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:

Application research of combined model based on VMD and MOHHO in precipitable water vapor Prediction
Menggang Kou, Kequan Zhang, Wenyu Zhang, et al.
Atmospheric Research (2023) Vol. 292, pp. 106841-106841
Closed Access | Times Cited: 12

Showing 12 citing articles:

Predicting dissolved oxygen level using Young's double-slit experiment optimizer-based weighting model
Ying Dong, Yuhuan Sun, Zhenkun Liu, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119807-119807
Closed Access | Times Cited: 16

Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis
Shangke Liu, Ke Liu, Zheng Wang, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access

Thermal Performance Prediction of Rainwater-Vented Composite Green Roofs Using the VMD-TCN-GRU Model
Ling Lai, Jun Wang, Feng Li, et al.
Journal of Building Engineering (2025), pp. 112152-112152
Closed Access

Environmental policy-driven electricity consumption prediction: A novel buffer-corrected Hausdorff fractional grey model informed by two-stage enhanced multi-objective optimization
Yuansheng Qian, Zhijie Zhu, Xinsong Niu, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124540-124540
Closed Access

SDIPPWV: A novel hybrid prediction model based on stepwise decomposition-integration-prediction avoids future information leakage to predict precipitable water vapor from GNSS observations
Fanming Wu, Dengao Li, Jumin Zhao, et al.
The Science of The Total Environment (2024) Vol. 933, pp. 173116-173116
Closed Access | Times Cited: 3

Dynamics of atmospheric water resources over the Yangtze River Basin: Historical patterns and future projections
Ying Li, Jiali Guo
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101745-101745
Open Access | Times Cited: 1

Water vapor content prediction based on neural network model selection and optimal fusion
Xinyu Zhang, Yunjun Zhou, Wenyu Zhang, et al.
Journal of Computational Science (2024) Vol. 79, pp. 102310-102310
Closed Access | Times Cited: 1

The WOA-CNN-LSTM-Attention Model for Predicting GNSS Water Vapor
Xiangrong Yan, Weifang Yang, Motong Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 1

Novel optimized coupled rainfall model simulation based on stepwise decomposition technique
Zhiwen Zheng, Yuan Yao, Xianqi Zhang, et al.
Water Science & Technology (2024) Vol. 90, Iss. 4, pp. 1164-1180
Closed Access | Times Cited: 1

A hybrid prediction framework combining deep neural network and modified optimization algorithm for water vapor prediction
Wenyu Zhang, Bingyan Li, Xinyu Zhang, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 8, pp. 7793-7810
Closed Access

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