Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Data‐Worth Analysis for Heterogeneous Subsurface Structure Identification With a Stochastic Deep Learning Framework
Chuanjun Zhan, Zhenxue Dai, Mohamad Reza Soltanian, et al.
Water Resources Research (2022) Vol. 58, Iss. 11
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Subsurface sedimentary structure identification using deep learning: A review
Chuanjun Zhan, Zhenxue Dai, Zhijie Yang, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104370-104370
Closed Access | Times Cited: 41
Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Chuanjun Zhan, Zhenxue Dai, Shangxian Yin, et al.
Water Research (2024) Vol. 257, pp. 121679-121679
Closed Access | Times Cited: 17
Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges
Zhengyang Du, Zhenxue Dai, Zhijie Yang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114366-114366
Closed Access | Times Cited: 16
Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios
Rakesh Kumar Pandey, Asghar Gandomkar, Behzad Vaferi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 29
Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model
Junhao Wu, Zhaocai Wang, Jinghan Dong, et al.
Water Resources Research (2023) Vol. 59, Iss. 9
Closed Access | Times Cited: 28
SEB-ChOA: an improved chimp optimization algorithm using spiral exploitation behavior
Leren Qian, Mohammad Khishe, Yiqian Huang, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 9, pp. 4763-4786
Closed Access | Times Cited: 25
Predicting tunnel water inflow using a machine learning-based solution to improve tunnel construction safety
Arsalan Mahmoodzadeh, Hossein Ghafourian, Adil Hussein Mohammed, et al.
Transportation Geotechnics (2023) Vol. 40, pp. 100978-100978
Closed Access | Times Cited: 20
Parameter estimation and uncertainty quantification of rainfall-runoff models using data assimilation methods based on deep learning and local ensemble updates
Lei Yao, Jiangjiang Zhang, Chenglong Cao, et al.
Environmental Modelling & Software (2025), pp. 106332-106332
Closed Access
From oil and mineral extraction to renewable energy: Analyzing the efficiency of green technology innovation in the transformation of the oil and gas sector in the extractive industry
Na Li, Azer Dilanchiev, Ghulam Mustafa
Resources Policy (2023) Vol. 86, pp. 104080-104080
Closed Access | Times Cited: 19
Ionospheric–Thermospheric Responses to Geomagnetic Storms from Multi-Instrument Space Weather Data
Rasim Shahzad, Munawar Shah, M. Arslan Tariq, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2687-2687
Open Access | Times Cited: 15
An integrated framework of deep learning and entropy theory for enhanced high-dimensional permeability field identification in heterogeneous aquifers
Mingxu Cao, Zhenxue Dai, Junjun Chen, et al.
Water Research (2024) Vol. 268, pp. 122706-122706
Closed Access | Times Cited: 4
Automatic pore structure analysis in organic-rich shale using FIB-SEM and attention U-Net
Qamar Yasin, Bo Liu, Mengdi Sun, et al.
Fuel (2023) Vol. 358, pp. 130161-130161
Closed Access | Times Cited: 13
Machine-Learning-Based Lithosphere-Atmosphere-Ionosphere Coupling Associated with Mw > 6 Earthquakes in America
Munawar Shah, Rasim Shahzad, Punyawi Jamjareegulgarn, et al.
Atmosphere (2023) Vol. 14, Iss. 8, pp. 1236-1236
Open Access | Times Cited: 11
Reliability-Based Load and Resistance Factor Design of an Energy Pile with CPT Data Using Machine Learning Techniques
Pramod Kumar, Pijush Samui
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 4831-4860
Closed Access | Times Cited: 11
Estimating the effective fracture toughness of a variety of materials using several machine learning models
Arsalan Mahmoodzadeh, Danial Fakhri, Adil Hussein Mohammed, et al.
Engineering Fracture Mechanics (2023) Vol. 286, pp. 109321-109321
Closed Access | Times Cited: 10
Nonlinear vibration analysis of graphene platelets reinforced nanocomposite doubly curved concrete panels subjected to thermal shock: Development of an artificial intelligence technique
Gongxing Yan, Xia Zhou, Mohammed A. El-Meligy, et al.
Mechanics of Advanced Materials and Structures (2023), pp. 1-22
Closed Access | Times Cited: 10
Predicting friction capacity of driven piles using new combinations of neural networks and metaheuristic optimization algorithms
Jie Liu, Parisa Sahraeian, Kseniya I. Zykova, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02464-e02464
Open Access | Times Cited: 10
611 Universal Drilling Machine Reliability Modeling and Performance Evaluation in Subterranean Coal Mines
Mohd Ahtesham Hussain Siddiqui, Shahzad Akhtar, Somnath Chattopadhyaya, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 5, pp. 3559-3575
Closed Access | Times Cited: 3
Forecasting failure load of Sandstone under different Freezing-Thawing cycles using Gaussian process regression method and grey wolf optimization algorithm
Danial Fakhri, Arsalan Mahmoodzadeh, Adil Hussein Mohammed, et al.
Theoretical and Applied Fracture Mechanics (2023) Vol. 125, pp. 103876-103876
Closed Access | Times Cited: 9
Application of Non-Destructive Test Results to Estimate Rock Mechanical Characteristics—A Case Study
Zhichun Fang, Jafar Qajar, Kosar Safari, et al.
Minerals (2023) Vol. 13, Iss. 4, pp. 472-472
Open Access | Times Cited: 9
Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems
Swathi Angamuthu, Pavel Trojovský
PeerJ Computer Science (2023) Vol. 9, pp. e1497-e1497
Open Access | Times Cited: 9
Combining Artificial Neural Network and Seeker Optimization Algorithm for Predicting Compression Capacity of Concrete-Filled Steel Tube Columns
Pan Hu, Hamidreza Aghajanirefah, Arsalan Anvari, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 391-391
Open Access | Times Cited: 8
Machine Learning Method Based on Symbiotic Organism Search Algorithm for Thermal Load Prediction in Buildings
Fatemeh Nejati, Wahidullah Omer Zoy, Nayer Tahoori, et al.
Buildings (2023) Vol. 13, Iss. 3, pp. 727-727
Open Access | Times Cited: 8
Performance of Statistical and Intelligent Methods in Estimating Rock Compressive Strength
Xuesong Zhang, Farag M. A. Altalbawy, Tahani A. S. Gasmalla, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5642-5642
Open Access | Times Cited: 8
Groundwater spring potential prediction using a deep-learning algorithm
Solmaz Khazaei Moughani, Abdol-Baset Osmani, Ebrahim Nohani, et al.
Acta Geophysica (2023) Vol. 72, Iss. 2, pp. 1033-1054
Closed Access | Times Cited: 8
Page 1 - Next Page

Scroll to top