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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-Based Real-Time Prediction of Formation Lithology and Tops Using Drilling Parameters with a Web App Integration
H. Ezzat Khalifa, Olusegun Stanley Tomomewo, Uchenna Frank Ndulue, et al.
Eng—Advances in Engineering (2023) Vol. 4, Iss. 3, pp. 2443-2467
Open Access | Times Cited: 10

Showing 10 citing articles:

Leveraging Automated Deep Learning (AutoDL) in Geosciences
Nandito Davy, Umair bin Waheed, Ardiansyah Koeshidayatullah, et al.
Computers & Geosciences (2024) Vol. 188, pp. 105600-105600
Closed Access | Times Cited: 4
Automated real-time prediction of geological formation tops during drilling operations: an applied machine learning solution for the Norwegian Continental Shelf
Behzad Elahifar, Erfan Hosseini
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 6, pp. 1661-1703
Open Access | Times Cited: 3
Textural features for BLB disease damage assessment in paddy fields using drone data and machine learning: Enhancing disease detection accuracy
Arif Kurnia Wijayanto, Lilik Budi Prasetyo, Sahid Agustian Hudjimartsu, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100498-100498
Open Access | Times Cited: 1
Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study
J. Zhao, Lu Jin, Xue Yu, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4200-4200
Open Access | Times Cited: 1
Data‐driven framework for predicting the sorption capacity of carbon dioxide and methane in tight reservoirs
Fahd Mohamad Alqahtani, Mohamed Riad Youcefi, Hakim Djema, et al.
Greenhouse Gases Science and Technology (2024)
Open Access | Times Cited: 1
Real-time prediction of formation lithology using drilling parameters: an example from Ca Tam oilfield
Duong Hong Vu, Hung T. Nguyen, Vinh T. Nguyen, et al.
Journal of Mining and Earth Sciences (2024) Vol. 65, Iss. 3, pp. 62-71
Open Access
Efficient self-attention based joint optimization for lithology and petrophysical parameter estimation in the Athabasca Oil Sands
M Quamer Nasim, Paresh Nath Singha Roy, Adway Mitra
Journal of Applied Geophysics (2024) Vol. 230, pp. 105532-105532
Closed Access
Real-Time Lithology Identification from Drilling Data with Self & Cross Attention Model and Wavelet Transform
Jiafeng Zhang, Ye Liu, Yuheng Ma, et al.
Geoenergy Science and Engineering (2024), pp. 213427-213427
Closed Access
A Multi Modal Geologist Copilot GeoCopilot: Generative AI with Reality Augmented Generation for Automated and Explained Lithology Interpretation While Drilling
Marcos Vinícius Gomes Jacinto, L. H. L. de Oliveira, T. C. Rodrigues, et al.
(2024)
Closed Access
Towards Automated Lithology Classification in NATM Tunnel: A Data-Driven Solution for Multi-dimensional Imbalanced Data
Yang Li, Jiayao Chen, Qian Fang, et al.
Rock Mechanics and Rock Engineering (2024)
Closed Access
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