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 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
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
Showing 8 citing articles:
Identifying New Oil and Gas Exploration Targets Using Machine Learning in Java Island, Indonesia
Tri Muji Susantoro, Ketut Wikantika, Suliantara Suliantara, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Tri Muji Susantoro, Ketut Wikantika, Suliantara Suliantara, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
A data-driven workflow based on multisource transfer machine learning for gas-bearing probability distribution prediction: A case study
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. B163-B177
Closed Access | Times Cited: 9
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. B163-B177
Closed Access | Times Cited: 9
Transfer learning-based hybrid deep learning method for gas-bearing distribution prediction with insufficient training samples and uncertainty analysis
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Energy (2024) Vol. 299, pp. 131414-131414
Closed Access | Times Cited: 2
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Energy (2024) Vol. 299, pp. 131414-131414
Closed Access | Times Cited: 2
A Parametric Study of MPSO-ANN Techniques in Gas-Bearing Distribution Prediction Using Multicomponent Seismic Data
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 3987-3987
Open Access | Times Cited: 2
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 3987-3987
Open Access | Times Cited: 2
An improved integration strategy for prediction of shear wave velocity using petrophysical logs: Integration of spatiotemporal and small sample nonlinear feature
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212270-212270
Closed Access | Times Cited: 2
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212270-212270
Closed Access | Times Cited: 2
Distribution of Permian and Triassic strata in the Laoshan Uplift, Southern Yellow Sea, using seismic attributes
Niantian Lin, Kai Zhang, Jianwen Chen, et al.
Marine and Petroleum Geology (2024) Vol. 164, pp. 106810-106810
Closed Access
Niantian Lin, Kai Zhang, Jianwen Chen, et al.
Marine and Petroleum Geology (2024) Vol. 164, pp. 106810-106810
Closed Access
A hybrid model based on unsupervised learning for seismic response feature extraction and gas-bearing reservoir prediction using longitudinal and transverse waves seismic data in low-degree exploration areas: A case study
Kai Zhang, Niantian Lin, Jiuqiang Yang, et al.
Journal of Applied Geophysics (2024) Vol. 225, pp. 105382-105382
Closed Access
Kai Zhang, Niantian Lin, Jiuqiang Yang, et al.
Journal of Applied Geophysics (2024) Vol. 225, pp. 105382-105382
Closed Access
Gas-Bearing Prediction Using a Hybrid Method Based on a Combination of PCA-FastICA and CNN With the Attention Mechanism
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-18
Closed Access | Times Cited: 1
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-18
Closed Access | Times Cited: 1
