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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:

Machine learning and multi-agent systems in oil and gas industry applications: A survey
Khadijah Muzzammil Hanga, Yevgeniya Kovalchuk
Computer Science Review (2019) Vol. 34, pp. 100191-100191
Open Access | Times Cited: 133

Showing 26-50 of 133 citing articles:

Data science's pivotal role in enhancing oil recovery methods while minimizing environmental footprints: An insightful review
Williams Ozowe, Adindu Donatus Ogbu, Augusta Heavens Ikevuje
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 7, pp. 1621-1633
Open Access | Times Cited: 4
Self-Healing Databases for Emergency Response Logistics in Remote and Infrastructure-Poor Settings
Jennifer C. McGarvey, Martha Grabowski, Buddy Custard, et al.
Logistics (2025) Vol. 9, Iss. 1, pp. 23-23
Open Access
State of the art progress in hydraulic fracture modeling using AI/ML techniques
Chad Sprunger, Temoor Muther, Fahad I. Syed, et al.
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 1, pp. 1-13
Closed Access | Times Cited: 31
RETRACTED ARTICLE: A comprehensive study on artificial intelligence in oil and gas sector
Devansh Gupta, Manan Shah
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 34, pp. 50984-50997
Closed Access | Times Cited: 27
Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks
Anil Rahate, Shruti Mandaokar, Pulkit Chandel, et al.
Soft Computing (2022) Vol. 27, Iss. 7, pp. 4139-4155
Closed Access | Times Cited: 21
Boundary consensus control strategies for fractional-order multi-agent systems with reaction-diffusion terms
Yan Xu, Chengdong Yang, Jinde Cao, et al.
Information Sciences (2022) Vol. 616, pp. 461-473
Closed Access | Times Cited: 19
The impact of multiagent systems on autonomous production and supply chain networks: use cases, barriers and contributions to logistics network resilience
Benjamin Nitsche, Jonas Brands, Horst Treiblmaier, et al.
Supply Chain Management An International Journal (2023) Vol. 28, Iss. 5, pp. 894-908
Closed Access | Times Cited: 11
Metrological Challenges in Collaborative Sensing: Applicability of Digital Calibration Certificates
Tuukka Mustapää, Pekka Nikander, Daniel Hutzschenreuter, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4730-4730
Open Access | Times Cited: 30
A comprehensive review on the flow behaviour in shale gas reservoirs: Multi‐scale, multi‐phase, and multi‐physics
Dong Feng, Zhangxin Chen, Keliu Wu, et al.
The Canadian Journal of Chemical Engineering (2022) Vol. 100, Iss. 11, pp. 3084-3122
Open Access | Times Cited: 18
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management
Aleksandra Pachalieva, Daniel O’Malley, D. R. Harp, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18
Understanding AI Application Dynamics in Oil and Gas Supply Chain Management and Development: A Location Perspective
Ahmed M. Deif, Thejas Vivek
HighTech and Innovation Journal (2022) Vol. 3, pp. 1-14
Open Access | Times Cited: 17
Quantile co-movement and dependence between energy-focused sectors and artificial intelligence
Christian Urom, Gideon Ndubuisi, Khaled Guesmi, et al.
Technological Forecasting and Social Change (2022) Vol. 183, pp. 121842-121842
Open Access | Times Cited: 16
Distributed adaptive neural network consensus control of fractional-order multi-agent systems with unknown control directions
Hongling Qiu, Iakov Korovin, Heng Liu, et al.
Information Sciences (2023) Vol. 655, pp. 119871-119871
Closed Access | Times Cited: 9
Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems
Huarong Zhao, Li Peng, Hongnian Yu
Applied Mathematics and Computation (2021) Vol. 412, pp. 126582-126582
Closed Access | Times Cited: 22
Research Risk Factors in Monitoring Well Drilling—A Case Study Using Machine Learning Methods
Shamil Islamov, Alexey Grigoriev, И. И. Белоглазов, et al.
Symmetry (2021) Vol. 13, Iss. 7, pp. 1293-1293
Open Access | Times Cited: 21
Data driven-based model for predicting pump failures in the oil and gas industry
Awsan Mohammed
Engineering Failure Analysis (2022) Vol. 145, pp. 107019-107019
Closed Access | Times Cited: 15
Detecting Machining Defects inside Engine Piston Chamber with Computer Vision and Machine Learning
Marian Abagiu, Dorian Cojocaru, Liviu Florin Manta, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 785-785
Open Access | Times Cited: 8
Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions
Nimra Saeed, Hassaan Malik, Ahmad Naeem, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 20699-20741
Closed Access | Times Cited: 8
Chain-based machine learning for full PVT data prediction
Kassem Ghorayeb, Arwa Mawlod, Alaa Maarouf, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109658-109658
Closed Access | Times Cited: 19
Introduction to Machine Learning in the Oil and Gas Industry
Patrick Bangert
Elsevier eBooks (2021), pp. 69-81
Closed Access | Times Cited: 18
Data Science Application for Failure Data Management and Failure Prediction in the Oil and Gas Industry: A Case Study
Simone Arena, Giuseppe Manca, Stefano Murru, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10617-10617
Open Access | Times Cited: 12
Applied Machine Learning for IIoT and Smart Production—Methods to Improve Production Quality, Safety and Sustainability
Attila Frankó, Gergely Hollósi, Dániel Ficzere, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9148-9148
Open Access | Times Cited: 12
Automated Detection of Rig Events from Real-Time Surface Data Using Spectral Analysis and Machine Learning
T. Robinson, Olav Revheim
SPE/IADC International Drilling Conference and Exhibition (2023)
Closed Access | Times Cited: 7
A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O2/N2 adsorption
Hossein Mashhadimoslem, Vahid Momenaei Kermani, Kourosh Zanganeh, et al.
The Canadian Journal of Chemical Engineering (2023)
Open Access | Times Cited: 7
Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management
Rong Liu, Vinay Vakharia
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-25
Open Access | Times Cited: 2

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