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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:

Efficient Histogram-Based Gradient Boosting Approach for Accident Severity Prediction With Multisource Data
Mohammad Tamim Kashifi, Irfan Ahmad
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2676, Iss. 6, pp. 236-258
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique
N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, et al.
IEEE Access (2023) Vol. 11, pp. 109477-109487
Open Access | Times Cited: 24
Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis
Mohammad Tamim Kashifi
IATSS Research (2023) Vol. 47, Iss. 3, pp. 357-371
Open Access | Times Cited: 18
Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines
Vinai George Biju, Anna-Maria Schmitt, Bastian Engelmann
Sensors (2024) Vol. 24, Iss. 2, pp. 330-330
Open Access | Times Cited: 5
An Interpretable XGBoost-SHAP Machine Learning Model for Reliable Prediction of Mechanical Properties in Waste Foundry Sand-Based Eco-Friendly Concrete
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Results in Engineering (2025), pp. 104307-104307
Open Access
Integrated Explainable Ensemble Machine Learning Prediction of Injury Severity in Agricultural Accidents
Omer Mermer, Eddie Zhang, İbrahim Demir
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
A Comparative Study of Ensemble Learning Techniques and Mathematical Models for Rigorous Modeling of Solution Gas/Oil Ratio
Hossein Yavari, Jafar Qajar
SPE Journal (2025), pp. 1-26
Closed Access
Evaluating machine learning models for predictive accuracy in cryptocurrency price forecasting
Shavez Mushtaq Qureshi, Atif Saeed, Farooq Ahmad, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2626-e2626
Open Access
Drugs inhibition prediction in P-gp enzyme: a comparative study of machine learning and graph neural network
Maryam Maryam, Mobeen Ur Rehman, Kil To Chong, et al.
Computational Toxicology (2025), pp. 100344-100344
Closed Access
Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data
Liang Xue, Tianqing Zhu
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107568-107568
Closed Access | Times Cited: 10
Robust spatiotemporal crash risk prediction with gated recurrent convolution network and interpretable insights from SHapley additive explanations
Mohammad Tamim Kashifi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107379-107379
Closed Access | Times Cited: 8
Risk-informed longitudinal control in autonomous vehicles: A safety potential field modeling approach
Yichang Shao, Zhongyi Han, Xiaomeng Shi, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 633, pp. 129419-129419
Closed Access | Times Cited: 8
Spatiotemporal grid-based crash prediction—application of a transparent deep hybrid modeling framework
Mohammad Tamim Kashifi, Ibrahim Alsghan, Syed Masiur Rahman, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 23, pp. 20655-20669
Closed Access | Times Cited: 13
Digital Twin-Based Hydrogen Refueling Station (HRS) Safety Model: CNN-Based Decision-Making and 3D Simulation
Na An, Jun Yang, Eunwoo Song, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9482-9482
Open Access | Times Cited: 2
Experimental Evaluation of Boosting Algorithms for Fuel Flame Extinguishment with Acoustic Wave
Raj Gaurang Tiwari, Ambuj Kumar Agarwal, Rupesh Kumar Jindal, et al.
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2022), pp. 413-418
Closed Access | Times Cited: 11
Bus Fleet Accident Prediction Based on Violation Data: Considering the Binding Nature of Safety Violations and Service Violations
Tongqiang Ding, Lianxin Zhang, Jianfeng Xi, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3520-3520
Open Access | Times Cited: 6
Solution gas-oil ratio estimation using histogram gradient boosting regression, machine learning, and mathematical models: a comparative analysis
Hossein Yavari
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 46, Iss. 1, pp. 379-396
Closed Access | Times Cited: 4
Diagnosis of autism spectrum disorder using EEMD and multiscale fluctuation based dispersion entropy with Bayesian optimized light GBM
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65341-65362
Closed Access | Times Cited: 1
A Decision Tree Classifier Based Ensemble Approach to Credit Score Classification
Ashok Maurya, Shivam Gaur
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (2023), pp. 620-624
Closed Access | Times Cited: 2
Deep Hybrid Attention Framework for Road Crash Emergency Response Management
Mohammad Tamim Kashifi
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 8807-8818
Closed Access
Anomaly Detectionin Network Traffic Scenarios by Resampling and Majority Voting with Concept Drift: A Hybrid Approach
Richa Singh, Nidhi Srivastava, Ashwani Kumar
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-7
Closed Access
Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans
Barbara Dietel, Hendrik Andersen, Jan Čermák, et al.
Authorea (Authorea) (2024)
Open Access
Analysis of Supervised Machine-Learning Techniques in Computer Networks Attack Detection
Bruno Guazzelli Batista, Domingos Paes, Carlos Henrique Valério de Moraes
(2024)
Closed Access
Oxygen Content Control in the Electroslag Remelting Process: An Incremental Learning Strategy Based on Optimized Wasserstein Generative Adversarial Network with Gradient Penalty Data Augmentation
Xi Chen, Yanwu Dong, Zhouhua Jiang, et al.
steel research international (2024)
Closed Access
Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans
Barbara Dietel, Hendrik Andersen, Jan Čermák, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 20
Open Access
Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network
Md. Emran Biswas, Tangina Sultana, Ashis Mandal, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4910-4910
Open Access
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