Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Stock Market Trend Prediction Using High-Order Information of Time Series
Min Wen, Ping Li, Lingfei Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 28299-28308
Open Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

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: 316
Deep Learning for Stock Market Prediction
Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, et al.
Entropy (2020) Vol. 22, Iss. 8, pp. 840-840
Open Access | Times Cited: 287
A novel graph convolutional feature based convolutional neural network for stock trend prediction
Wei Chen, Manrui Jiang, Wei-Guo Zhang, et al.
Information Sciences (2020) Vol. 556, pp. 67-94
Closed Access | Times Cited: 222
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: 171
State of health estimation and remaining useful life assessment of lithium-ion batteries: A comparative study
Yassine Toughzaoui, Safieh Bamati, Hicham Chaoui, et al.
Journal of Energy Storage (2022) Vol. 51, pp. 104520-104520
Open Access | Times Cited: 85
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: 89
RETRACTED ARTICLE: Stock market analysis using candlestick regression and market trend prediction (CKRM)
M. Ananthi, K. Vijayakumar
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 5, pp. 4819-4826
Closed Access | Times Cited: 79
Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms
Theyazn H. H. Aldhyani, Ali Alzahrani
Electronics (2022) Vol. 11, Iss. 19, pp. 3149-3149
Open Access | Times Cited: 67
A Survey of Forex and Stock Price Prediction Using Deep Learning
Zexin Hu, Yiqi Zhao, Matloob Khushi
Applied System Innovation (2021) Vol. 4, Iss. 1, pp. 9-9
Open Access | Times Cited: 66
A New Stock Price Forecasting Method Using Active Deep Learning Approach
Khalid Al‐Khatib, Huthaifa Khazaleh, Hamzah Ali Alkhazaleh, et al.
Journal of Open Innovation Technology Market and Complexity (2022) Vol. 8, Iss. 2, pp. 96-96
Open Access | Times Cited: 46
Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks
Yuan Yao, Zhaoyang Zhang, Yang Zhao
Applied Soft Computing (2023) Vol. 142, pp. 110356-110356
Closed Access | Times Cited: 33
A multi-agent reinforcement learning framework for optimizing financial trading strategies based on TimesNet
Yuling Huang, Chujin Zhou, Kai Cui, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121502-121502
Closed Access | Times Cited: 24
A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach
Pham Hoang Vuong, Lam Hung Phu, Tran Hong Van Nguyen, et al.
Science Progress (2024) Vol. 107, Iss. 1
Open Access | Times Cited: 12
Ensemble of temporal Transformers for financial time series
Kenniy Olorunnimbe, Herna L. Viktor
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 4, pp. 1087-1111
Closed Access | Times Cited: 10
Artificial Intelligence in stock broking: A systematic review of strategies and outcomes
Noluthando Zamanjomane Mhlongo, Titilola Falaiye, Andrew Ifesinachi Daraojimba, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 2, pp. 1950-1957
Open Access | Times Cited: 9
Mapping stock market dynamics: A tripartite neural network approach using modified grid search for stock market prediction
Sachin Singh, Mohinder Singh, Shradha Attri
Expert Systems with Applications (2025), pp. 127243-127243
Closed Access | Times Cited: 1
Stock-Price Forecasting Based on XGBoost and LSTM
Pham Hoang Vuong, Tan Dat Trinh, Tieu Khoi, et al.
Computer Systems Science and Engineering (2021) Vol. 40, Iss. 1, pp. 237-246
Open Access | Times Cited: 56
Stock Price Forecast Based on CNN-BiLSTM-ECA Model
Yu Chen, Ruixin Fang, Ting Liang, et al.
Scientific Programming (2021) Vol. 2021, pp. 1-20
Open Access | Times Cited: 55
A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM
Haiyao Wang, Jianxuan Wang, Lihui Cao, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 49
Big Data in Forecasting Research: A Literature Review
Ling Tang, Jieyi Li, Hongchuan Du, et al.
Big Data Research (2021) Vol. 27, pp. 100289-100289
Closed Access | Times Cited: 49
Food security prediction from heterogeneous data combining machine and deep learning methods
Hugo Deléglise, Roberto Interdonato, Agnès Bégué, et al.
Expert Systems with Applications (2021) Vol. 190, pp. 116189-116189
Open Access | Times Cited: 47
Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models
Donghwan Song, Adrian Matias Chung Baek, Namhun Kim
IEEE Access (2021) Vol. 9, pp. 83786-83796
Open Access | Times Cited: 45
Machine learning models predicting returns: Why most popular performance metrics are misleading and proposal for an efficient metric
Jean Dessain
Expert Systems with Applications (2022) Vol. 199, pp. 116970-116970
Open Access | Times Cited: 37
Applications of high-frequency data in finance: A bibliometric literature review
Syed Mujahid Hussain, Nisar Ahmad, Sheraz Ahmed
International Review of Financial Analysis (2023) Vol. 89, pp. 102790-102790
Open Access | Times Cited: 20
Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches
Giulia Serafini, Ping Yi, Qingquan Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 46
Page 1 - Next Page

Scroll to top