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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:

A multi-model data fusion methodology for reservoir water quality based on machine learning algorithms and bayesian maximum entropy
Mohammad Zamani, Mohammad Reza Nikoo, Fereshteh Niknazar, et al.
Journal of Cleaner Production (2023) Vol. 416, pp. 137885-137885
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Predicting the mechanical properties of plastic concrete: An optimization method by using genetic programming and ensemble learners
Usama Asif, Muhammad Faisal Javed, Maher Abuhussain, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03135-e03135
Open Access | Times Cited: 31
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Mohammad Zamani, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120756-120756
Closed Access | Times Cited: 21
Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection
Mehrdad Ehsani, Mobin Ostovari, Shoaib Mansouri, et al.
Construction and Building Materials (2024) Vol. 417, pp. 135331-135331
Closed Access | Times Cited: 17
Long-term (2003−2021) evolution trend of water quality in the Three Gorges Reservoir: An evaluation based on an enhanced water quality index
Chong Sang, Lu Tan, Qinghua Cai, et al.
The Science of The Total Environment (2024) Vol. 915, pp. 169819-169819
Closed Access | Times Cited: 16
Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis
Fatemeh Yousefmarzi, Ali Haratian, Javad Mahdavi Kalatehno, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Machine learning and GIS based groundwater quality prediction for agricultural practices - A case study form Arjunanadi River basin of South India
Mohan Raj, D. Karunanidhi, N. Subba Rao, et al.
Computers and Electronics in Agriculture (2025) Vol. 229, pp. 109932-109932
Closed Access | Times Cited: 1
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Mohammad Zamani, Mohammad Reza Nikoo, Sina Jahanshahi, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 59, pp. 124316-124340
Closed Access | Times Cited: 22
Smarter water quality monitoring in reservoirs using interpretable deep learning models and feature importance analysis
Shabnam Majnooni, Mahmood Fooladi, Mohammad Reza Nikoo, et al.
Journal of Water Process Engineering (2024) Vol. 60, pp. 105187-105187
Closed Access | Times Cited: 12
Monitoring the Industrial waste polluted stream - Integrated analytics and machine learning for water quality index assessment
Ujala Ejaz, Shujaul Mulk Khan, Sadia Jehangir, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141877-141877
Closed Access | Times Cited: 11
Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis
Mahmood Fooladi, Mohammad Reza Nikoo, Rasoul Mirghafari, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121259-121259
Closed Access | Times Cited: 9
An integrated framework consisting of spatiotemporal evolution and driving force analyses for early warning management of water quality
Jianying Cai, Xuan Wang, Yanpeng Cai, et al.
Journal of Cleaner Production (2024) Vol. 462, pp. 142628-142628
Closed Access | Times Cited: 5
Drilling Overflow Diagnosis Based on the Fusion of Physical and Intelligent Algorithms
Yadong Shi, Hongda Hao, Rentong Liu, et al.
Processes (2025) Vol. 13, Iss. 2, pp. 577-577
Open Access
Cluster-based downscaling of precipitation using Kolmogorov-Arnold Neural Networks and CMIP6 models: Insights from Oman
Ali Mardy, Mohammad Reza Nikoo, Mohammad Zamani, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 124971-124971
Closed Access
A copula framework for depth-stratified water quality monitoring in reservoirs
Soheil Ghasemnezhad, Mohammad Reza Nikoo, Mahmoud Mashal, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 107057-107057
Closed Access
Deep ensemble machine learning with Bayesian blending improved accuracy and precision of modelled ground-level ozone for region with sparse monitoring: Australia, 2005-2018.
Ivan Hanigan, Yu Wang, C.W.M. Yuen, et al.
Environmental Modelling & Software (2025), pp. 106378-106378
Open Access
Real-Time Water Quality Assessment via IoT: Monitoring pH, TDS, Temperature, and Turbidity
Wibowo Harry Sugiharto, Heru Susanto, Agung Budi Prasetijo
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 4, pp. 823-831
Open Access | Times Cited: 10
Mapping reservoir water quality from Sentinel-2 satellite data based on a new approach of weighted averaging: Application of Bayesian maximum entropy
Mohammad Reza Nikoo, Mohammad Zamani, Mahshid Mohammad Zadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Optimal waste load allocation in river systems based on a new multi-objective cuckoo optimization algorithm
Shekoofeh Haghdoost, Mohammad Hossein Niksokhan, Mohammad Zamani, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 60, pp. 126116-126131
Closed Access | Times Cited: 7
Integrated ensemble learning approach for multi-depth water quality estimation in reservoir environments
Mohammad Sadegh Zare, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105840-105840
Closed Access | Times Cited: 2
A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs
Wenqing Yu, Xingju Wang, Xin Jiang, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 1, pp. 262-279
Closed Access | Times Cited: 4
Research progress in surface water quality monitoring based on remote sensing technology
Yue Zheng, Jianjun Wang, Yuriy Kondratenko, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 7, pp. 2337-2373
Closed Access | Times Cited: 1
Development of a novel packer fluid for high-temperature and high-pressure oil and gas wells with using design of experiments and artificial intelligence
Javad Mahdavi Kalatehno, Ehsan Khamehchi
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 7, pp. 2011-2035
Open Access | Times Cited: 1
A multi-model ensemble approach for reservoir dissolved oxygen forecasting based on feature screening and machine learning
Peng Zhang, Xinyang Liu, Huancheng Dai, et al.
Ecological Indicators (2024) Vol. 166, pp. 112413-112413
Open Access | Times Cited: 1
Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Mengjie He, Qin Qian, Xinyu Liu, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3616-3616
Open Access | Times Cited: 1
Identification of surface water quality pollution areas and pollution sources based on spatial clustering and random forest in Henan, China
Huaibin Wei, Haojie Qiu, Jing Liu, et al.
Research Square (Research Square) (2024)
Open Access
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