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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:

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

Showing 26-50 of 40 citing articles:

Suspended sediment load prediction in river systems via shuffled frog-leaping algorithm and neural network
Okan Mert Katipoğlu, Gaye Aktürk, Hüseyin Çağan Kılınç, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3623-3649
Closed Access | Times Cited: 1
Enhanced Predictive Modeling of Dissolved Oxygen Concentrations in Riverine Systems Using Novel Hybrid Temporal Pattern Attention Deep Neural Networks
Ali Saber, Sadra Shadkani, Yousef Hemmatzadeh, et al.
(2024)
Closed Access | Times Cited: 1
Kernel-based framework for improved prediction of discharge coefficient in vertically supported cylindrical weirs
Kiyoumars Roushangar, Amir Mehrizad
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 1883-1905
Open Access | Times Cited: 1
Performance of data-driven models based on seasonal-trend decomposition for streamflow forecasting in different climate regions of Türkiye
Volkan Yılmaz, Cihangir Köyceğiz, Meral Büyükyıldız
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 136, pp. 103696-103696
Closed Access | Times Cited: 1
Enhanced Predictive Modeling of Dissolved Oxygen Concentrations in Riverine Systems Using Novel Hybrid Temporal Pattern Attention Deep Neural Networks
Sadra Shadkani, Yousef Hemmatzadeh, Ali Saber, et al.
Environmental Research (2024), pp. 120015-120015
Closed Access | Times Cited: 1
Reinforcement Learning-Based Multimodal Model for the Stock Investment Portfolio Management Task
S. X. Du, Hailong Shen
Electronics (2024) Vol. 13, Iss. 19, pp. 3895-3895
Open Access | Times Cited: 1
Comprehensive Evaluation Method for Traffic Flow Data Quality Based on Grey Correlation Analysis and Particle Swarm Optimization
Wei Ba, Bao-Jun Chen, Qi Li
Journal of Systems Science and Systems Engineering (2023) Vol. 33, Iss. 1, pp. 106-128
Closed Access | Times Cited: 3
Consumer Purchasing Power Prediction of Interest E-Commerce Based on Cost-Sensitive Support Vector Machine
Rendao Ye, Mengyao Yang, Peng Sun
Sustainability (2023) Vol. 15, Iss. 20, pp. 14693-14693
Open Access | Times Cited: 2
Modeling and Sustainability Implications of Harsh Driving Events: A Predictive Machine Learning Approach
Antonis Kostopoulos, Thodoris Garefalakis, Eva Michelaraki, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6151-6151
Open Access
A Stock Prediction Method Based on Deep Reinforcement Learning and Sentiment Analysis
S. X. Du, Hailong Shen
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8747-8747
Open Access
Semi-supervised prediction method for time series based on Monte Carlo and time fusion feature attention
Yang Yang, Jing Zhang, Lulu Wang
Applied Soft Computing (2024), pp. 112283-112283
Closed Access
A novel interpretable hybrid model for multi-step ahead dissolved oxygen forecasting in the Mississippi River basin
Hassan M. Alwan, Mehdi Mohammadi Ghaleni, Mahnoosh Moghaddasi, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Characterization and classification of odorous raw milk: volatile profiles and algorithm model perspectives
Weizhe Wang, Ruirui Liu, Yufang Su, et al.
Journal of Food Composition and Analysis (2024), pp. 107030-107030
Closed Access
Impact Assessment of Coupling Mode of Hydrological Model and Machine Learning Model on Runoff Simulation: A Case of Washington
Junqi Zhang, Jing Li, Hua Zhao, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1461-1461
Open Access
Predicting and Reconstructing Aerosol–Cloud–Precipitation Interactions with Physics-Informed Neural Networks
A. Hu, Z. J. Kabala
Atmosphere (2023) Vol. 14, Iss. 12, pp. 1798-1798
Open Access | Times Cited: 1
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