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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:

Pore Pressure Prediction by Empirical and Machine Learning Methods Using Conventional and Drilling Logs in Carbonate Rocks
Mohammad Reza Delavar, Ahmad Ramezanzadeh
Rock Mechanics and Rock Engineering (2022) Vol. 56, Iss. 1, pp. 535-564
Closed Access | Times Cited: 19

Showing 19 citing articles:

Real-time prediction of logging parameters during the drilling process using an attention-based Seq2Seq model
Rui Zhang, Chengkai Zhang, Xianzhi Song, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212279-212279
Closed Access | Times Cited: 16
Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach
Feng Jin, Qinghui Wang, Min Li, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 5, pp. 703-703
Open Access | Times Cited: 6
Predicting absolute adsorption of CO2 on Jurassic shale using machine learning
Changhui Zeng, Shams Kalam, Haiyang Zhang, et al.
Fuel (2024) Vol. 381, pp. 133050-133050
Open Access | Times Cited: 5
Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications
Sungil Kim, Tea-Woo Kim, Suryeom Jo
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 2
Open Access
Optimization of drilling parameters using combined multi-objective method and presenting a practical factor
Mohammad Reza Delavar, Ahmad Ramezanzadeh, Raoof Gholami, et al.
Computers & Geosciences (2023) Vol. 175, pp. 105359-105359
Closed Access | Times Cited: 15
Evaluating the effectiveness of ensemble machine learning approaches for pore pressure prediction using petrophysical log data in carbonate reservoir
Pydiraju Yalamanchi, Saurabh Datta Gupta, Rajeev Upadhyay
Acta Geophysica (2025)
Closed Access
Machine Learning Approach in Predicting Water Saturation Using Well Data at “TM” Niger Delta
Oluwakemi Yemisi Adeogun, Mukthar O Abdulwaheed, Lukumon Adeoti, et al.
Scientific African (2025), pp. e02596-e02596
Open Access
Intelligent Prediction of Rate of Penetration through Meta-Learning and Data Augmentation Synergy under Limited Sample
Zhengchao Ma, Jintao Weng, Junkai Zhang, et al.
Geoenergy Science and Engineering (2025), pp. 213818-213818
Closed Access
Machine learning classification approaches to optimize ROP and TOB using drilling and geomechanical parameters in a carbonate reservoir
Mohammad Reza Delavar, Ahmad Ramezanzadeh
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 6, pp. 1-26
Open Access | Times Cited: 3
Novel Deep Learning Framework for Efficient Pressure Zone Detection Via Analysis of Pore Pressure Profiling
Muhammad Hammad Rasool, Rabeea Jaffari, Maqsood Ahmad, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 2
Improved porosity estimation in complex carbonate reservoirs using hybrid CRNN deep learning model
Amirreza Mehrabi, Majid Bagheri, Majid Nabi Bidhendi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4773-4790
Open Access | Times Cited: 2
Remediation of LWD Data Lag with Hybrid Real-Time Data Using Self-Attention-Based Encoder-Decoder Model
Jiafeng Zhang, Ye Liu, Jie Cao, et al.
Geoenergy Science and Engineering (2024) Vol. 244, pp. 213461-213461
Closed Access | Times Cited: 2
Intelligent Pressure Monitoring Method of BP Neural Network Optimized by Genetic Algorithm: A Case Study of X Well Area in Yinggehai Basin
Ting Liu, Xiaobin Ye, Leli Cheng, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2439-2439
Open Access | Times Cited: 2
A New Method for Calculating the Influx Index in Gas-Drive Reservoirs: A Case Study of the Kela-2 Gas Field
Donghuan Han, Tongwen Jiang, Wei Xiong, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1076-1076
Open Access
A Method for Predicting Formation Pore Pressure in Carbonate Rocks
Zhenyu Tao, Yuhan Liu, Yuguang Ye, et al.
(2024)
Closed Access
Investigation of the Influence of Roughness on the Shear Resistance of Concrete-Rock Interfaces Using Random Field Simulations, Numerical Simulations, and Neural Network Modeling: Proposition of Two Approaches for the Estimation of the Peak Shear Strength
Menes Badika, Sophie Capdevielle, Dominique Saletti, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 11, pp. 9511-9537
Closed Access
Pore pressure prediction of hydrocarbon reservoirs with empirical models and artificial neural network: case study in the Doba basin, Chad
Justine Bawane Godwe, Luc Leroy Mambou Ngueyep, Jordan Eze Eze, et al.
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access
Pore pressure estimation of the calcareous formations in the Middle Magdalena Valley Basin, Colombia
M.B. Rivera, Luis Montes, Luis Antonio Castillo López
Acta Geophysica (2024)
Open Access
A Sequence Learning Approach for Real-Time and Ahead-of-Bit Pore Pressure Prediction Utilizing Drilling Data from the Drilled Section
Heng Yang, Yongcun Feng, Guanyi Shang, et al.
SPE Journal (2024), pp. 1-20
Closed Access
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