Cited: 14
A new development of ANFIS-Based Henry gas solubility optimization technique for prediction of soil shear strength
Wangfei Ding, Manh Duc Nguyen, Ahmed Salih Mohammed, et al.
Transportation Geotechnics (2021) Vol. 29, pp. 100579-100579
Closed Access | Times Cited: 31
A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass
Zimu Li, Behnam Yazdani Bejarbaneh, Panagiotis G. Asteris, et al.
Soft Computing (2021) Vol. 25, Iss. 17, pp. 11877-11895
Closed Access | Times Cited: 30
Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model
Yufeng Qian, Mahdi Aghaabbasi, Mujahid Ali, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11916-11916
Open Access | Times Cited: 28
Intelligence Prediction of Some Selected Environmental Issues of Blasting: A Review
Bhatawdekar Ramesh Murlidhar, Danial Jahed Armaghani, Edy Tonnizam Mohamad
The Open Construction and Building Technology Journal (2020) Vol. 14, Iss. 1, pp. 298-308
Open Access | Times Cited: 30
Modeling hesitancy in airport choice: A comparison of discrete choice and machine learning methods
Jing Lu, Yucan Meng, Harry Timmermans, et al.
Transportation Research Part A Policy and Practice (2021) Vol. 147, pp. 230-250
Closed Access | Times Cited: 23
Exploring multi-homing behavior of ride-sourcing drivers via real-world multiple platforms data
Jingru Yu, Dong Mo, Ningke Xie, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2021) Vol. 80, pp. 61-78
Closed Access | Times Cited: 23
Factors Influencing Pile Friction Bearing Capacity: Proposing a Novel Procedure Based on Gradient Boosted Tree Technique
Chia Yu Huat, Seyed Mohammad Hossein Moosavi, Ahmed Salih Mohammed, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 11862-11862
Open Access | Times Cited: 23
Research on Nonlinear Associations and Interactions for Short-Distance Travel Mode Choice of Car Users
Mingwei He, Lijuan Pu, Yang Liu, et al.
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 16
Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier
Samira Ahangari, Mansoureh Jeihani, Anam Ardeshiri, et al.
Transportation Research Record Journal of the Transportation Research Board (2021) Vol. 2675, Iss. 11, pp. 612-622
Closed Access | Times Cited: 18
An empirical study on characteristics of supply in e-hailing markets: a clustering approach
Mohsen Ramezani, Yue Yang, Jacob Elmasry, et al.
Transportation Letters (2022) Vol. 15, Iss. 7, pp. 645-658
Closed Access | Times Cited: 13
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