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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:

Identifying channel sand-body from multiple seismic attributes with an improved random forest algorithm
Yile Ao, Hongqi Li, Liping Zhu, et al.
Journal of Petroleum Science and Engineering (2018) Vol. 173, pp. 781-792
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks
Mingliang Liu, Michael Jervis, Weichang Li, et al.
Geophysics (2020) Vol. 85, Iss. 4, pp. O47-O58
Closed Access | Times Cited: 110
Bayesian Convolutional Neural Networks for Seismic Facies Classification
Runhai Feng, Niels Balling, Darío Graña, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 10, pp. 8933-8940
Open Access | Times Cited: 62
Similarity-Informed Self-Learning and Its Application on Seismic Image Denoising
Naihao Liu, Jiale Wang, Jinghuai Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 49
CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions
Yao Yao, Zhenhui Sun, Linlong Li, et al.
Cities (2023) Vol. 138, pp. 104354-104354
Closed Access | Times Cited: 30
Seismic facies analysis: Past, present and future
Guoqiang Xu, Bilal U. Haq
Earth-Science Reviews (2021) Vol. 224, pp. 103876-103876
Closed Access | Times Cited: 46
Modeling thermo-physical properties of hydrogen utilizing machine learning schemes: Viscosity, density, diffusivity, and thermal conductivity
Qichao Lv, Zhaomin Li, Xiaochen Li, et al.
International Journal of Hydrogen Energy (2024) Vol. 72, pp. 1127-1142
Closed Access | Times Cited: 6
Automated Well-Log Processing and Lithology Classification by Identifying Optimal Features Through Unsupervised and Supervised Machine-Learning Algorithms
Harpreet Singh, Yongkoo Seol, Evgeniy M. Myshakin
SPE Journal (2020) Vol. 25, Iss. 05, pp. 2778-2800
Closed Access | Times Cited: 47
Modeling Viscosity of CO2–N2 Gaseous Mixtures Using Robust Tree-Based Techniques: Extra Tree, Random Forest, GBoost, and LightGBM
Haimin Zheng, Atena Mahmoudzadeh, Behnam Amiri-Ramsheh, et al.
ACS Omega (2023) Vol. 8, Iss. 15, pp. 13863-13875
Open Access | Times Cited: 13
Classification and detection of natural disasters using machine learning and deep learning techniques: A review
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Earth Science Informatics (2023) Vol. 17, Iss. 2, pp. 869-891
Closed Access | Times Cited: 13
Understanding uncertainty in deepwater channel seismic facies classification applying random forest on outcrop-constrained 3D models and synthetic seismic data
Karelia La Marca, Heather Bedle, Lisa Stright, et al.
The Leading Edge (2025) Vol. 44, Iss. 1, pp. 43-52
Closed Access
Prediction of the petroliferous area in WZ6-1 structure of Beibu Gulf Basin in the South China Sea based on PCA-SOM model
Zhilong Chen, Renyi Wang, Biao Xu, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Random forest based artificial intelligent model for predicting failure envelopes of caisson foundations in sand
Pin Zhang, Yin-Fu Jin, Zhen‐Yu Yin, et al.
Applied Ocean Research (2020) Vol. 101, pp. 102223-102223
Open Access | Times Cited: 36
A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees
Yunxin Xie, Chenyang Zhu, Runshan Hu, et al.
Mathematical Geosciences (2020) Vol. 53, Iss. 5, pp. 859-876
Open Access | Times Cited: 36
An improved method for lithology identification based on a hidden Markov model and random forests
Pu Wang, Xiaohong Chen, Benfeng Wang, et al.
Geophysics (2020) Vol. 85, Iss. 6, pp. IM27-IM36
Closed Access | Times Cited: 34
Comprehensive evaluation of machine learning algorithms applied to TBM performance prediction
Jie Yang, Saffet Yağız, Yingjing Liu, et al.
Underground Space (2021) Vol. 7, Iss. 1, pp. 37-49
Open Access | Times Cited: 27
Quantitative expression of LNAPL pollutant concentrations in capillary zone by coupling multiple environmental factors based on random forest algorithm
Kexue Han, Rui Zuo, Donghui Xu, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135695-135695
Closed Access | Times Cited: 3
Application of improved support vector machine in geochemical lithology identification
Shitao Yin, Xiaochun Lin, Yongjian Huang, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 205-220
Closed Access | Times Cited: 8
A comparative study of machine learning methods for gas hydrate identification
Dongmei Tian, Shengxiong Yang, Yuehua Gong, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211564-211564
Closed Access | Times Cited: 8
Machine learning prediction of the mass and the velocity of controlled single-block rockfalls from the seismic waves they generate
Clément Hibert, François Noël, David Toe, et al.
Earth Surface Dynamics (2024) Vol. 12, Iss. 3, pp. 641-656
Open Access | Times Cited: 2
Towards Optimization of Boosting Models for Formation Lithology Identification
Yunxin Xie, Chenyang Zhu, Yue Lu, et al.
Mathematical Problems in Engineering (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 19
Three-way selection random forest algorithm based on decision boundary entropy
Chunying Zhang, Jing Ren, Fengchun Liu, et al.
Applied Intelligence (2022) Vol. 52, Iss. 12, pp. 13384-13397
Closed Access | Times Cited: 9
Machine learning prediction of the mass and the velocity of controlled single-block rockfalls from the seismic waves they generate
Clément Hibert, François Noël, David Toe, et al.
(2022)
Open Access | Times Cited: 8
Learnable Gabor Kernels in Convolutional Neural Networks for Seismic Interpretation Tasks
Fu Wang, Tariq Alkhalifah
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-9
Open Access | Times Cited: 1
Adaptive Multi-frequency Attribute Analysis and its Application on Reservoir Characterization
Zezhou Zhang, Naihao Liu, Rongchang Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-10
Closed Access | Times Cited: 1
Study on the Oil Spill Transport Behavior and Multifactorial Effects of the Lancang River Crossing Pipeline
Jingyang Lu, Liqiong Chen, Duo Xu
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3455-3455
Open Access | Times Cited: 1
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