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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:

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

Showing 1-25 of 34 citing articles:

Sensing prior constraints in deep neural networks for solving exploration geophysical problems
Xinming Wu, Jianwei Ma, Xu Si, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 23
Open Access | Times Cited: 46
CE-SGAN: Classification enhancement semi-supervised generative adversarial network for lithology identification
Fengda Zhao, Yang Yang, Jingwen Kang, et al.
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211562-211562
Closed Access | Times Cited: 25
Integrating deep learning and logging data analytics for lithofacies classification and 3D modeling of tight sandstone reservoirs
Jingjing Liu, Jianchao Liu
Geoscience Frontiers (2021) Vol. 13, Iss. 1, pp. 101311-101311
Open Access | Times Cited: 54
Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree
Quan Ren, Hongbing Zhang, Dailu Zhang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 220, pp. 111233-111233
Closed Access | Times Cited: 36
A Review on Intelligent Recognition with Logging Data: Tasks, Current Status and Challenges
Xinyi Zhu, Hongbing Zhang, Quan Ren, et al.
Surveys in Geophysics (2024) Vol. 45, Iss. 5, pp. 1493-1526
Closed Access | Times Cited: 6
Residual Convolutional Neural Network for Lithology Classification: A Case Study of an Iranian Gas Field
S. H. Mousavi, Seyed Mojtaba Hosseini‐Nasab
International Journal of Energy Research (2024) Vol. 2024, pp. 1-25
Open Access | Times Cited: 5
Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Petroleum Science (2024) Vol. 21, Iss. 4, pp. 2329-2344
Open Access | Times Cited: 4
Fluid Discrimination Based on Inclusion-Based Method for Tight Sandstone Reservoirs
Pu Wang, Yi-an Cui, Jianxin Liu
Surveys in Geophysics (2022) Vol. 43, Iss. 5, pp. 1469-1496
Closed Access | Times Cited: 17
Porosity prediction from pre-stack seismic data via a data-driven approach
Naxia Yang, Guofa Li, Pingqi Zhao, et al.
Journal of Applied Geophysics (2023) Vol. 211, pp. 104947-104947
Closed Access | Times Cited: 11
Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs
Hanlin Feng, Zitong Zhang, Chunlei Zhang, et al.
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 1
Open Access
Lithology Identification of Imbalanced Well Log Data Based on Diffusion Model and Multiscale CNN
Fengda Zhao, Zhuoyi Zhao, Hongjin Lv, et al.
Mathematical Geosciences (2025)
Closed Access
Semi-Supervised Lithofacies Classification Method Based on Laplacian Support Vector Machine and Active Learning
Haiyu Qian, Xiang Wu
(2025)
Closed Access
Reconstruction of Missing Well-Logs Using Facies-Informed Discrete Wavelet Transform and Time Series Regression
Quan Ren, Hongbing Zhang, Leonardo Azevedo, et al.
SPE Journal (2023) Vol. 28, Iss. 06, pp. 2946-2963
Closed Access | Times Cited: 9
Logging-data-driven lithology identification in complex reservoirs: an example from the Niuxintuo block of the Liaohe oilfield
Zuochun Fan, Hu Changhao, Shu Jiang, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
基于随机森林算法的泥页岩岩相测井识别
Min Wang, Jinlu Yang, Xin Wang, et al.
Earth Science-Journal of China University of Geosciences (2023) Vol. 48, Iss. 1, pp. 130-130
Open Access | Times Cited: 7
An interpretable ensemble machine-learning workflow for permeability predictions in tight sandstone reservoirs using logging data
Ping Feng, Ruijia Wang, Jianmeng Sun, et al.
Geophysics (2024) Vol. 89, Iss. 5, pp. MR265-MR280
Closed Access | Times Cited: 2
An adaptive ensemble learning by opposite multiverse optimizer and its application in fluid identification for unconventional oil reservoirs
Yongan Zhang, Xingyu Zhang, Youzhuang Sun, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 5
Enhancing Seismic Facies Classification Using Interpretable Feature Selection and Time Series Ensemble Learning Model With Uncertainty Assessment
Quan Ren, Hongbing Zhang, Dailu Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 4
Seismic attribute extraction and application based on the Gabor wavelet transform
Ran Xiong, Xuri Huang, Liang Guo, et al.
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 1
A novel workflow for shale lithology identification – A case study in the Gulong Depression, Songliao Basin, China
Liying Xu, Ruiyi Han, Xuehong Yan, et al.
Open Geosciences (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Research Status and Prospects of Intelligent Logging Lithology Identification
Huang Jin, Ci Yutong, Xuan Liu
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012010-012010
Closed Access | Times Cited: 1
Multi-task learning for seismic elastic parameter inversion with the lateral constraint of angle-gather difference
Pu Wang, Yi-an Cui, Lin Zhou, et al.
Petroleum Science (2024)
Open Access | Times Cited: 1
Predicting anisotropic parameters of strata by deep multiple triangular kernel extreme learning machine optimized by flower pollination algorithm
Fan Wu, Jingye Li, Weiheng Geng, et al.
Journal of Applied Geophysics (2022) Vol. 209, pp. 104904-104904
Closed Access | Times Cited: 4
Application and Comparison of Machine Learning Methods for Mud Shale Petrographic Identification
Ruhao Liu, Lei Zhang, Xinrui Wang, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2042-2042
Open Access | Times Cited: 2
Explainable Prediction Model of Logging Lithology Classification Based on XGBoost and SHAP
Peng Lin, Xingmeng Dong, Yongli Ji, et al.
(2023), pp. 307-312
Closed Access | Times Cited: 2
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