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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:

A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
Arash Bahrammirzaee
Neural Computing and Applications (2010) Vol. 19, Iss. 8, pp. 1165-1195
Closed Access | Times Cited: 491

Showing 1-25 of 491 citing articles:

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
Ömer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Özbayoğlu
Applied Soft Computing (2020) Vol. 90, pp. 106181-106181
Open Access | Times Cited: 920
On big data, artificial intelligence and smart cities
Zaheer Allam, Zaynah A. Dhunny
Cities (2019) Vol. 89, pp. 80-91
Closed Access | Times Cited: 886
Bio inspired computing – A review of algorithms and scope of applications
Arpan Kumar Kar
Expert Systems with Applications (2016) Vol. 59, pp. 20-32
Closed Access | Times Cited: 501
Artificial intelligence: a survey on evolution, models, applications and future trends
Yang Lu
Journal of Management Analytics (2019) Vol. 6, Iss. 1, pp. 1-29
Closed Access | Times Cited: 467
Deep learning for financial applications : A survey
Ahmet Murat Özbayoğlu, Mehmet Ugur Gudelek, Ömer Berat Sezer
Applied Soft Computing (2020) Vol. 93, pp. 106384-106384
Open Access | Times Cited: 370
Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches
Jie Sun, Hui Li, Qinghua Huang, et al.
Knowledge-Based Systems (2013) Vol. 57, pp. 41-56
Closed Access | Times Cited: 337
Performance evaluation of different machine learning techniques for prediction of heart disease
Ashok Kumar Dwivedi
Neural Computing and Applications (2016) Vol. 29, Iss. 10, pp. 685-693
Closed Access | Times Cited: 318
Stock market movement forecast: A Systematic review
Oscar H. Bustos, Alexandra Pomares Quimbaya
Expert Systems with Applications (2020) Vol. 156, pp. 113464-113464
Closed Access | Times Cited: 276
Artificial intelligence and machine learning in finance: A bibliometric review
Shamima Ahmed, Muneer M. Alshater, Anis El Ammari, et al.
Research in International Business and Finance (2022) Vol. 61, pp. 101646-101646
Closed Access | Times Cited: 239
Credit Risk Analysis Using Machine and Deep Learning Models
Peter Martey Addo, Dominique Guégan, Bertrand K. Hassani
Risks (2018) Vol. 6, Iss. 2, pp. 38-38
Open Access | Times Cited: 222
Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance
Florian Königstorfer, Stefan Thalmann
Journal of Behavioral and Experimental Finance (2020) Vol. 27, pp. 100352-100352
Closed Access | Times Cited: 187
A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis
Werner Kristjanpoller, Marcel C. Minutolo
Expert Systems with Applications (2018) Vol. 109, pp. 1-11
Closed Access | Times Cited: 185
Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review
Yong Hu, Kang Liu, Xiangzhou Zhang, et al.
Applied Soft Computing (2015) Vol. 36, pp. 534-551
Closed Access | Times Cited: 178
Linking AI quality performance and customer engagement: The moderating effect of AI preference
Catherine Prentice, Scott Weaven, IpKin Anthony Wong
International Journal of Hospitality Management (2020) Vol. 90, pp. 102629-102629
Closed Access | Times Cited: 171
Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward
Samuele Lo Piano
Humanities and Social Sciences Communications (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 170
Financial time series prediction using a dendritic neuron model
Tianle Zhou, Shangce Gao, Jiahai Wang, et al.
Knowledge-Based Systems (2016) Vol. 105, pp. 214-224
Closed Access | Times Cited: 169
AI in Finance: Challenges, Techniques, and Opportunities
Longbing Cao
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-38
Closed Access | Times Cited: 156
Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators
Deniz Can Yıldırım, İsmail Hakkı Toroslu, Ugo Fiore
Financial Innovation (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 140
When artificial intelligence meets the hospitality and tourism industry: an assessment framework to inform theory and management
Arthur Huang, Ying Chao, Efrén de la Mora Velasco, et al.
Journal of Hospitality and Tourism Insights (2021) Vol. 5, Iss. 5, pp. 1080-1100
Closed Access | Times Cited: 137
Edge Intelligence: Empowering Intelligence to the Edge of Network
Dianlei Xu, Tong Li, Yong Li, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 11, pp. 1778-1837
Open Access | Times Cited: 134
Artificial intelligence techniques in finance and financial markets: A survey of the literature
Carlo Milana, Arvind Ashta
Strategic Change (2021) Vol. 30, Iss. 3, pp. 189-209
Closed Access | Times Cited: 133
Harnessing artificial intelligence for the next generation of 3D printed medicines
Moe Elbadawi, Laura E. McCoubrey, Francesca K. H. Gavins, et al.
Advanced Drug Delivery Reviews (2021) Vol. 175, pp. 113805-113805
Open Access | Times Cited: 124
Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 100
Transformer-based attention network for stock movement prediction
Qiuyue Zhang, Chao Qin, Yunfeng Zhang, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117239-117239
Closed Access | Times Cited: 96
Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology
Duc Khuong Nguyen, Georgios Sermpinis, Charalampos Stasinakis
European Financial Management (2022) Vol. 29, Iss. 2, pp. 517-548
Open Access | Times Cited: 71
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