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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 hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
Jing Nan, Zhao Wu, Hefei Wang
Expert Systems with Applications (2021) Vol. 178, pp. 115019-115019
Closed Access | Times Cited: 230

Showing 1-25 of 230 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: 301
Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks
Alireza Ghorbanali, Mohammad Karim Sohrabi, Farzin Yaghmaee
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102929-102929
Closed Access | Times Cited: 69
Forecasting price in a new hybrid neural network model with machine learning
Rui Zhu, Guang-Yan Zhong, Jiang-Cheng Li
Expert Systems with Applications (2024) Vol. 249, pp. 123697-123697
Closed Access | Times Cited: 19
Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework
Hyun Jun Park, Youngjun Kim, Ha Young Kim
Applied Soft Computing (2021) Vol. 114, pp. 108106-108106
Closed Access | Times Cited: 96
A comprehensive review on multiple hybrid deep learning approaches for stock prediction
Jaimin Shah, Darsh Vaidya, Manan Shah
Intelligent Systems with Applications (2022) Vol. 16, pp. 200111-200111
Open Access | Times Cited: 66
Fine-grained, aspect-based sentiment analysis on economic and financial lexicon
Sergio Consoli, Luca Barbaglia, Sebastiano Manzan
Knowledge-Based Systems (2022) Vol. 247, pp. 108781-108781
Open Access | Times Cited: 55
Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment
Zhifeng Dai, Junxin Zhu, Xinhua Zhang
Energy Economics (2022) Vol. 114, pp. 106226-106226
Closed Access | Times Cited: 53
Effects of investor sentiment on stock volatility: new evidences from multi-source data in China’s green stock markets
Yang Gao, Chengjie Zhao, Bianxia Sun, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 49
Stock Market Analysis and Prediction for Nifty50 using LSTM Deep Learning Approach
Pushpendra Singh Sisodia, Anish Gupta, Yogesh Kumar, et al.
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (2022), pp. 156-161
Closed Access | Times Cited: 43
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: 29
COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic
Chenxun Yuan, Xiang Ma, Hua Wang, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119549-119549
Open Access | Times Cited: 26
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
Dimple Tiwari, Bharti Nagpal, Bhoopesh Singh Bhati, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13407-13461
Open Access | Times Cited: 22
Explainable deep learning model for stock price forecasting using textual analysis
Mohammad Abdullah, Zunaidah Sulong, Mohammad Ashraful Ferdous Chowdhury
Expert Systems with Applications (2024) Vol. 249, pp. 123740-123740
Closed Access | Times Cited: 14
Enhancing Low-Resource Sentiment Analysis: A Transfer Learning Approach
Fatemeh Daneshfar
passer (2024) Vol. 6, Iss. 2, pp. 265-274
Open Access | Times Cited: 10
An approach of multi-criteria group decision making with incomplete information based on formal concept analysis and rough set
Sirong Tong, Bingzhen Sun, Lei Zhang, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123364-123364
Closed Access | Times Cited: 8
A deep learning approach in predicting products’ sentiment ratings: a comparative analysis
Vimala Balakrishnan, Zhongliang Shi, Chuan Liang Law, et al.
The Journal of Supercomputing (2021) Vol. 78, Iss. 5, pp. 7206-7226
Open Access | Times Cited: 52
A Hybrid Stock Price Prediction Model Based on PRE and Deep Neural Network
Srivinay Srivinay, B. C. Manujakshi, Mohan G. Kabadi, et al.
Data (2022) Vol. 7, Iss. 5, pp. 51-51
Open Access | Times Cited: 37
A sentiment-enhanced hybrid model for crude oil price forecasting
Yan Fang, Wenyan Wang, Pengcheng Wu, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119329-119329
Closed Access | Times Cited: 35
Prediction of SSE Shanghai Enterprises index based on bidirectional LSTM model of air pollutants
Bingchun Liu, Zhecheng Yu, Qingshan Wang, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117600-117600
Closed Access | Times Cited: 28
Stock price predictive analysis: An application of hybrid Barnacles Mating Optimizer with Artificial Neural Network
Zuriani Mustaffa, Mohd Herwan Sulaiman
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 109-117
Open Access | Times Cited: 20
Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators
Agus Tri Haryono, Riyanarto Sarno, Kelly Rossa Sungkono
IEEE Access (2023) Vol. 11, pp. 77132-77146
Open Access | Times Cited: 20
Investigating Deep Stock Market Forecasting with Sentiment Analysis
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Entropy (2023) Vol. 25, Iss. 2, pp. 219-219
Open Access | Times Cited: 17
Stock market forecasting based on machine learning: The role of investor sentiment
Tingting Ren, Shaofang Li
Physica A Statistical Mechanics and its Applications (2025), pp. 130533-130533
Closed Access
A Deep Learning Based Time Series Analysis and Forecasting Using Hybrid Model
P. Subhash Singh, G. Saiteja, Manowar Hussain, et al.
Learning and analytics in intelligent systems (2025), pp. 466-475
Closed Access
Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis
Ying-Lei Lin, Chi-Ju Lai, Ping‐Feng Pai
Electronics (2022) Vol. 11, Iss. 21, pp. 3513-3513
Open Access | Times Cited: 22
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