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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:

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

Showing 1-25 of 58 citing articles:

Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining
Petr Hájek, Aliaksandr Barushka, Michal Munk
Neural Computing and Applications (2020) Vol. 32, Iss. 23, pp. 17259-17274
Closed Access | Times Cited: 151
Artificial Intelligence in Accounting and Finance: Challenges and Opportunities
Ziwei Yi, Xinwei Cao, Zuyan Chen, et al.
IEEE Access (2023) Vol. 11, pp. 129100-129123
Open Access | Times Cited: 26
Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis
Junyi Chen, Shankai Yan, Ka‐Chun Wong
Neural Computing and Applications (2018) Vol. 32, Iss. 15, pp. 10809-10818
Closed Access | Times Cited: 77
An effective Decision Support System for social media listening based on cross-source sentiment analysis models
Pietro Ducange, Michela Fazzolari, Marinella Petrocchi, et al.
Engineering Applications of Artificial Intelligence (2018) Vol. 78, pp. 71-85
Open Access | Times Cited: 72
Analyzing the Brazilian Financial Market through Portuguese Sentiment Analysis in Social Media
A. E. O. Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva
Applied Artificial Intelligence (2019) Vol. 34, Iss. 1, pp. 1-19
Closed Access | Times Cited: 64
Investment strategies applied to the Brazilian stock market: A methodology based on Sentiment Analysis with deep learning
Arthur Emanuel de Oliveira Carosia, Guilherme Palermo Coelho, Ana Estela Antunes da Silva
Expert Systems with Applications (2021) Vol. 184, pp. 115470-115470
Closed Access | Times Cited: 53
Systematic Review of Financial Distress Identification using Artificial Intelligence Methods
Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 31
Predicting M&A targets using news sentiment and topic detection
Petr Hájek, Roberto Henriques
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123270-123270
Open Access | Times Cited: 6
A survey on uncertainty quantification in deep learning for financial time series prediction
Txus Blasco, J. Salvador Sánchez, Vicente García
Neurocomputing (2024), pp. 127339-127339
Open Access | Times Cited: 5
Predicting the Brazilian Stock Market with Sentiment Analysis, Technical Indicators and Stock Prices: A Deep Learning Approach
Arthur Emanuel de Oliveira Carosia, Ana Estela Antunes da Silva, Guilherme Palermo Coelho
Computational Economics (2024)
Closed Access | Times Cited: 5
Corporate financial distress prediction using the risk-related information content of annual reports
Petr Hájek, Michal Munk
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103820-103820
Closed Access | Times Cited: 5
Evaluating the Current and Future of Corporation and Hotel Industry Performance by Analyzing CEO Messages Using the SBSC Framework Assessment
Hyeon Hui Kang, Fan Meng, Hyung Jong Na
Sustainability (2025) Vol. 17, Iss. 5, pp. 2109-2109
Open Access
A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis
Xieling Chen, Haoran Xie, Gary Cheng, et al.
Cognitive Computation (2021) Vol. 14, Iss. 1, pp. 24-47
Closed Access | Times Cited: 31
Unmasking deception: a CNN and adaptive PSO approach to detecting fake online reviews
N. Deshai, B. Bhaskara Rao
Soft Computing (2023) Vol. 27, Iss. 16, pp. 11357-11378
Open Access | Times Cited: 11
Sustainability and Corporate Social Responsibility in the Text of Annual Reports—The Case of the IT Services Industry
Renáta Myšková, Petr Hájek
Sustainability (2018) Vol. 10, Iss. 11, pp. 4119-4119
Open Access | Times Cited: 31
MINING RISK-RELATED SENTIMENT IN CORPORATE ANNUAL REPORTS AND ITS EFFECT ON FINANCIAL PERFORMANCE
Renáta Myšková, Petr Hájek
Technological and Economic Development of Economy (2020) Vol. 26, Iss. 6, pp. 1422-1443
Open Access | Times Cited: 26
The Effect of ESG News on the Chinese Stock Market
Xiaoqing Eleanor Xu, Yan Chen, Jingmei Zhao, et al.
Journal of Global Information Management (2022) Vol. 30, Iss. 1, pp. 1-21
Open Access | Times Cited: 15
Mixed-methods research in the age of analytics, an exemplar leveraging sentiments from news articles to predict firm performance
Raji Raman, Ruba Aljafari, Viswanath Venkatesh, et al.
International Journal of Information Management (2022) Vol. 64, pp. 102451-102451
Open Access | Times Cited: 13
Trading Stocks Based on Financial News Using Attention Mechanism
Saurabh Kamal, Sahil Sharma, Vijay Kumar, et al.
Mathematics (2022) Vol. 10, Iss. 12, pp. 2001-2001
Open Access | Times Cited: 12
CRITICAL REVIEW OF TEXT MINING AND SENTIMENT ANALYSIS FOR STOCK MARKET PREDICTION
Zuzana Janková
Journal of Business Economics and Management (2023) Vol. 24, Iss. 1, pp. 177-198
Open Access | Times Cited: 7
Pengaruh Moving Average dan Transaction Volume pada Return Saham Perbankan Indonesia
Valdi Sayoga Majiah, Said kelana
Jurnal Manajemen (2024) Vol. 13, Iss. 1, pp. 1-15
Open Access | Times Cited: 2
Textual Analysis and Sentiment Analysis in Accounting
Juan Luis Gandía Cabedo, David Huguet
Revista de Contabilidad (2021) Vol. 24, Iss. 2, pp. 168-183
Open Access | Times Cited: 17
Predicting abnormal trading behavior from internet rumor propagation: a machine learning approach
Li‐Chen Cheng, Wei-Ting Lu, Benjamin Yeo
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 6
Exploring the sentimental features of rumor messages and investors' intentions to invest
Ahmed Ibrahim Alzahrani, Samer Muthana Sarsam, Hosam Al‐Samarraie, et al.
International Review of Economics & Finance (2023) Vol. 87, pp. 433-444
Open Access | Times Cited: 6
A critical genre analysis of MD&A discourse in corporate annual reports
Yubin Qian
Discourse & Communication (2020) Vol. 14, Iss. 4, pp. 424-437
Closed Access | Times Cited: 15
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