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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:

Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management
Abia Katimbo, Daran R. Rudnick, Jingwen Zhang, et al.
Smart Agricultural Technology (2023) Vol. 4, pp. 100176-100176
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management
Fernando Fuentes-Peñailillo, Karen Gutter, Ricardo Vega, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 4, pp. 39-39
Open Access | Times Cited: 39
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: 17
Unleashing the power of artificial intelligence for climate action in industrial markets
Shahriar Akter, Mujahid Mohiuddin Babu, Umme Hani, et al.
Industrial Marketing Management (2024) Vol. 117, pp. 92-113
Open Access | Times Cited: 14
Unleashing the power of machine learning and remote sensing for robust seasonal drought monitoring: A stacking ensemble approach
Xinlei Xu, Fangzheng Chen, Bin Wang, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131102-131102
Closed Access | Times Cited: 11
DDNSAS: Deep reinforcement learning based deep Q-learning network for smart agriculture system
Ganesh Gopal Devarajan, Senthil Murugan Nagarajan, Ramana T.V., et al.
Sustainable Computing Informatics and Systems (2023) Vol. 39, pp. 100890-100890
Closed Access | Times Cited: 18
Optimization of multi-dimensional indices for kiwifruit orchard soil moisture content estimation using UAV and ground multi-sensors
Shidan Zhu, Ningbo Cui, Huaan Jin, et al.
Agricultural Water Management (2024) Vol. 294, pp. 108705-108705
Open Access | Times Cited: 7
Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach
Rab Nawaz Bashir, Mahlaqa Saeed, Mohammed Al-Sarem, et al.
Internet of Things (2023) Vol. 24, pp. 100962-100962
Open Access | Times Cited: 13
Investigating the impacts of different degrees of deficit irrigation and nitrogen interactions on assimilate translocation, yield, and resource use efficiencies in winter wheat
Tingxuan Zhuang, Syed Tahir Ata-Ul-Karim, Ben Zhao, et al.
Agricultural Water Management (2024) Vol. 304, pp. 109089-109089
Open Access | Times Cited: 5
Adaptive and predictive decision support system for irrigation scheduling: An approach integrating humans in the control loop
Gregory Conde, Sandra M. Guzmán, Akshara Athelly
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108640-108640
Closed Access | Times Cited: 4
Smart Irrigation through Intelligent Communication and Networking: Design and Implementation
Bhupendra Kumar, Vijay Kumar Rayabharapu, N. L. Aravinda, et al.
SSRN Electronic Journal (2025)
Closed Access
Advancing sustainable agriculture for goal 2: zero hunger - a comprehensive overview of practices, policies, and technologies
Andualem Muche Hiywotu
Agroecology and Sustainable Food Systems (2025), pp. 1-29
Open Access
Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management
Mahfuzur Rahman, Md Mehedi Hasan, Md Anuwer Hossain, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124363-124363
Closed Access
Canopy management practices in warm environment vineyards to improve grape yield and quality in a changing climate. A review A vademecum to vine canopy management under the challenge of global warming
Kidanemaryam Wagaw, Yishai Netzer, Naftali Lazarovitch, et al.
Scientia Horticulturae (2025) Vol. 341, pp. 113998-113998
Open Access
Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth
Tingxuan Zhuang, Ben Zhao, Syed Tahir Ata-Ul-Karim, et al.
Agricultural Water Management (2025) Vol. 309, pp. 109364-109364
Open Access
Remote sensing and artificial intelligence: revolutionizing pest management in agriculture
Danishta Aziz, Summira Rafiq, Pawan Saini, et al.
Frontiers in Sustainable Food Systems (2025) Vol. 9
Open Access
A novel hybrid machine learning framework for spatio-temporal analysis of reference evapotranspiration in India
Dolon Banerjee, Sayantan Ganguly, Wen‐Ping Tsai
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102271-102271
Closed Access
Leaf area estimation in lettuce: Comparison of artificial intelligence-based methods with image analysis technique
Hadisseh Rahimikhoob, Mojtaba Delshad, Romina Habibi
Measurement (2023) Vol. 222, pp. 113636-113636
Closed Access | Times Cited: 10
An IoT-Based System for Managing and Monitoring Smart Irrigation through Mobile Integration
Senthil Vadivu M, Purushotham Reddy M, Kantilal Pitambar Rane, et al.
Journal of Machine and Computing (2023), pp. 196-205
Open Access | Times Cited: 9
IoT and Machine Learning based Precision Agriculture through the Integration of Wireless Sensor Networks
N. Mohana Priya
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 2292-2299
Open Access | Times Cited: 3
A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing
Chao-Chung Hsu, Bi-Hai Jiang, Chun‐Cheng Lin
Energies (2023) Vol. 16, Iss. 22, pp. 7660-7660
Open Access | Times Cited: 5
Prediction of Crop Water Stress Index (CWSI) Using Machine Learning Algorithms
Likith Muni Narakala, Aditi Yadav, Hitesh Upreti, et al.
World Environmental and Water Resources Congress 2011 (2024), pp. 969-980
Closed Access | Times Cited: 1
Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review
Soo Been Cho, Hidayat Mohamad Soleh, Ji Won Choi, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6313-6313
Open Access | Times Cited: 1
Artificial Intelligence, Internet of Things, and Machine-Learning
Fatima-Zahra Akensous, Naira Sbbar, Lahoucine Ech-chatir, et al.
Advances in environmental engineering and green technologies book series (2023), pp. 113-145
Closed Access | Times Cited: 4
Water Research in the Age of AI: A Bibliometric Heuristic Analysis for Trends and Opportunities
Hicham Boutracheh, Nezha Mejjad, Mohammed El Bouhadioui, et al.
Lecture notes in geoinformation and cartography (2024), pp. 3-45
Closed Access
Enhancing cotton irrigation with distributional actor–critic reinforcement learning
Yi Chen, Meiwei Lin, Zhuo Yu, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109194-109194
Open Access
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