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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:

Dissolved oxygen concentration predictions for running waters with using hybrid machine learning techniques
Reza Dehghani, Hasan Torabi, Zohreh Izadi
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 2, pp. 2599-2613
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction
Iman Ahmadianfar, Seyedehelham Shirvani-Hosseini, Jianxun He, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Modeling Multistep Ahead Dissolved Oxygen Concentration Using Improved Support Vector Machines by a Hybrid Metaheuristic Algorithm
Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3470-3470
Open Access | Times Cited: 40
A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration
Ehsan Mirzania, Dinesh Kumar Vishwakarma, Quynh-Anh Thi Bui, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 5
Closed Access | Times Cited: 25
Hybrid machine learning models for prediction of daily dissolved oxygen
Aliasghar Azma, Yakun Liu, Masoumeh Azma, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103957-103957
Closed Access | Times Cited: 22
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
An ensembled method for predicting dissolved oxygen level in aquaculture environment
Dachun Feng, Qianyu Han, Longqin Xu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102501-102501
Open Access | Times Cited: 12
A Novel Hybrid Model to Predict Dissolved Oxygen for Efficient Water Quality in Intensive Aquaculture
Wenjun Liu, Shuangyin Liu, Shahbaz Gul Hassan, et al.
IEEE Access (2023) Vol. 11, pp. 29162-29174
Open Access | Times Cited: 20
Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye
Okan Mert Katipoğlu, Metin Sarıgöl
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 16, pp. 46074-46091
Closed Access | Times Cited: 19
Predicting dissolved oxygen level using Young's double-slit experiment optimizer-based weighting model
Ying Dong, Yuhuan Sun, Zhenkun Liu, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119807-119807
Closed Access | Times Cited: 16
Temporal prediction of dissolved oxygen based on CEEMDAN and multi-strategy LSTM hybrid model
Kiyoumars Roushangar, Sina Davoudi, Saman Shahnazi
Environmental Earth Sciences (2024) Vol. 83, Iss. 6
Closed Access | Times Cited: 7
Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River
Shuguang Li, Sultan Noman Qasem, Shahab S. Band, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 5
Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms
Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, et al.
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access
Dissolved Oxygen Prediction in the Dianchi River Basin with Explainable Artificial Intelligence based on Physical Prior Knowledge
Tunhua Wu, Xi Chen, Jinghan Dong, et al.
Environmental Modelling & Software (2025) Vol. 188, pp. 106412-106412
Closed Access
An efficient strategy for predicting river dissolved oxygen concentration: application of deep recurrent neural network model
Salar Valizadeh Moghadam, Ahmad Sharafati, Hajar Feizi, et al.
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 12
Closed Access | Times Cited: 38
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU
Arepalli Peda Gopi, K. Jairam Naik
Ecological Informatics (2023) Vol. 79, pp. 102405-102405
Open Access | Times Cited: 15
Estimation of monthly evaporation values using gradient boosting machines and mode decomposition techniques in the Southeast Anatolia Project (GAP) area in Turkey
Metin Sarıgöl, Okan Mert Katipoğlu
Acta Geophysica (2023) Vol. 72, Iss. 2, pp. 999-1016
Closed Access | Times Cited: 14
Modeling dissolved oxygen concentration using machine learning techniques with dimensionality reduction approach
Farid Hassanbaki Garabaghi, Semra Benzer, Recep Benzer
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Closed Access | Times Cited: 14
Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model
Tao Hai, Iman Ahmadianfar, Bijay Halder, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32382-32406
Closed Access | Times Cited: 4
Multivariate Streamflow Simulation Using Hybrid Deep Learning Models
Eyob Betru Wegayehu, Fiseha Behulu Muluneh
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 31
A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions
Zahraa S. Khudhair, Salah L. Zubaidi, Sandra Ortega‐Martorell, et al.
Environments (2022) Vol. 9, Iss. 7, pp. 85-85
Open Access | Times Cited: 21
An efficient data fusion model based on Bayesian model averaging for robust water quality prediction using deep learning strategies
Meysam Alizamir, Kayhan Moradveisi, Kaywan Othman Ahmed, et al.
Expert Systems with Applications (2024) Vol. 261, pp. 125499-125499
Closed Access | Times Cited: 3
Use of meta-heuristic approach in the estimation of aquifer's response to climate change under shared socioeconomic pathways
Nejat Zeydalinejad, Reza Dehghani
Groundwater for Sustainable Development (2022) Vol. 20, pp. 100882-100882
Closed Access | Times Cited: 14
The potential of novel hybrid SBO-based long short-term memory network for prediction of dissolved oxygen concentration in successive points of the Savannah River, USA
Kiyoumars Roushangar, Sina Davoudi, Saman Shahnazi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 16, pp. 46960-46978
Closed Access | Times Cited: 7
Multi‐Model Machine Learning Approach Accurately Predicts Lake Dissolved Oxygen With Multiple Environmental Inputs
Shuqi Lin, Donald C. Pierson, Robert Ladwig, et al.
Earth and Space Science (2024) Vol. 11, Iss. 7
Open Access | Times Cited: 2
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
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