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:

Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange
Mustafa Jahangoshai Rezaee, Mehrdad Jozmaleki, Mahsa Valipour
Physica A Statistical Mechanics and its Applications (2017) Vol. 489, pp. 78-93
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Stock Market Forecasting Using Computational Intelligence: A Survey
Gourav Kumar, Sanjeev Jain, Uday Pratap Singh
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 3, pp. 1069-1101
Closed Access | Times Cited: 143

Three-way decisions based multi-attribute decision-making with utility and loss functions
Garima Bisht, Arun Kumar
European Journal of Operational Research (2024) Vol. 316, Iss. 1, pp. 268-281
Closed Access | Times Cited: 17

Study on Integrated Neural Networks and Fuzzy Logic Control for Autonomous Electric Vehicles
J. Vimala Devi, Rajesh V. Argiddi, P. Renuka, et al.
Advances in web technologies and engineering book series (2024), pp. 104-127
Closed Access | Times Cited: 14

Modeling and prediction of rheological behavior of Al2O3-MWCNT/5W50 hybrid nano-lubricant by …
Mohammad Hemmat Esfe, Hossein Rostamian, Saeed Esfandeh, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 510, pp. 625-634
Closed Access | Times Cited: 115

Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks
Francisco Rodrigues Lima, Luiz César Ribeiro Carpinetti
International Journal of Production Economics (2019) Vol. 212, pp. 19-38
Closed Access | Times Cited: 95

Optimization of MWCNTs (10%) – Al2O3(90%)/5W50 nanofluid viscosity using experimental data …
Mohammad Hemmat Esfe, Mahdi Reiszadeh, Saeed Esfandeh, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 512, pp. 731-744
Closed Access | Times Cited: 91

Multi-attribute decision making on reverse logistics based on DEA-TOPSIS: A study of the Shanghai End-of-life vehicles industry
Zhiguo Wang, Hao Hao, Feng Gao, et al.
Journal of Cleaner Production (2019) Vol. 214, pp. 730-737
Closed Access | Times Cited: 84

Using artificial neural network for investigating of concurrent effects of multi-walled carbon nanotubes and alumina nanoparticles on the viscosity of 10W-40 engine oil
Mohammad Hemmat Esfe, Mohammad Hassan Kamyab, Masoud Afrand, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 510, pp. 610-624
Closed Access | Times Cited: 71

Modifying the microstructure of algae-based active carbon and modelling supercapacitors using artificial neural networks
Jiashuai Wang, Zhe Li, Shaocun Yan, et al.
RSC Advances (2019) Vol. 9, Iss. 26, pp. 14797-14808
Open Access | Times Cited: 58

Predicting Volatility Index According to Technical Index and Economic Indicators on the Basis of Deep Learning Algorithm
Sara Mehrab Daniali, Sergey Barykin, Irina Kapustina, et al.
Sustainability (2021) Vol. 13, Iss. 24, pp. 14011-14011
Open Access | Times Cited: 47

Imbalanced credit risk prediction based on SMOTE and multi-kernel FCM improved by particle swarm optimization
Lu Wang
Applied Soft Computing (2021) Vol. 114, pp. 108153-108153
Closed Access | Times Cited: 40

Designing a resilient and sustainable multi-feedstock bioethanol supply chain: Integration of mathematical modeling and machine learning
Armin Jabbarzadeh, Meisam Shamsi
Applied Energy (2024) Vol. 377, pp. 123794-123794
Closed Access | Times Cited: 5

Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices
Ziyuan Pu, Meixin Zhu, Wenxiang Li, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 1, pp. 474-486
Closed Access | Times Cited: 49

Moment-based rental prediction for bicycle-sharing transportation systems using a hybrid genetic algorithm and machine learning
Xuehong Gao, Gyu M. Lee
Computers & Industrial Engineering (2018) Vol. 128, pp. 60-69
Closed Access | Times Cited: 48

Modified dynamic fuzzy c-means clustering algorithm – Application in dynamic customer segmentation
M. Sivaguru, M. Punniyamoorthy
Applied Intelligence (2020) Vol. 50, Iss. 6, pp. 1922-1942
Closed Access | Times Cited: 46

A classification-based deep belief networks model framework for daily streamflow forecasting
Haibo Chu, Jiahua Wei, Wenyan Wu, et al.
Journal of Hydrology (2021) Vol. 595, pp. 125967-125967
Closed Access | Times Cited: 32

A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industries
Sunil Kumar Jauhar, Praveen Vijaya Raj Pushpa Raj, Sachin Kamble, et al.
Annals of Operations Research (2022) Vol. 332, Iss. 1-3, pp. 405-431
Closed Access | Times Cited: 25

Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office
Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani
PeerJ Computer Science (2025) Vol. 11, pp. e2672-e2672
Open Access

A mean-maverick game cross-efficiency approach to portfolio selection: An application to Paris stock exchange
Hédi Essid, Janet Ganouati, Stéphane Vigeant
Expert Systems with Applications (2018) Vol. 113, pp. 161-185
Closed Access | Times Cited: 40

A clustering-based approach for prioritizing health, safety and environment risks integrating fuzzy C-means and hybrid decision-making methods
Mahsa Valipour, Samuel Yousefı, Mustafa Jahangoshai Rezaee, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 3, pp. 919-938
Closed Access | Times Cited: 28

Comfort evaluation of ZnO coated fabrics by artificial neural network assisted with golden eagle optimizer model
Nesrine Amor, Muhammad Tayyab Noman, Michal Petrů, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 21

Regeneration of Co-based bead type catalyst in ammonia borane hydrolysis for hydrogen generation: Artificial neural networks and response surface methodology
Bilge Coşkuner Filiz, Beyza Nur Kinsiz, Serpil Kılıç Depren, et al.
Journal of Cleaner Production (2023) Vol. 419, pp. 138297-138297
Closed Access | Times Cited: 11

Novel fuzzy modeling and energy-saving predictive control of coordinated control system in 1000 MW ultra-supercritical unit
Guolian Hou, Linjuan Gong, Congzhi Huang, et al.
ISA Transactions (2018) Vol. 86, pp. 48-61
Closed Access | Times Cited: 34

DEEP LEARNING FOR STOCK MARKET TRADING: A SUPERIOR TRADING STRATEGY?
Dušan Fister, Johnathan Mun, Vita Jagrič, et al.
Neural Network World (2019) Vol. 29, Iss. 3, pp. 151-171
Open Access | Times Cited: 30

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