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:

Unsupervised-learning based self-organizing neural network using multi-component seismic data: Application to Xujiahe tight-sand gas reservoir in China
Kai Zhang, Niantian Lin, Gaopeng Tian, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 209, pp. 109964-109964
Closed Access | Times Cited: 25

Showing 25 citing articles:

Predicting gas-bearing distribution using DNN based on multi-component seismic data: Quality evaluation using structural and fracture factors
Kai Zhang, Niantian Lin, Jiuqiang Yang, et al.
Petroleum Science (2022) Vol. 19, Iss. 4, pp. 1566-1581
Open Access | Times Cited: 31

Mel Spectrogram-based advanced deep temporal clustering model with unsupervised data for fault diagnosis
Geonkyo Hong, Dongjun Suh
Expert Systems with Applications (2023) Vol. 217, pp. 119551-119551
Open Access | Times Cited: 21

Identifying payable cluster distributions for improved reservoir characterization: a robust unsupervised ML strategy for rock typing of depositional facies in heterogeneous rocks
Umar Ashraf, Aqsa Anees, Hucai Zhang, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7

A Well Production Prediction Method of Tight Reservoirs Based on a Hybrid Neural Network
Fuquan Song, Heying Ding, Yongzheng Wang, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2904-2904
Open Access | Times Cited: 11

A Topic Modeling Approach to Discover the Global and Local Subjects in Membrane Distillation Separation Process
Ersin Aytaç, M. Khayet
Separations (2023) Vol. 10, Iss. 9, pp. 482-482
Open Access | Times Cited: 11

Prediction of Deep Low Permeability Sandstone Seismic Reservoir Based on CBAM-CNN
Yan Zhen, An Zhang, Xiaoming Zhao, et al.
Geoenergy Science and Engineering (2024) Vol. 242, pp. 213241-213241
Closed Access | Times Cited: 4

Analysis and classification of seismic signals based on wavelet packet tree structures and self-organizing feature map
T. Jayasree, Ni Luh Nyoman Seri Malini
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access

Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network
Ruipu Zhao, Lili Zeng, Chendong Fu, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access

An Intelligent Approach for Gas Reservoir Identification and Structural Evaluation by ANN and Viterbi Algorithm—A Case Study From the Xujiahe Formation, Western Sichuan Depression, China
Kai Zhang, Niantian Lin, Jiuqiang Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-12
Closed Access | Times Cited: 8

Evaluation of low permeability conglomerate reservoirs based on petrophysical facies: A case study from the Triassic Baikouquan Formation, northern Mahu Sag, Junggar Basin, China
Zhichao Yu, Zhizhang Wang, Qingping Jiang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 219, pp. 111082-111082
Closed Access | Times Cited: 13

Unsupervised machine learning-based multi-attributes fusion dim spot subtle sandstone reservoirs identification utilizing isolation forest
Jun Wang, Junxing Cao, Zhege Liu
Geoenergy Science and Engineering (2023) Vol. 234, pp. 212626-212626
Closed Access | Times Cited: 7

An approach for predicting geothermal reservoirs distribution using wavelet transform and self-organizing neural network: a case study of radon and CSAMT data from Northern Jinan, China
Kai Zhang, Niantian Lin, Xiaolei Wan, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2022) Vol. 8, Iss. 5
Closed Access | Times Cited: 10

ANN-based multicomponent seismic data-driven prediction of gas-bearing distribution
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2022) Vol. 8, Iss. 2
Closed Access | Times Cited: 8

Multi-Wave Stochastic Inversion Physical Parameters Prediction Method Driven by Linearized Rock Physics
Ying Lin, Guangzhi Zhang, Baoli Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 1

A Case Study Comparing Methods for Coal Thickness Identification in Complex Geological Conditions
Tao Ding, Yanhui Wu, Lei Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10381-10381
Open Access | Times Cited: 1

Prestack simultaneous inversion of P-wave impedance and gas saturation using multi-task residual networks
Wenjing Sang, Zhiqiang Ding, Mingxuan Li, et al.
Acta Geophysica (2023) Vol. 72, Iss. 2, pp. 875-892
Closed Access | Times Cited: 3

Deep carbonate reservoir characterization using multiseismic attributes: A comparison of unsupervised machine-learning approaches
Luanxiao Zhao, Xuanying Zhu, Xiangyuan Zhao, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. B65-B82
Closed Access | Times Cited: 3

河流相储层地震属性优选与融合方法综述
Dali Yue, Wei Li, Yushan Du, et al.
Earth Science-Journal of China University of Geosciences (2022) Vol. 47, Iss. 11, pp. 3929-3929
Open Access | Times Cited: 4

Variable Selection and Oil-Gas-Bearing Evaluation Using Multicomponent Seismic Data and AMPSO-ML Approaches
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
SPE Journal (2023) Vol. 28, Iss. 03, pp. 1183-1201
Closed Access | Times Cited: 1

Predicting Granitic Buried-Hill Reservoirs Using Seismic Reflection data—A Case Study From the Bongor Basin, Southwestern Chad
Yajie Wang, Guosheng Xu, Wei Zhou, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 2

Spark map reduce based framework for seismic facies classification
Jatin Bedi, Durga Toshniwal
Journal of Applied Geophysics (2022) Vol. 205, pp. 104762-104762
Closed Access | Times Cited: 1

Seismic fluid identification method based on the joint PP‐ and SH–SH‐wave stochastic inversion
Ying Lin, Guangzhi Zhang, Baoli Wang, et al.
Geophysical Prospecting (2023) Vol. 72, Iss. 2, pp. 752-766
Closed Access

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