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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:

Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms
Mehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Agricultural Water Management (2022) Vol. 269, pp. 107679-107679
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Deep learning based computer vision approaches for smart agricultural applications
V. G. Dhanya, A. Subeesh, Nand Lal Kushwaha, et al.
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 211-229
Open Access | Times Cited: 155
Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study
Hussam Eldin Elzain, Osman Abdalla, Mohammed Abdallah, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120246-120246
Closed Access | Times Cited: 18
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105895-105895
Closed Access | Times Cited: 24
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Journal of Cleaner Production (2022) Vol. 374, pp. 134011-134011
Closed Access | Times Cited: 30
Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, et al.
Agricultural Water Management (2023) Vol. 290, pp. 108604-108604
Open Access | Times Cited: 18
Enhancing precision of root-zone soil moisture content prediction in a kiwifruit orchard using UAV multi-spectral image features and ensemble learning
Shidan Zhu, Ningbo Cui, Li Guo, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108943-108943
Closed Access | Times Cited: 7
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
Masoud Karbasi, Mumtaz Ali, Sayed M. Bateni, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Mehdi Jamei, Masoud Karbasi, Mumtaz Ali, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119811-119811
Closed Access | Times Cited: 14
Compound Hydrological Forecasting Model by Long Short-term Memory Network Coupled with Adaptive Mode Decomposition and Evolutionary Algorithm
Zhong-kai Feng, Wen-jie Liu, Wen-jing Niu, et al.
Water Resources Management (2025)
Closed Access
Multi-Task Neural Networks for Multi-Step Soil Moisture Forecasting in Vineyards using Internet-of-Things Sensors
Ada Baldi, Laura Carnevali, Giovanni Collodi, et al.
Smart Agricultural Technology (2025), pp. 100769-100769
Open Access
Soil moisture estimation with microwave remote sensing: a systematic review and meta-analysis
Nuo Xu, André Daccache, Arman Ahmadi, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1, pp. 1-27
Open Access
Surface water electrical conductivity and bicarbonate ion determination using a smart hybridization of optimal Boruta package with Elman recurrent neural network
Mehdi Jamei, Mumtaz Ali, Bakhtiar Karimi, et al.
Process Safety and Environmental Protection (2023) Vol. 174, pp. 115-134
Closed Access | Times Cited: 10
Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
Salim Heddam, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mayadah W. Falah, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 51, pp. 77157-77187
Closed Access | Times Cited: 14
Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine
Mehdi Jamei, Prabhakar Sharma, Mumtaz Ali, et al.
Energy (2023) Vol. 288, pp. 129862-129862
Closed Access | Times Cited: 7
Application of machine learning and Fuzzy AHP for identification of suitable groundwater potential zones using field based hydrogeophysical and soil hydraulic factors in a complex hydrogeological terrain
Sudipa Halder, Sayak Karmakar, Pratik Maiti, et al.
Groundwater for Sustainable Development (2024) Vol. 27, pp. 101329-101329
Closed Access | Times Cited: 2
Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning
Shukran A. Sahaar, Jeffrey D. Niemann
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3699-3699
Open Access | Times Cited: 2
Multiscale extrapolative learning algorithm for predictive soil moisture modeling & applications
Debaditya Chakraborty, Hakan Başağaoğlu, Sara Alian, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119056-119056
Open Access | Times Cited: 11
Potential of Remote Sensing Images for Soil Moisture Retrieving Using Ensemble Learning Methods in Vegetation-Covered Area
Ya Gao, Liguo Wang, Geji Zhong, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 8149-8165
Open Access | Times Cited: 6
Two-phase mixture numerical and soft computing-based simulation of forced convection of biologically prepared water-silver nanofluid inside a double-pipe heat exchanger with converging sinusoidal wall: Hydrothermal performance and entropy generation analysis
Amin Shahsavar, Saman Alimohammadi, Ighball Baniasad Askari, et al.
Engineering Analysis with Boundary Elements (2022) Vol. 143, pp. 43-60
Closed Access | Times Cited: 8
Developing a novel hybrid model based on deep neural networks and discrete wavelet transform algorithm for prediction of daily air temperature
Redvan Ghasemlounıa, Amin Gharehbaghi, Farshad Ahmadi, et al.
Air Quality Atmosphere & Health (2024) Vol. 17, Iss. 11, pp. 2723-2737
Closed Access | Times Cited: 1
Evaluation of the gully erosion susceptibility by using UAV and hybrid models based on machine learning
Qian Wang, Bo‐Hui Tang, Kailin Wang, et al.
Soil and Tillage Research (2024) Vol. 244, pp. 106218-106218
Closed Access | Times Cited: 1
A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach
Mehdi Jamei, Bakhtiar Karimi, Mumtaz Ali, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129402-129402
Closed Access | Times Cited: 4
Experimental and computational assessment of wetting pattern for two-layered soil profiles in pulse drip irrigation: Designing a novel optimized bidirectional deep learning paradigm
Mehdi Jamei, Farahnaz Karimi, Mumtaz Ali, et al.
Journal of Hydrology (2022) Vol. 614, pp. 128496-128496
Closed Access | Times Cited: 7
Computer Vision and Machine Learning in Agriculture: An Introduction
Jagdish Chand Bansal, Mohammad Shorif Uddin
Algorithms for intelligent systems (2023), pp. 1-18
Closed Access | Times Cited: 3
Multistep Ahead Forecasting of Electrical Conductivity in Rivers by Using a Hybrid Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) Model Enhanced by Boruta-XGBoost Feature Selection Algorithm
Masoud Karbasi, Mumtaz Ali, Sayed M. Bateni, et al.
Research Square (Research Square) (2023)
Closed Access | Times Cited: 2
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