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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:

Multi-scale spatiotemporal feature lithology identification method based on split-frequency weighted reconstruction
Zongren Wang, Kai Xie, Chang Wen, et al.
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211794-211794
Closed Access | Times Cited: 11

Showing 11 citing articles:

Refined lithology identification: Methodology, challenges and prospects
Heng Shi, Zhenhao Xu, Peng Lin, et al.
Geoenergy Science and Engineering (2023) Vol. 231, pp. 212382-212382
Closed Access | Times Cited: 14
MS-CGAN: Fusion of conditional generative adversarial networks and multi-scale spatio-temporal features for lithology identification
Pengwei Zhang, Jiadong Ren, Fengda Zhao, et al.
Journal of Applied Geophysics (2024), pp. 105531-105531
Closed Access | Times Cited: 4
Empowering lithology identification with FreLog: Leveraging frequency domain insights in Well logging signal processing
Qingwei Pang, Chenglizhao Chen, Youzhuang Sun, et al.
Measurement (2025), pp. 116710-116710
Closed Access
A Multi-Model Fusion Network for Enhanced Blind Well Lithology Prediction
Xiaoqing Shao, Pengwei Zhang, Yan Shi-liang, et al.
Processes (2025) Vol. 13, Iss. 1, pp. 278-278
Open Access
LMAFNet: Lightweight multi-scale adaptive fusion network with vertical reservoir information for lithology identification
Pengwei Zhang, Jiadong Ren, Fengda Zhao, et al.
Geoenergy Science and Engineering (2025), pp. 213762-213762
Closed Access
STNet: Advancing Lithology Identification with a Spatiotemporal Deep Learning Framework for Well Logging Data
Qingwei Pang, Chenglizhao Chen, Youzhuang Sun, et al.
Natural Resources Research (2024)
Closed Access | Times Cited: 3
Machine learning (ML) for fluvial lithofacies identification from well logs: A hybrid classification model integrating lithofacies characteristics, logging data distributions, and ML models applicability
Shiyi Jiang, Panke Sun, Fengqing Lyu, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212587-212587
Closed Access | Times Cited: 7
Logging Lithology Discrimination with Enhanced Sampling Methods for Imbalance Sample Conditions
Jingyue Liu, Fei Tian, Aosai Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6534-6534
Open Access | Times Cited: 2
Lmafnet: Lightweight Multi-Scale Adaptive Fusion Network with Vertical Reservoir Information for Lithology Identification
Fengda Zhao, Jiadong Ren, Pengwei Zhang
(2024)
Closed Access
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
Carbonate reservoirs characterization based on frequency Bayesian principal component analysis
Li Chen, Xingye Liu, Huailai Zhou, et al.
Geoenergy Science and Engineering (2024), pp. 213615-213615
Closed Access
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