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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:

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
Daniel Asante Otchere, Tarek Ganat, Raoof Gholami, et al.
Journal of Petroleum Science and Engineering (2020) Vol. 200, pp. 108182-108182
Closed Access | Times Cited: 355

Showing 1-25 of 355 citing articles:

Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions
Daniel Asante Otchere, Tarek Ganat, Jude Oghenerurie Ojero, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109244-109244
Closed Access | Times Cited: 134
Integrity assessment of corroded oil and gas pipelines using machine learning: A systematic review
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Jundika C. Kurnia, et al.
Engineering Failure Analysis (2021) Vol. 131, pp. 105810-105810
Closed Access | Times Cited: 111
Data to intelligence: The role of data-driven models in wastewater treatment
Majid Bahramian, Recep Kaan Dereli, Wanqing Zhao, et al.
Expert Systems with Applications (2022) Vol. 217, pp. 119453-119453
Open Access | Times Cited: 94
Removal of congo red from water by adsorption onto activated carbon derived from waste black cardamom peels and machine learning modeling
Rameez Ahmad Aftab, Sadaf Zaidi, Aftab Aslam Parwaz Khan, et al.
Alexandria Engineering Journal (2023) Vol. 71, pp. 355-369
Open Access | Times Cited: 59
Advances in materials and machine learning techniques for energy storage devices: A comprehensive review
Prit Thakkar, Sachi Khatri, Drashti Dobariya, et al.
Journal of Energy Storage (2024) Vol. 81, pp. 110452-110452
Closed Access | Times Cited: 20
A novel hybrid CNN–SVM method for lithology identification in shale reservoirs based on logging measurements
Zhijun Li, Shaogui Deng, Yuzhen Hong, et al.
Journal of Applied Geophysics (2024) Vol. 223, pp. 105346-105346
Closed Access | Times Cited: 15
Accelerated design of high-entropy alloy coatings for high corrosion resistance via machine learning
Hongxu Cheng, Hong Luo, C.G. Fan, et al.
Surface and Coatings Technology (2025), pp. 131978-131978
Closed Access | Times Cited: 1
Machine learning assisted prediction of mechanical properties of graphene/aluminium nanocomposite based on molecular dynamics simulation
Jun Liu, Yingyan Zhang, Yihe Zhang, et al.
Materials & Design (2021) Vol. 213, pp. 110334-110334
Open Access | Times Cited: 75
Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora
Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 67
Machine learning assisted probabilistic creep-fatigue damage assessment
Hang-Hang Gu, Run‐Zi Wang, Shun‐Peng Zhu, et al.
International Journal of Fatigue (2021) Vol. 156, pp. 106677-106677
Closed Access | Times Cited: 62
Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity
Vijay Singh, Kanhu Charan Panda, Atish Sagar, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1082-1099
Open Access | Times Cited: 56
Detection of faults in subsea pipelines by flow monitoring with regression supervised machine learning
Daniel Eastvedt, G.F. Naterer, Xili Duan
Process Safety and Environmental Protection (2022) Vol. 161, pp. 409-420
Closed Access | Times Cited: 42
Virtual mix design: Prediction of compressive strength of concrete with industrial wastes using deep data augmentation
Ning Chen, Shibo Zhao, Zhiwei Gao, et al.
Construction and Building Materials (2022) Vol. 323, pp. 126580-126580
Open Access | Times Cited: 40
Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106092-106092
Closed Access | Times Cited: 39
Multitask Neural Network for Mapping the Glass Transition and Melting Temperature Space of Homo- and Co-Polyhydroxyalkanoates Using σProfiles Molecular Inputs
Abir Boublia, Tarek Lemaoui, Jawaher AlYammahi, et al.
ACS Sustainable Chemistry & Engineering (2022) Vol. 11, Iss. 1, pp. 208-227
Closed Access | Times Cited: 38
A novel framework to avoid traffic congestion and air pollution for sustainable development of smart cities
Saravjeet Singh, Jaiteg Singh, S. B. Goyal, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 56, pp. 103125-103125
Closed Access | Times Cited: 38
Machine learning framework for estimating CO2 adsorption on coalbed for carbon capture, utilization, and storage applications
Amer Alanazi, Ahmed Farid Ibrahim, Saleh Bawazer, et al.
International Journal of Coal Geology (2023) Vol. 275, pp. 104297-104297
Closed Access | Times Cited: 25
Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall
Mohammad Ehteram, Ali Najah Ahmed, Zohreh Sheikh Khozani, et al.
Water Resources Management (2023) Vol. 37, Iss. 9, pp. 3631-3655
Closed Access | Times Cited: 22
Comparison of CNN Classification Model using Machine Learning with Bayesian Optimizer
Sugiyarto Surono, M. Yahya Firza Afitian, Anggi Setyawan, et al.
HighTech and Innovation Journal (2023) Vol. 4, Iss. 3, pp. 531-542
Open Access | Times Cited: 22
Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining
Muhammad Sana, Muhammad Umar Farooq, Saqib Anwar, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22508-e22508
Open Access | Times Cited: 22
Coal structure identification based on geophysical logging data: Insights from Wavelet Transform (WT) and Particle Swarm Optimization Support Vector Machine (PSO-SVM) algorithms
Zhongzheng Tong, Yanjun Meng, Jinchuan Zhang, et al.
International Journal of Coal Geology (2023) Vol. 282, pp. 104435-104435
Closed Access | Times Cited: 22
Machine learning applications in catalytic hydrogenation of carbon dioxide to methanol: A comprehensive review
Ermias Girma Aklilu, Tijani Bounahmidi
International Journal of Hydrogen Energy (2024) Vol. 61, pp. 578-602
Closed Access | Times Cited: 14
Machine learning models for predicting biochar properties from lignocellulosic biomass torrefaction
Guangcan Su, Peng Jiang
Bioresource Technology (2024) Vol. 399, pp. 130519-130519
Closed Access | Times Cited: 12
Lithological Facies Classification Using Attention-Based Gated Recurrent Unit
Yuwen Liu, Yulan Zhang, Xingyuan Mao, et al.
Tsinghua Science & Technology (2024) Vol. 29, Iss. 4, pp. 1206-1218
Open Access | Times Cited: 11
Spatial analysis and predictive modeling of energy poverty: insights for policy implementation
Sidique Gawusu, Seidu Abdulai Jamatutu, Xiao-Bing Zhang, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 11
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