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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:

Financial Sentiment Analysis: Techniques and Applications
Kelvin Du, Frank Xing, Rui Mao, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-42
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

StockAICloud: AI-based sustainable and scalable stock price prediction framework using serverless cloud computing
Han Wang, Vidhyaa Shree Rajakumar, Muhammed Golec, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access | Times Cited: 2
A comprehensive review on financial explainable AI
Wei Jie Yeo, Wihan van der Heever, Rui Mao, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access | Times Cited: 2
Designing Heterogeneous LLM Agents for Financial Sentiment Analysis
Frank Xing
ACM Transactions on Management Information Systems (2024)
Open Access | Times Cited: 15
Comprehensive review and comparative analysis of transformer models in sentiment analysis
Hadis Bashiri, Hassan Naderi
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 9
Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis
Ali Peivandizadeh, Sima Hatami, Amirhossein Nakhjavani, et al.
IEEE Access (2024) Vol. 12, pp. 87110-87130
Open Access | Times Cited: 6
An Evaluation of Reasoning Capabilities of Large Language Models in Financial Sentiment Analysis
Kelvin Du, Frank Xing, Rui Mao, et al.
(2024), pp. 189-194
Closed Access | Times Cited: 6
Deep Learning in Finance: A Survey of Applications and Techniques
Ebikella Mienye, Nobert Jere, George Obaido, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2066-2091
Open Access | Times Cited: 5
Sentiment works in small-cap stocks: Japanese stock’s sentiment with language models
Masahiro Suzuki, Yasushi Ishikawa, Masayuki Teraguchi, et al.
International Journal of Information Management Data Insights (2025) Vol. 5, Iss. 1, pp. 100318-100318
Closed Access
Natural Language Processing in Finance
Rajkumar S. Jagdale, Manish Deshmukh
Advances in finance, accounting, and economics book series (2025), pp. 411-434
Closed Access
BSGM: Psychological State Analysis Method Based on Deep Learning and Stock Market Dynamic Data Augmentation
Chaoxing Tang, Chang Liu, Xiao Sun
Lecture notes in computer science (2025), pp. 315-327
Closed Access
A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges
Qiang He, S.-Y. Zhang, Yuliang Cai, et al.
ACM Computing Surveys (2025)
Closed Access
ADCL: An attention feature enhancement network based on adversarial contrastive learning for short text classification
S.-C. Su, Dangguo Shao, Lei Ma, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103202-103202
Closed Access
Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features
Yongyong Sun, He Yuan, Fei Xu
Natural Language Processing Journal (2025) Vol. 11, pp. 100148-100148
Open Access
Financial Sentiment Analysis and Classification: A Comparative Study of Fine-Tuned Deep Learning Models
Dimitrios Κ. Nasiopoulos, Konstantinos I. Roumeliotis, Δαμιανός Π. Σακάς, et al.
International Journal of Financial Studies (2025) Vol. 13, Iss. 2, pp. 75-75
Open Access
A Hybrid Neural Network Model for Sentiment Analysis of Financial Texts Using Topic Extraction, Pre-Trained Model, and Enhanced Attention Mechanism Methods
Ganglong Duan, Shunfei Yan, Meng Zhang
IEEE Access (2024) Vol. 12, pp. 98207-98224
Open Access | Times Cited: 3
Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks
Luca Bacco, Lorenzo Petrosino, Domenico Arganese, et al.
IEEE Access (2024) Vol. 12, pp. 122239-122248
Open Access | Times Cited: 3
A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction
Kelvin Du, Rui Mao, Frank Xing, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 3
A survey on pragmatic processing techniques
Rui Mao, Mengshi Ge, Sooji Han, et al.
Information Fusion (2024), pp. 102712-102712
Closed Access | Times Cited: 3
Explainable Stock Price Movement Prediction using Contrastive Learning
Kelvin Du, Rui Mao, Frank Xing, et al.
(2024), pp. 529-537
Closed Access | Times Cited: 3
Improving Event-Level Financial Sentiment Analysis with Retrieval-Augmented Multipath Chain-of-Thought Prompting
Yiming Zhang, Xiang Ao, Guoxin Yu, et al.
Communications in computer and information science (2025), pp. 232-246
Closed Access
Artificial Intelligence in Web Development: Enhancing Automation, Personalization, and Decision-Making
Nitesh Upadhyaya
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 534-540
Open Access | Times Cited: 2
Social Media Sentiment Analysis
Joyce Y. M. Nip, Benoit Berthelier
Encyclopedia (2024) Vol. 4, Iss. 4, pp. 1590-1598
Open Access | Times Cited: 2
Natural language processing in finance: A survey
Kelvin Du, Yuanyuan Zhao, Rui Mao, et al.
Information Fusion (2024), pp. 102755-102755
Closed Access | Times Cited: 2
TCMT: Target-oriented Cross Modal Transformer for multimodal aspect-based sentiment analysis
Wang Zou, Xia Sun, Wenhuan Wu, et al.
Expert Systems with Applications (2024), pp. 125818-125818
Closed Access | Times Cited: 2
Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study
Chenghao Liu, Arunkumar Arulappan, Ranesh Kumar Naha, et al.
IEEE Access (2024) Vol. 12, pp. 134041-134061
Open Access | Times Cited: 1
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