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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:

Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information
Xiaodong Li, Xiaodi Huang, Xiaotie Deng, et al.
Neurocomputing (2014) Vol. 142, pp. 228-238
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

A systematic review of fundamental and technical analysis of stock market predictions
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 3007-3057
Closed Access | Times Cited: 386
Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong
Xiaodong Li, Pangjing Wu, Wenpeng Wang
Information Processing & Management (2020) Vol. 57, Iss. 5, pp. 102212-102212
Closed Access | Times Cited: 288
Decision support from financial disclosures with deep neural networks and transfer learning
Mathias Kraus, Stefan Feuerriegel
Decision Support Systems (2017) Vol. 104, pp. 38-48
Open Access | Times Cited: 270
Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
Dang Lien Minh, Abolghasem Sadeghi‐Niaraki, Huynh Duc Huy, et al.
IEEE Access (2018) Vol. 6, pp. 55392-55404
Open Access | Times Cited: 236
Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets
Xingyu Zhou, Zhisong Pan, Guyu Hu, et al.
Mathematical Problems in Engineering (2018) Vol. 2018, pp. 1-11
Open Access | Times Cited: 231
Stock market prediction using machine learning classifiers and social media, news
Wasiat Khan, Mustansar Ali Ghazanfar, Muhammad Awais Azam, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 13, Iss. 7, pp. 3433-3456
Closed Access | Times Cited: 230
Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research
Ingrid E. Fisher, Margaret R. Garnsey, Mark E. Hughes
Intelligent Systems in Accounting Finance & Management (2016) Vol. 23, Iss. 3, pp. 157-214
Closed Access | Times Cited: 187
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
Ankit Thakkar, Kinjal Chaudhari
Information Fusion (2020) Vol. 65, pp. 95-107
Open Access | Times Cited: 172
News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review
Matin N. Ashtiani, Bijan Raahemi
Expert Systems with Applications (2023) Vol. 217, pp. 119509-119509
Closed Access | Times Cited: 90
Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective
Qing Li, Yan Chen, Jun Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2017) Vol. 30, Iss. 2, pp. 381-399
Open Access | Times Cited: 107
Combining the wisdom of crowds and technical analysis for financial market prediction using deep random subspace ensembles
Qili Wang, Wei Xu, Han Zheng
Neurocomputing (2018) Vol. 299, pp. 51-61
Closed Access | Times Cited: 83
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, et al.
(2020)
Open Access | Times Cited: 78
Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting
Salvatore Carta, Sergio Consoli, Luca Piras, et al.
IEEE Access (2021) Vol. 9, pp. 30193-30205
Open Access | Times Cited: 62
High-Frequency Trading Strategy Based on Deep Neural Networks
Andrés Arévalo, Jaime Niño, Germán Hernández, et al.
Lecture notes in computer science (2016), pp. 424-436
Closed Access | Times Cited: 83
WHEN MACHINES LEARN TECHNICAL ANALYSIS: AN APPLICATION ON TECHNICAL ANALYSIS WITH MACHINE LEARNING IN BORSA ISTANBUL
Yunus Emre Akdoğan
Trakya Üniversitesi sosyal bilimler dergisi/Trakya Üniversitesi Sosyal Bilimler dergisi (2025) Vol. 27, Iss. IERFM 2025 Özel Sayı, pp. 275-302
Open Access
A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting
Hossein Javedani Sadaei, Rasul Enayatifar, Muhammad Hisyam Lee, et al.
Applied Soft Computing (2015) Vol. 40, pp. 132-149
Closed Access | Times Cited: 63
Combining bag-of-words and sentiment features of annual reports to predict abnormal stock returns
Petr Hájek
Neural Computing and Applications (2017) Vol. 29, Iss. 7, pp. 343-358
Open Access | Times Cited: 58
A Numerical-Based Attention Method for Stock Market Prediction With Dual Information
Guang Liu, Xiaojie Wang
IEEE Access (2018) Vol. 7, pp. 7357-7367
Open Access | Times Cited: 56
Combining ARFIMA models and fuzzy time series for the forecast of long memory time series
Hossein Javedani Sadaei, Rasul Enayatifar, Frederico Gadelha Guimarães, et al.
Neurocomputing (2015) Vol. 175, pp. 782-796
Closed Access | Times Cited: 55
Stock Price Prediction Incorporating Market Style Clustering
Xiaodong Li, Pangjing Wu
Cognitive Computation (2021) Vol. 14, Iss. 1, pp. 149-166
Closed Access | Times Cited: 35
Towards Economic Sustainability: A Comprehensive Review of Artificial Intelligence and Machine Learning Techniques in Improving the Accuracy of Stock Market Movements
Atoosa Rezaei, Iheb Abdellatif, Amjad Umar
International Journal of Financial Studies (2025) Vol. 13, Iss. 1, pp. 28-28
Open Access
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, et al.
Knowledge-Based Systems (2019) Vol. 190, pp. 105236-105236
Closed Access | Times Cited: 33
Stock Prediction via Sentimental Transfer Learning
Xiaodong Li, Haoran Xie, Raymond Y.K. Lau, et al.
IEEE Access (2018) Vol. 6, pp. 73110-73118
Open Access | Times Cited: 32
Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction
Chin‐Teng Lin, Yu–Kai Wang, Pei-Lun Huang, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 17, pp. 14387-14395
Open Access | Times Cited: 16
Integrating technical indicators, chip factors and stock news for enhanced stock price predictions: A multi-kernel approach
Hei‐Chia Wang, Wei-Ching Hsiao, Ru-Siang Liou
Asia Pacific Management Review (2023) Vol. 29, Iss. 3, pp. 292-305
Open Access | Times Cited: 8
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