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 CatBoost Method for Predicting Weekly Pan Evaporation in Subtropical and Sub-Humid Regions
Dinesh Kumar Vishwakarma, Pankaj Kumar, Krishna Kumar Yadav, et al.
Pure and Applied Geophysics (2024) Vol. 181, Iss. 2, pp. 719-747
Open Access | Times Cited: 13
Dinesh Kumar Vishwakarma, Pankaj Kumar, Krishna Kumar Yadav, et al.
Pure and Applied Geophysics (2024) Vol. 181, Iss. 2, pp. 719-747
Open Access | Times Cited: 13
Showing 13 citing articles:
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models
Khabat Khosravi, Aitazaz A. Farooque, Seyed Amir Naghibi, et al.
Ecological Informatics (2024) Vol. 85, pp. 102933-102933
Open Access | Times Cited: 11
Khabat Khosravi, Aitazaz A. Farooque, Seyed Amir Naghibi, et al.
Ecological Informatics (2024) Vol. 85, pp. 102933-102933
Open Access | Times Cited: 11
Estimation of crop evapotranspiration using statistical and machine learning techniques with limited meteorological data: a case study in Udham Singh Nagar, India
Anurag Satpathi, Abhishek Danodia, Ajeet Singh Nain, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 6, pp. 5279-5296
Closed Access | Times Cited: 9
Anurag Satpathi, Abhishek Danodia, Ajeet Singh Nain, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 6, pp. 5279-5296
Closed Access | Times Cited: 9
Hybrid catboost models optimized with metaheuristics for predicting shear strength in rock joints
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Matin Rouhani, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access | Times Cited: 1
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Matin Rouhani, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access | Times Cited: 1
Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET0
Rab Nawaz Bashir, Olfa Mzoughi, Muhammad Ali Shahid, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109036-109036
Closed Access | Times Cited: 5
Rab Nawaz Bashir, Olfa Mzoughi, Muhammad Ali Shahid, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109036-109036
Closed Access | Times Cited: 5
Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 5
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 5
Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India
Jitendra Rajput, Nand Lal Kushwaha, Aman Srivastava, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 7, pp. 2655-2672
Open Access | Times Cited: 4
Jitendra Rajput, Nand Lal Kushwaha, Aman Srivastava, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 7, pp. 2655-2672
Open Access | Times Cited: 4
Evaporation forecasting using different machine learning models in Beni Haroun Dam, Algeria
Zohra Baba Amer, Boutouatou Farah
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access
Zohra Baba Amer, Boutouatou Farah
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access
Optimizing water management and climate-resilient agriculture in rice-fallow regions of the Dwarakeswar river basin using ML models
Chiranjit Singha, Satiprasad Sahoo, Ajit Govind
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Chiranjit Singha, Satiprasad Sahoo, Ajit Govind
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar
Raouf Hassan, Mohammad Reza Kazemi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Raouf Hassan, Mohammad Reza Kazemi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hyperspectral indices data fusion-based machine learning enhanced by MRMR algorithm for estimating maize chlorophyll content
Attila Nagy, Andrea Szabó, Ahmed Elbeltagi, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Attila Nagy, Andrea Szabó, Ahmed Elbeltagi, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Evaluating statistical and machine learning techniques for sugarcane yield forecasting in the tarai region of North India
Anurag Satpathi, Neha Chand, Parul Setiya, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109667-109667
Closed Access | Times Cited: 2
Anurag Satpathi, Neha Chand, Parul Setiya, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109667-109667
Closed Access | Times Cited: 2
Application of machine learning techniques for ambulance coverage prediction
Raja Manaa, Maroua Ben Talha, Lina Aboueljinane, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
Raja Manaa, Maroua Ben Talha, Lina Aboueljinane, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran)
Mohsen Saroughi, Ehsan Mirzania, Mohammed Achite, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e29006-e29006
Open Access
Mohsen Saroughi, Ehsan Mirzania, Mohammed Achite, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e29006-e29006
Open Access
