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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:

Dam Water Level Prediction Using Vector AutoRegression, Random Forest Regression and MLP-ANN Models Based on Land-Use and Climate Factors
Yashon O. Ouma, Ditiro B. Moalafhi, George Anderson, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 14934-14934
Open Access | Times Cited: 15

Showing 15 citing articles:

Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach
Yashon O. Ouma, Amantle Keitsile, Boipuso Nkwae, et al.
European Journal of Remote Sensing (2023) Vol. 56, Iss. 1
Open Access | Times Cited: 35
An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation
Sheng Xiao, Lin Cheng, Chunhui Ma, et al.
Journal of Civil Structural Health Monitoring (2024) Vol. 14, Iss. 3, pp. 763-779
Closed Access | Times Cited: 7
Spatially adaptive machine learning models for predicting water quality in Hong Kong
Qiaoli Wang, Zijun Li, Jiannan Cai, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129649-129649
Closed Access | Times Cited: 17
Analysis of Future Demand and Resources in Abu Dhabi: A VAR Model Approach
Mahmoud E. Ahmed, Salem Issa, Mohamed A. Hamouda
Water science and technology library (2025), pp. 431-448
Closed Access
Reservoir Operation based Machine Learning Models: Comprehensive Review for Limitations, Research Gap, and Possible Future Research Direction
Ahmad Fares Al-Nouti, Minglei Fu, Neeraj Dhanraj Bokde
Knowledge-Based Engineering and Sciences (2024) Vol. 5, Iss. 2, pp. 75-139
Open Access | Times Cited: 2
A comparative study on daily evapotranspiration estimation by using various artificial intelligence techniques and traditional regression calculations
Hasan Güzel, Fatih Üneş, Merve Erginer, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 11328-11352
Open Access | Times Cited: 5
Urban Geothermal Resource Potential Mapping Using Data-Driven Models—A Case Study of Zhuhai City
Yu Bian, Yong Ni, Ya Guo, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7501-7501
Open Access | Times Cited: 1
Analyzing the effects of streetscape and land use on urban accidents and predicting future accidents by using machine learning algorithms (case study: Mashhad)
Seyed Amir Mohammad Bagheri, Barat Mojaradi, Neda Kamboozia, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33346-e33346
Open Access | Times Cited: 1
Advanced Predictive Modeling for Dam Occupancy Using Historical and Meteorological Data
Cemkut Badem, Recep YILMAZ, Muhammet Raşit Cesur, et al.
(2024)
Open Access | Times Cited: 1
Lake pulses driven by glacier melting and climate variability
Songtao Ai, Shoukat Ali Shah, Yi Cai, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Towards an efficient machine learning model for financial time series forecasting
Arun Kumar, Tanya Chauhan, Srinivasan Natesan, et al.
Soft Computing (2023) Vol. 27, Iss. 16, pp. 11329-11339
Closed Access | Times Cited: 3
Estimation of Dam Water Level by Means of Discrete Wavelet Decompositin and a Set of Machine Learning Algorithms
Türker Tuğrul, Mehmet Ali Hınıs
(2024)
Closed Access
Advanced Predictive Modeling for Dam Occupancy Using Historical and Meteorological Data
Ahmet Cemkut BADEM, Recep YILMAZ, Muhammet Raşit Cesur, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7696-7696
Open Access
Quantifying urban three-dimensional building form effects on land surface temperature: a case study of Beijing, China
Siyuan Li, Nannan Zhang
Journal of Applied Remote Sensing (2023) Vol. 17, Iss. 04
Closed Access | Times Cited: 1
Application of Machine Learning for Daily Forecasting Dam Water Levels
Mohammad Abdullah Almubaidin, Ali Najah Ahmed, Chris Aaron Anak Winston, et al.
Tikrit Journal of Engineering Sciences (2023) Vol. 30, Iss. 4, pp. 74-87
Open Access
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