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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:

Data‐Driven Discovery of Soil Moisture Flow Governing Equation: A Sparse Regression Framework
Wenxiang Song, Liangsheng Shi, Lijun Wang, et al.
Water Resources Research (2022) Vol. 58, Iss. 8
Closed Access | Times Cited: 12

Showing 12 citing articles:

Deep Learning Identification of the Governing Equation for Water Flow in Heterogeneous Soils From Data
Wenxiang Song, Liangsheng Shi, Leilei He, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access
Multi-layer grid-scale soil moisture estimation using spatiotemporal deep learning methods with physical constraints
Tuantuan Zhang, Zhongmin Liang, Jianhong Zhou, et al.
Journal of Hydrology (2025), pp. 133086-133086
Closed Access
Soil Moisture Prediction with Attention-Enhanced Models: A Deep Learning Approach
Vlado Grubišić, Daniel Vasić, Hrvoje Ljubić, et al.
(2024)
Open Access | Times Cited: 3
Towards data-driven discovery of governing equations in geosciences
Wenxiang Song, Shijie Jiang, Gustau Camps‐Valls, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Reconstructing the Unsaturated Flow Equation From Sparse and Noisy Data: Leveraging the Synergy of Group Sparsity and Physics‐Informed Deep Learning
Wenxiang Song, Liangsheng Shi, Xiaolong Hu, et al.
Water Resources Research (2023) Vol. 59, Iss. 5
Closed Access | Times Cited: 6
Machine learning of partial differential equations from noise data
Wenbo Cao, Weiwei Zhang
Theoretical and Applied Mechanics Letters (2023) Vol. 13, Iss. 6, pp. 100480-100480
Open Access | Times Cited: 5
Machine learning applications in vadose zone hydrology: A review
Xiang Li, John L. Nieber, Vipin Kumar
Vadose Zone Journal (2024) Vol. 23, Iss. 4
Open Access | Times Cited: 1
Groundwater inverse modeling: Physics-informed neural network with disentangled constraints and errors
Yuzhe Ji, Yuanyuan Zha, Tian‐Chyi Jim Yeh, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131703-131703
Closed Access | Times Cited: 1
Physics-Informed Neural Networks with New Activation Function and Multi-Objective Optimization for Improving Estimation of Soil Hydraulic Properties
Jize Fan, Xiaofei Yan, Qiang Cheng
Authorea (Authorea) (2024)
Open Access
Solar Power Based IoT Agribot for Irrigation and Farm Monitoring
Gulbir Singh, Vivek Bhatnagar, Suneet Kumar, et al.
(2024), pp. 397-402
Closed Access
Identification of a soil water flow equation using a two-step data-driven method
Yakun Wang, Qiuru Zhang, Liangsheng Shi, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129707-129707
Closed Access
Construction and Application of Soil Water Movement Model Integrating Physical Information with Deep Learning Method
Tao Wang, Kuan Liu, Jiaqi Zhai, et al.
(2023)
Closed Access
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