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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:

Actual evapotranspiration estimation over the Tuojiang River Basin based on a hybrid CNN-RF model
Yao Li, Wensheng Wang, Guoqing Wang, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127788-127788
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments
Ahmed Elbeltagi, Aman Srivastava, Jinsong Deng, et al.
Agricultural Water Management (2023) Vol. 283, pp. 108302-108302
Open Access | Times Cited: 40
A Novel Smoothing-Based Deep Learning Time-Series Approach for Daily Suspended Sediment Load Prediction
Bibhuti Bhusan Sahoo, Sovan Sankalp, Özgür Kişi
Water Resources Management (2023) Vol. 37, Iss. 11, pp. 4271-4292
Closed Access | Times Cited: 26
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Zhuo Chen, Danqing Song
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3384-3416
Open Access | Times Cited: 24
Forecasting actual evapotranspiration without climate data based on stacked integration of DNN and meta-heuristic models across China from 1958 to 2021
Ahmed Elbeltagi, Aman Srivastava, Penghan Li, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118697-118697
Closed Access | Times Cited: 24
Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model
Xin Xiao, Wenting Ming, Xuan Luo, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108692-108692
Open Access | Times Cited: 14
Optimizing actual evapotranspiration simulation to identify evapotranspiration partitioning variations: A fusion of physical processes and machine learning techniques
Xiaoman Jiang, Yuntao Wang, A Yinglan, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108755-108755
Open Access | Times Cited: 10
Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
Stephen Luo Sheng Yong, Jing Lin Ng, Yuk Feng Huang, et al.
Water Resources Management (2024) Vol. 38, Iss. 11, pp. 4213-4241
Closed Access | Times Cited: 10
Prediction of reference crop evapotranspiration based on improved convolutional neural network (CNN) and long short-term memory network (LSTM) models in Northeast China
Menghang Li, Qingyun Zhou, Xin Han, et al.
Journal of Hydrology (2024), pp. 132223-132223
Closed Access | Times Cited: 9
A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management
Tanya M. Doody, Sicong Gao, W. Vervoort, et al.
Journal of Environmental Management (2023) Vol. 332, pp. 117393-117393
Open Access | Times Cited: 14
Inverting Chlorophyll Content in Jujube Leaves Using a Back-Propagation Neural Network–Random Forest–Ridge Regression Algorithm with Combined Hyperspectral Data and Image Color Channels
Jingming Wu, Tiecheng Bai, Xu Li
Agronomy (2024) Vol. 14, Iss. 1, pp. 140-140
Open Access | Times Cited: 6
Geospatial Artificial Intelligence (GeoAI) and Satellite Imagery Fusion for Soil Physical Property Predicting
Fatemeh Sadat Hosseini, Myoung Bae Seo, Seyed Vahid Razavi-Termeh, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14125-14125
Open Access | Times Cited: 11
Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
Shichao Wang, Xiaoge Yu, Yan Li, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3469-3487
Closed Access | Times Cited: 10
A deep learning-based probabilistic approach to flash flood warnings in mountainous catchments
Yuting Zhao, Xuemei Wu, Wenjiang Zhang, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132677-132677
Closed Access
A novel approach for estimating evapotranspiration by considering topographic effects in radiation over mountainous terrain
Yixiao Zhang, Tao He, Shunlin Liang, et al.
Agricultural and Forest Meteorology (2025) Vol. 366, pp. 110468-110468
Open Access
Dynamic processes of water conflicts and their coupling with water crises in Asia’s transboundary river basins
Xuanxuan Wang, Buli Cui, Yaning Chen, et al.
Ecological Indicators (2025) Vol. 172, pp. 113325-113325
Open Access
Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking
Ziheng Feng, Jiliang Zhao, Liunan Suo, et al.
The Crop Journal (2025)
Open Access
Improving terrestrial evapotranspiration estimation using physics-guided machine learning model driven by solar-induced chlorophyll fluorescence
Renjun Wang, Xiang Qin, Zhiheng Du, et al.
Journal of Hydrology (2025), pp. 133468-133468
Closed Access
Hyperspectral estimation model of key nutrient elements and spectral characteristics analysis in different organs of Pinus yunnanensis
Xuzhen Zhong, Jinliang Wang, Jie Li, et al.
Microchemical Journal (2025), pp. 114027-114027
Closed Access
A Comparative Analysis of Multiple Machine Learning Methods for Flood Routing in the Yangtze River
Liwei Zhou, Ling Kang
Water (2023) Vol. 15, Iss. 8, pp. 1556-1556
Open Access | Times Cited: 9
A Hybrid Framework for Simulating Actual Evapotranspiration in Data-Deficient Areas: A Case Study of the Inner Mongolia Section of the Yellow River Basin
Xiaoman Jiang, Guoqiang Wang, Yuntao Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2234-2234
Open Access | Times Cited: 7
A gap filling method for daily evapotranspiration of global flux data sets based on deep learning
Long Qian, Lifeng Wu, Zhitao Zhang, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131787-131787
Closed Access | Times Cited: 2
A Method for Identifying the Dominant Meteorological Factors of Atmospheric Evaporative Demand in Mid‐Long Term
Saiyan Liu, Yangyang Xie, Hongyuan Fang, et al.
Water Resources Research (2023) Vol. 59, Iss. 7
Closed Access | Times Cited: 5
Study on the Erosion and Deposition Changes of Tidal Flat in Jiangsu Province Using ICESat-2 and Sentinel-2 Data
Kaizheng Wang, Huan Li, Nan Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3598-3598
Open Access | Times Cited: 4
Drought Awareness Over Continental United States
Mashrekur Rahman, Samuel Sandoval‐Solis, Thomas Harter, et al.
(2024)
Closed Access | Times Cited: 1
Prediction of Large-Scale Regional Evapotranspiration Based on Multi-Scale Feature Extraction and Multi-Headed Self-Attention
Xin Zheng, Sha Zhang, Jiahua Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1235-1235
Open Access | Times Cited: 1
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