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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:

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

Showing 1-25 of 288 citing articles:

Transformer-based attention network for stock movement prediction
Qiuyue Zhang, Chao Qin, Yunfeng Zhang, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117239-117239
Closed Access | Times Cited: 95
Multi-source aggregated classification for stock price movement prediction
Yu Ma, Rui Mao, Qika Lin, et al.
Information Fusion (2022) Vol. 91, pp. 515-528
Open Access | Times Cited: 78
Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review
Audeliano W. Li, Guilherme Sousa Bastos
IEEE Access (2020) Vol. 8, pp. 185232-185242
Open Access | Times Cited: 117
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 text-mining applications in finance
Aaryan Gupta, Vinya Dengre, Hamza Abubakar Kheruwala, et al.
Financial Innovation (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 109
Technical analysis strategy optimization using a machine learning approach in stock market indices
Jordan Ayala, Miguel García-Torres, José Luis Vázquez Noguera, et al.
Knowledge-Based Systems (2021) Vol. 225, pp. 107119-107119
Closed Access | Times Cited: 100
On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis
Jonnathan Carvalho, Alexandre Plastino
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 1887-1936
Closed Access | Times Cited: 82
A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon: a Case Study in Financial Distress Prediction
Shixuan Li, Wenxuan Shi, Jiancheng Wang, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102673-102673
Closed Access | Times Cited: 77
A Survey on Concept-Level Sentiment Analysis Techniques of Textual Data
Samira Zad, Maryam Heidari, James H. Jones, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2021), pp. 0285-0291
Closed Access | Times Cited: 63
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, et al.
Knowledge-Based Systems (2022) Vol. 247, pp. 108742-108742
Closed Access | Times Cited: 57
Natural language processing in law: Prediction of outcomes in the higher courts of Turkey
Emre Mumcuoğlu, Ceyhun E. Öztürk, Haldun M. Özaktaş, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102684-102684
Closed Access | Times Cited: 56
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
Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis
Ajithakumari Vijayappan Nair Biju, Ann Susan Thomas, J Thasneem
Quality & Quantity (2023) Vol. 58, Iss. 1, pp. 849-878
Open Access | Times Cited: 39
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
Leveraging hierarchical language models for aspect-based sentiment analysis on financial data
Matteo Lengkeek, F. van der Knaap, Flavius Frăsincar
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103435-103435
Open Access | Times Cited: 23
Quantitative stock portfolio optimization by multi-task learning risk and return
Yu Ma, Rui Mao, Qika Lin, et al.
Information Fusion (2023) Vol. 104, pp. 102165-102165
Closed Access | Times Cited: 22
LexiSNTAGMM: an unsupervised framework for sentiment classification in data from distinct domains, synergistically integrating dictionary-based and machine learning approaches
Hadis Bashiri, Hassan Naderi
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 9
A Labeling Method for Financial Time Series Prediction Based on Trends
Dingming Wu, Xiaolong Wang, Jingyong Su, et al.
Entropy (2020) Vol. 22, Iss. 10, pp. 1162-1162
Open Access | Times Cited: 56
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
User-Defined SWOT analysis – A change mining perspective on user-generated content
Li‐Chen Cheng, Kuanchin Chen, Ming-Chu Lee, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102613-102613
Closed Access | Times Cited: 45
Multi-source information fusion to identify water supply pipe leakage based on SVM and VMD
Zhoufeng Wang, Xiangqi He, Huiling Shen, et al.
Information Processing & Management (2021) Vol. 59, Iss. 2, pp. 102819-102819
Closed Access | Times Cited: 41
A Lexicon Enhanced Collaborative Network for targeted financial sentiment analysis
Lili Shang, Hao Xi, Jiaojiao Hua, et al.
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103187-103187
Closed Access | Times Cited: 30
A hierarchical attention network for stock prediction based on attentive multi-view news learning
Xingtong Chen, Xiang Ma, Hua Wang, et al.
Neurocomputing (2022) Vol. 504, pp. 1-15
Closed Access | Times Cited: 27
A stock rank prediction method combining industry attributes and price data of stocks
Huajin Liu, Tianlong Zhao, Suwei Wang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103358-103358
Closed Access | Times Cited: 18
LSTM based stock prediction using weighted and categorized financial news
Shazia Usmani, Jawwad Ahmed Shamsi
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282234-e0282234
Open Access | Times Cited: 17
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