
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: 41
Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3470-3470
Open Access | Times Cited: 41
Showing 1-25 of 41 citing articles:
Forecasting wholesale prices of yellow corn through the Gaussian process regression
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8693-8710
Closed Access | Times Cited: 160
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8693-8710
Closed Access | Times Cited: 160
Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction
Muhammad Naqeeb Nawaz, Badee Alshameri, Zain Maqsood, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10545-10566
Closed Access | Times Cited: 19
Muhammad Naqeeb Nawaz, Badee Alshameri, Zain Maqsood, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10545-10566
Closed Access | Times Cited: 19
EJS: Multi-Strategy Enhanced Jellyfish Search Algorithm for Engineering Applications
Gang Hu, Jiao Wang, Min Li, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 851-851
Open Access | Times Cited: 37
Gang Hu, Jiao Wang, Min Li, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 851-851
Open Access | Times Cited: 37
Hybrid Multilevel Thresholding Image Segmentation Approach for Brain MRI
Suvita Rani Sharma, Samah Alshathri, Birmohan Singh, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 925-925
Open Access | Times Cited: 26
Suvita Rani Sharma, Samah Alshathri, Birmohan Singh, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 925-925
Open Access | Times Cited: 26
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
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: 24
Aliasghar Azma, Yakun Liu, Masoumeh Azma, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103957-103957
Closed Access | Times Cited: 24
Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models
Cenk Sezen, Mojca Šraj
The Science of The Total Environment (2024) Vol. 926, pp. 171684-171684
Open Access | Times Cited: 15
Cenk Sezen, Mojca Šraj
The Science of The Total Environment (2024) Vol. 926, pp. 171684-171684
Open Access | Times Cited: 15
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: 14
Dachun Feng, Qianyu Han, Longqin Xu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102501-102501
Open Access | Times Cited: 14
Association mining based deep learning approach for financial time-series forecasting
Tanya Srivastava, Ishita Mullick, Jatin Bedi
Applied Soft Computing (2024) Vol. 155, pp. 111469-111469
Closed Access | Times Cited: 13
Tanya Srivastava, Ishita Mullick, Jatin Bedi
Applied Soft Computing (2024) Vol. 155, pp. 111469-111469
Closed Access | Times Cited: 13
Stock trend prediction based on dynamic hypergraph spatio-temporal network
Sihao Liao, Liang Xie, Yuanchuang Du, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111329-111329
Closed Access | Times Cited: 11
Sihao Liao, Liang Xie, Yuanchuang Du, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111329-111329
Closed Access | Times Cited: 11
Drought index time series forecasting via three-in-one machine learning concept for the Euphrates basin
Levent Latifoğlu, Savaş Bayram, Gaye Aktürk, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 10
Levent Latifoğlu, Savaş Bayram, Gaye Aktürk, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 10
SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Long-short Term Cross Echo State Network for time series forecasting task
Dongchen Jiang, Li Cui, Yi Zeng, et al.
Applied Soft Computing (2025), pp. 112997-112997
Closed Access | Times Cited: 1
Dongchen Jiang, Li Cui, Yi Zeng, et al.
Applied Soft Computing (2025), pp. 112997-112997
Closed Access | Times Cited: 1
Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method
Xiwen Zhang, Hui Xiao
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106140-106140
Closed Access | Times Cited: 6
Xiwen Zhang, Hui Xiao
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106140-106140
Closed Access | Times Cited: 6
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks
Piotr S. Maciąg, Robert Bembenik, Aleksandra Piekarzewicz, et al.
Environmental Modelling & Software (2023) Vol. 170, pp. 105851-105851
Open Access | Times Cited: 16
Piotr S. Maciąg, Robert Bembenik, Aleksandra Piekarzewicz, et al.
Environmental Modelling & Software (2023) Vol. 170, pp. 105851-105851
Open Access | Times Cited: 16
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: 15
Farid Hassanbaki Garabaghi, Semra Benzer, Recep Benzer
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Closed Access | Times Cited: 15
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
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
Bias learning improves data driven models for streamflow prediction
Yongen Lin, Dagang Wang, Meng Yue, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101557-101557
Open Access | Times Cited: 11
Yongen Lin, Dagang Wang, Meng Yue, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101557-101557
Open Access | Times Cited: 11
Surface roughness prediction and roughness reliability evaluation of CNC milling based on surface topography simulation
Ziling Zhang, Xiaodong Lv, Baobao Qi, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 4
Ziling Zhang, Xiaodong Lv, Baobao Qi, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 4
Towards seasonal-based assessment of machine learning models in river dissolved oxygen simulations with different flow ranges
Naser Shiri, Özgür Kişi, Sepideh Karimi, et al.
ISH Journal of Hydraulic Engineering (2025), pp. 1-22
Closed Access
Naser Shiri, Özgür Kişi, Sepideh Karimi, et al.
ISH Journal of Hydraulic Engineering (2025), pp. 1-22
Closed Access
Forecasting DO of the river-type reservoirs using input variable selection and machine learning techniques - taking Shuikou reservoir in the Minjiang River as an example
Peng Zhang, S. Mei, Chengchun Shi, et al.
Ecological Indicators (2023) Vol. 155, pp. 110995-110995
Open Access | Times Cited: 8
Peng Zhang, S. Mei, Chengchun Shi, et al.
Ecological Indicators (2023) Vol. 155, pp. 110995-110995
Open Access | Times Cited: 8
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 | Times Cited: 3
S. X. Du, Hailong Shen
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8747-8747
Open Access | Times Cited: 3
A hybrid water quality prediction model based on variational mode decomposition and bidirectional gated recursive unit
Jiange Jiao, Qianqian Ma, Senjun Huang, et al.
Water Science & Technology (2024) Vol. 89, Iss. 9, pp. 2273-2289
Open Access | Times Cited: 2
Jiange Jiao, Qianqian Ma, Senjun Huang, et al.
Water Science & Technology (2024) Vol. 89, Iss. 9, pp. 2273-2289
Open Access | Times Cited: 2
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: 2
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: 2
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: 2
Ali Saber, Sadra Shadkani, Yousef Hemmatzadeh, et al.
(2024)
Closed Access | Times Cited: 2