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:

RETRACTED ARTICLE: A comprehensive study on artificial intelligence in oil and gas sector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

Showing 1-25 of 27 citing articles:

MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS
Agnes Clare Odimarha, Sodrudeen Abolore Ayodeji, Emmanuel Adeyemi Abaku
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 725-740
Open Access | Times Cited: 42

Application of Artificial Intelligence in the Oil and Gas Industry
Muhammad Nihal Hussain, Aeshah H. Alamri, Tieling Zhang, et al.
Synthesis lectures on engineering, science, and technology (2024), pp. 341-373
Closed Access | Times Cited: 15

Artificial intelligence for drilling lost circulation: A systematic literature review
Haytham H. Elmousalami, Ibrahim Sakr
Geoenergy Science and Engineering (2024) Vol. 239, pp. 212837-212837
Closed Access | Times Cited: 12

Impact of artificial intelligence and knowledge management on proactive green innovation: the moderating role of trust and sustainability
Amir A. Abdulmuhsin, Hosni Shareif Hussein, Hadi Al‐Abrrow, et al.
Asia-Pacific Journal of Business Administration (2024)
Closed Access | Times Cited: 5

Analysis of the Role of Informative Construction Management System in Improving the Safety of Oil and Gas Pipeline Construction and Its Efficiency
Huigang Wei, Tongyu Wu, Jian Sun, et al.
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access

Holistic prediction of hydrocarbon fluids pressure–volume-temperature laboratory data using machine learning
Kassem Ghorayeb, Kristian Mogensen, Nour El Droubi, et al.
Fuel (2024) Vol. 369, pp. 131695-131695
Closed Access | Times Cited: 3

An Unsupervised Anomaly Detection Based on Self-Organizing Map for the Oil and Gas Sector
Lorenzo Concetti, Giovanni Mazzuto, Filippo Emanuele Ciarapica, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3725-3725
Open Access | Times Cited: 7

The Role of the Oil and Gas Industry in the Energy Transition
Soheil Saraji, Dayo Akindipe
(2024), pp. 33-63
Closed Access | Times Cited: 2

Comparative analysis of 3D reservoir geologic modeling: A comprehensive review and perspectives
Lingfeng Zhao, Chenlin Hu, Jonathan Atuquaye Quaye, et al.
Geoenergy Science and Engineering (2024), pp. 213440-213440
Closed Access | Times Cited: 2

Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream
Igor G. Olaizola, Marco Quartulli, Elias Unzueta, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9164-9164
Open Access | Times Cited: 10

Feasibility Study on the Applicability of Intelligent Well Completion
Alexander Sleptsov, Lyudmila Medvedeva, Oksana Marinina, et al.
Processes (2024) Vol. 12, Iss. 8, pp. 1565-1565
Open Access | Times Cited: 1

Energy Transition: Challenges and Opportunities for the Oil & Gas Industry
Soheil Saraji, Dayo Akindipe
Lecture notes in energy (2023), pp. 3-33
Closed Access | Times Cited: 4

Energiewende: Herausforderungen und Chancen für die Öl- & Gasindustrie
Soheil Saraji, Dayo Akindipe
Springer eBooks (2024), pp. 3-36
Closed Access

A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI
Deniz Kenan Kılıç, Alex Elkjær Vasegaard, Aurélien Desoeuvres, et al.
Human-Centric Intelligent Systems (2024) Vol. 4, Iss. 3, pp. 447-495
Open Access

Artificial intelligence (AI) evaluation of current reservoir pressure distribution based on oil production data
Baghir A. Suleimanov, N.I. Huseynova
ANAS Transactions Earth Sciences (2024), Iss. 1
Open Access

Future trends
Mohammad Ali Ahmadi
Elsevier eBooks (2024), pp. 479-492
Closed Access

Exploring the coherency and predictability between the stocks of artificial intelligence and energy corporations
Christian Urom, Gideon Ndubuisi, Héla Mzoughi, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access

Reservoir computing-based slow feature analysis: Application in fault classification
Alireza Memarian, Amirreza Memarian, Seshu Kumar Damarla, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 14, pp. 452-457
Open Access

Beyond the Resource Curse: Leveraging Artificial Intelligence to Enhance Green Development Welfare
张石清 ZHANG Shi-qing, Wenpan Li, Jingjing Fan, et al.
Journal of Cleaner Production (2024) Vol. 482, pp. 144142-144142
Closed Access

Trends and Patterns in Artificial Intelligence Research for Oil and Gas Industry: A Bibliometric Review
Surur Mohammed Al Balushi, Yusri Arshad
International Journal of Professional Business Review (2023) Vol. 8, Iss. 6, pp. e02090-e02090
Open Access | Times Cited: 1

Sustainability through Artificial Intelligence in Oil and Gas Industry - A Case Study
Sandhya Bangera, Subrahmanya Bhat
International Journal of Case Studies in Business IT and Education (2023), pp. 353-365
Open Access | Times Cited: 1

STUDY OF ECONOMIC, ENVIRONMENTAL, AND SOCIAL INDICATORS ON THE SUSTAINABLE DEVELOPMENT APPROACH OF OIL AND GAS EPC COMPANIES
VIKRANT HUDDAR, Nitin Joshi
International Journal of Management Public Policy and Research (2022) Vol. 1, Iss. 4, pp. 17-26
Open Access | Times Cited: 1

Institutional Pressures on the Oil and Gas Industry
LaTrelle Annette Bolding
Advances in systems analysis, software engineering, and high performance computing book series (2023), pp. 52-66
Closed Access

A Semi-Automated Solution Approach Selection Tool for Any Use Case via Scopus and OpenAI: a Case Study for AI/ML in Oncology
Deniz Kenan Kılıç, Alex Elkjær Vasegaard, Aurélien Desoeuvres, et al.
arXiv (Cornell University) (2023)
Open Access

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