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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:

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

Showing 1-25 of 236 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: 912
A Survey on Internet of Things and Cloud Computing for Healthcare
L. Minh Dang, Md. Jalil Piran, Dongil Han, et al.
Electronics (2019) Vol. 8, Iss. 7, pp. 768-768
Open Access | Times Cited: 545
Applications of deep learning in stock market prediction: Recent progress
Weiwei Jiang
Expert Systems with Applications (2021) Vol. 184, pp. 115537-115537
Open Access | Times Cited: 472
Explainable artificial intelligence: a comprehensive review
Dang Lien Minh, Hanxiang Wang, Yanfen Li, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 5, pp. 3503-3568
Closed Access | Times Cited: 419
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
Stock price prediction based on deep neural networks
Pengfei Yu, Xuesong Yan
Neural Computing and Applications (2019) Vol. 32, Iss. 6, pp. 1609-1628
Closed Access | Times Cited: 308
Machine learning techniques and data for stock market forecasting: A literature review
Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116659-116659
Open Access | Times Cited: 301
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
Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review
Nirmal Varghese Babu, E. Grace Mary Kanaga
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 178
Deep learning in finance and banking: A literature review and classification
Huang Jian, Junyi Chai, Stella Cho
Frontiers of Business Research in China (2020) Vol. 14, Iss. 1
Open Access | Times Cited: 176
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM
Yongan Zhang, Binbin Yan, Aasma Memon
Expert Systems with Applications (2020) Vol. 159, pp. 113609-113609
Closed Access | Times Cited: 169
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
Water Quality Prediction for Smart Aquaculture Using Hybrid Deep Learning Models
K. P. Rasheed Abdul Haq, V. P. Harigovindan
IEEE Access (2022) Vol. 10, pp. 60078-60098
Open Access | Times Cited: 89
Stock Prediction by Integrating Sentiment Scores of Financial News and MLP-Regressor: A Machine Learning Approach
Junaid Maqbool, Preeti Aggarwal, Ravreet Kaur, et al.
Procedia Computer Science (2023) Vol. 218, pp. 1067-1078
Open Access | Times Cited: 44
Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory
Junkyu Jang, Nohyoon Seong
Expert Systems with Applications (2023) Vol. 218, pp. 119556-119556
Closed Access | Times Cited: 43
Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
Saeed Nosratabadi, Amirhosein Mosavi, Puhong Duan, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1799-1799
Open Access | Times Cited: 118
Stock Price Forecasting with Deep Learning: A Comparative Study
Tej Bahadur Shahi, Ashish Shrestha, Arjun Neupane, et al.
Mathematics (2020) Vol. 8, Iss. 9, pp. 1441-1441
Open Access | Times Cited: 112
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amirhosein Mosavi, Yaser Faghan, Pedram Ghamisi, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1640-1640
Open Access | Times Cited: 106
Evolutionary Deep Learning-Based Energy Consumption Prediction for Buildings
Abdulaziz Almalaq, Jun Jason Zhang
IEEE Access (2018) Vol. 7, pp. 1520-1531
Open Access | Times Cited: 105
S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis
Shengting Wu, Yuling Liu, Ziran Zou, et al.
Connection Science (2021) Vol. 34, Iss. 1, pp. 44-62
Open Access | Times Cited: 101
Analysis of look back period for stock price prediction with RNN variants: A case study on banking sector of NEPSE
Arjun Singh Saud, Subarna Shakya
Procedia Computer Science (2020) Vol. 167, pp. 788-798
Open Access | Times Cited: 86
Stock market prediction using deep learning algorithms
Somenath Mukherjee, Bikash Sadhukhan, Nairita Sarkar, et al.
CAAI Transactions on Intelligence Technology (2021) Vol. 8, Iss. 1, pp. 82-94
Open Access | Times Cited: 85
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
Zhuorui Zhang, Hong‐Ning Dai, Junhao Zhou, et al.
Expert Systems with Applications (2021) Vol. 183, pp. 115378-115378
Open Access | Times Cited: 84
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane
Pei-Yi Hao, Chien-Feng Kung, Chun-Yang Chang, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106806-106806
Closed Access | Times Cited: 79
Sentiment Analysis Using Gated Recurrent Neural Networks
Sharat Sachin, Abha Tripathi, Navya Mahajan, et al.
SN Computer Science (2020) Vol. 1, Iss. 2
Open Access | Times Cited: 76
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