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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:

Comparison of four bio-inspired algorithms to optimize KNEA for predicting monthly reference evapotranspiration in different climate zones of China
Jianhua Dong, Xiaogang Liu, Guomin Huang, et al.
Computers and Electronics in Agriculture (2021) Vol. 186, pp. 106211-106211
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China
Jianhua Dong, Wenzhi Zeng, Lifeng Wu, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105579-105579
Closed Access | Times Cited: 71
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Pooja Goyal, Sunil Kumar, Rakesh Sharda
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107836-107836
Closed Access | Times Cited: 40
A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain
Hanmi Zhou, Linshuang Ma, Xiaoli Niu, et al.
Agricultural Water Management (2024) Vol. 296, pp. 108807-108807
Open Access | Times Cited: 9
A new regional reference evapotranspiration model based on quantile approximation of meteorological variables
Guomin Huang, Jianhua Dong, Lifeng Wu, et al.
Agricultural Water Management (2025) Vol. 308, pp. 109299-109299
Open Access | Times Cited: 1
Estimation of daily reference evapotranspiration based on an improved Slime Mould Algorithm (SMA) for the Hetao irrigation district in northwest China
Huaijie He, Zhengqian Wang, Zhenchen Wang, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access | Times Cited: 1
Development of Boosted Machine Learning Models for Estimating Daily Reference Evapotranspiration and Comparison with Empirical Approaches
Saeid Mehdizadeh, Babak Mohammadi, Quoc Bao Pham, et al.
Water (2021) Vol. 13, Iss. 24, pp. 3489-3489
Open Access | Times Cited: 35
Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation
Lili Gao, Daozhi Gong, Ningbo Cui, et al.
Computers and Electronics in Agriculture (2021) Vol. 190, pp. 106466-106466
Closed Access | Times Cited: 34
Simulation of dew point temperature in different time scales based on grasshopper algorithm optimized extreme gradient boosting
Jianhua Dong, Wenzhi Zeng, Guoqing Lei, et al.
Journal of Hydrology (2022) Vol. 606, pp. 127452-127452
Closed Access | Times Cited: 24
Analysis of spatial-temporal trends and causes of vapor pressure deficit in China from 1961 to 2020
Jianhua Dong, Lifeng Wu, Wenzhi Zeng, et al.
Atmospheric Research (2023) Vol. 299, pp. 107199-107199
Closed Access | Times Cited: 15
Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions
Hadeel E. Khairan, Salah L. Zubaidi, Yousif Raad Muhsen, et al.
Atmosphere (2022) Vol. 14, Iss. 1, pp. 77-77
Open Access | Times Cited: 20
Predictive Modelling of Reference Evapotranspiration Using Machine Learning Models Coupled with Grey Wolf Optimizer
Pangam Heramb, K. V. Ramana Rao, A. Subeesh, et al.
Water (2023) Vol. 15, Iss. 5, pp. 856-856
Open Access | Times Cited: 12
Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model
Chuansheng Zhang, Minglai Yang
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3530-3530
Open Access
A Novel Hybrid GOA-XGB Model for Estimating Wheat Aboveground Biomass Using UAV-Based Multispectral Vegetation Indices
Yixiu Han, Rui Tang, Zhenqi Liao, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3506-3506
Open Access | Times Cited: 16
Coupling meteorological stations data and satellite data for prediction of global solar radiation with machine learning models
Shuting Zhao, Lifeng Wu, Youzhen Xiang, et al.
Renewable Energy (2022) Vol. 198, pp. 1049-1064
Closed Access | Times Cited: 16
Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference evapotranspiration in Hetao Irrigation District of China
Huaijie He, Ling Liu, Xiuqun Zhu
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1939-1956
Open Access | Times Cited: 15
Scaling solar-induced chlorophyll fluorescence by using VPD0.5 improves the simulation of reference crop evapotranspiration in the arid and semiarid regions of northern China
Renjun Wang, Jianghua Zheng, Xurui Mao, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130254-130254
Closed Access | Times Cited: 7
Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition
Ahmed Elbeltagi, Okan Mert Katipoğlu, Veysi Kartal, et al.
Applied Water Science (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 2
Evaluation of Empirical Equations and Machine Learning Models for Daily Reference Evapotranspiration Prediction Using Public Weather Forecasts
Yunfeng Liang, Dongpu Feng, Zhaojun Sun, et al.
Water (2023) Vol. 15, Iss. 22, pp. 3954-3954
Open Access | Times Cited: 5
Simulation of Diffuse Solar Radiation with Tree-Based Evolutionary Hybrid Models and Satellite Data
Shuting Zhao, Youzhen Xiang, Lifeng Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1885-1885
Open Access | Times Cited: 4
Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting
Hadeel E. Khairan, Salah L. Zubaidi, Mustafa Al-Mukhtar, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14320-14320
Open Access | Times Cited: 4
Optimization of Support Vector Machine with Biological Heuristic Algorithms for Estimation of Daily Reference Evapotranspiration Using Limited Meteorological Data in China
H. Alex Guo, Liance Wu, Xianlong Wang, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1780-1780
Open Access | Times Cited: 1
Prediction of Reference Crop Evapotranspiration in China’s Climatic Regions Using Optimized Machine Learning Models
Jian Hu, Rong Ma, Shouzheng Jiang, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3349-3349
Open Access | Times Cited: 1
Examination of Single- and Hybrid-Based Metaheuristic Algorithms in ANN Reference Evapotranspiration Estimating
Hadeel E. Khairan, Salah L. Zubaidi, Syed Fawad Raza, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14222-14222
Open Access | Times Cited: 3
Assessment of paddy expansion impact on regional climate using WRF model: a case study in Sanjiang Plain, Northeast China
Peng Huang, Dan Li, Hua Xie, et al.
Theoretical and Applied Climatology (2022) Vol. 150, Iss. 1-2, pp. 405-423
Closed Access | Times Cited: 5
Evaluation of Empirical and Machine Learning Approaches for Estimating Monthly Reference Evapotranspiration with Limited Meteorological Data in the Jialing River Basin, China
Jia Luo, Xianming Dou, Mingguo Ma
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13127-13127
Open Access | Times Cited: 5
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