Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Interpretable Dynamic Ensemble Selection Approach for the Prediction of Road Traffic Injury Severity: A Case Study of Pakistan’s National Highway N-5
Afaq Khattak, Hamad Almujibah, Ahmed S. Elamary, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12340-12340
Open Access | Times Cited: 21

Showing 21 citing articles:

Machine learning-enabled analysis of product distribution and composition in biomass-coal co-pyrolysis
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee, et al.
Fuel (2023) Vol. 355, pp. 129464-129464
Open Access | Times Cited: 45
Machine Learning for Road Traffic Accident Improvement and Environmental Resource Management in the Transportation Sector
Mireille Merlise. Megnidio-Tchoukouegno, Jacob Adedayo Adedeji
Sustainability (2023) Vol. 15, Iss. 3, pp. 2014-2014
Open Access | Times Cited: 33
Time-Series Prediction of Intense Wind Shear Using Machine Learning Algorithms: A Case Study of Hong Kong International Airport
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 268-268
Open Access | Times Cited: 13
Leveraging Positive-Unlabeled Learning for Enhanced Black Spot Accident Identification on Greek Road Networks
Vasileios Sevetlidis, George Pavlidis, Spyridon G. Mouroutsos, et al.
Computers (2024) Vol. 13, Iss. 2, pp. 49-49
Open Access | Times Cited: 4
Assessing wind field characteristics along the airport runway glide slope: an explainable boosting machine-assisted wind tunnel study
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity
Bita Ghasemkhani, Kadriye Filiz Balbal, Kökten Ulaş Birant, et al.
Mathematics (2025) Vol. 13, Iss. 2, pp. 310-310
Open Access
Improvements aiming at a safer living environment by analyzing crash severity through the use of boosting-based ensemble learning techniques
Kamran Aziz, Feng Chen, Afaq Khattak
International Journal of Crashworthiness (2025), pp. 1-16
Closed Access
Prediction and Interpretation of Low-Level Wind Shear Criticality Based on Its Altitude above Runway Level: Application of Bayesian Optimization–Ensemble Learning Classifiers and SHapley Additive exPlanations
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Atmosphere (2022) Vol. 13, Iss. 12, pp. 2102-2102
Open Access | Times Cited: 16
A Novel Bayesian Optimized-Combined Kernel & Tree Boost Approach for Road Traffic Crash Severity Analysis
Kamran Aziz, Feng Chen, Afaq Khattak
International Journal of Civil Engineering (2025)
Closed Access
Analyzing severity of vehicle–bicycle crashes: an explainable boosting machine strategy
Sheng Dong, Afaq Khattak, Feng Chen, et al.
Transportation Letters (2025), pp. 1-14
Closed Access
Missed Approach, a Safety-Critical Go-Around Procedure in Aviation: Prediction Based on Machine Learning-Ensemble Imbalance Learning
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Advances in Meteorology (2023) Vol. 2023, pp. 1-24
Open Access | Times Cited: 8
Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 10, pp. 4115-4129
Open Access | Times Cited: 8
Exploring User Experience in Sustainable Transport with Explainable AI Methods Applied to E-Bikes
Annika Laqua, Jan Schnee, Jo Pletinckx, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11277-11277
Open Access | Times Cited: 8
Estimating turbulence intensity along the glide path using wind tunnel experiments combined with interpretable tree-based machine learning algorithms
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Building and Environment (2023) Vol. 239, pp. 110385-110385
Closed Access | Times Cited: 7
Turbulence along the Runway Glide Path: The Invisible Hazard Assessment Based on a Wind Tunnel Study and Interpretable TPE-Optimized KTBoost Approach
Afaq Khattak, Jianping Zhang, Pak Wai Chan, et al.
Atmosphere (2023) Vol. 14, Iss. 6, pp. 920-920
Open Access | Times Cited: 6
Interpretable ensemble-imbalance learning strategy on dealing with imbalanced vehicle-bicycle crash data: A case study of Ningbo, China
Jibiao Zhou, Feng Chen, Afaq Khattak, et al.
International Journal of Crashworthiness (2024) Vol. 29, Iss. 5, pp. 884-897
Closed Access | Times Cited: 2
Prediction of Aircraft Go-Around during Wind Shear Using the Dynamic Ensemble Selection Framework and Pilot Reports
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Atmosphere (2022) Vol. 13, Iss. 12, pp. 2104-2104
Open Access | Times Cited: 9
Prediction of a Pilot’s Invisible Foe: The Severe Low-Level Wind Shear
Afaq Khattak, Pak Wai Chan, Feng Chen, et al.
Atmosphere (2022) Vol. 14, Iss. 1, pp. 37-37
Open Access | Times Cited: 5
Explainable Boosting Machine: A Contemporary Glass-Box Model to Analyze Work Zone-Related Road Traffic Crashes
Raed Alahmadi, Hamad Almujibah, Saleh Alotaibi, et al.
Safety (2023) Vol. 9, Iss. 4, pp. 83-83
Open Access | Times Cited: 2
Predicting Fatality in Road Traffic Accidents: A Review on Techniques and Influential Factors
Lee Voon Hee, Norazlina Khamis, Rafidah Md Noor, et al.
Studies in systems, decision and control (2024), pp. 343-367
Closed Access
Risk Assessment Model and Sensitivity Analysis of Ordinary Arterial Highways Based on RSR–CRITIC–LVSSM–EFAST
Jianjun Wang, Chicheng Ma, Sai Wang, et al.
Sustainability (2022) Vol. 14, Iss. 23, pp. 16096-16096
Open Access | Times Cited: 2
Page 1

Scroll to top