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:

An efficient real-time stock prediction exploiting incremental learning and deep learning
Tinku Singh, Riya Kaur Kalra, Suryanshi Mishra, et al.
Evolving Systems (2022) Vol. 14, Iss. 6, pp. 919-937
Open Access | Times Cited: 24

Showing 24 citing articles:

Deep Learning in Stock Market Forecasting: Comparative Analysis of Neural Network Architectures Across NSE and NYSE
Bishnu Padh Ghosh, Mohammad Shafiquzzaman Bhuiyan, Debashish Das, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 1, pp. 68-75
Open Access | Times Cited: 22

Deep Learning Models for Stock Market Forecasting: A Comprehensive Comparative Analysis
Md Salim Chowdhury, Norun Nabi, Md Nasir Uddin Rana, et al.
Journal of Business and Management Studies (2024) Vol. 6, Iss. 2, pp. 95-99
Open Access | Times Cited: 11

A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis
Bilal Hassan Ahmed Khattak, Imran Shafi, Abdul Saboor Khan, et al.
IEEE Access (2023) Vol. 11, pp. 125359-125380
Open Access | Times Cited: 16

Multi-view prototype balance and temporary proxy constraint for exemplar-free class-incremental learning
Heng Tian, Qian Zhang, Zhe Wang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access

A Comprehensive Survey on Big Data Analytics: Characteristics, Tools and Techniques
Mohammad Shahnawaz, Manish Kumar
ACM Computing Surveys (2025) Vol. 57, Iss. 8, pp. 1-33
Closed Access

Adaptive data augmentation for salient sentence identification in Indian judicial decisions
Reshma Sheik, Kerry Nair, Sri Krishna, et al.
Evolving Systems (2025) Vol. 16, Iss. 2
Closed Access

A Comparative Analysis of Liquid Neural Networks and Incremental Learning Approaches for Stock Market Prediction
Hussein Jammal, Farah Srour, Salman Ali, et al.
(2025), pp. 1-6
Closed Access

Real-Time Stock Forecasting: Leveraging Live Data and Advanced Algorithms for Accurate Predictions
C M Wankhade and A.P.Vaidya, Gulrukh Nazneen, Nidhi Singh, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1855-1862
Open Access | Times Cited: 2

Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction
Sneha S. Bagalkot, Dinesha H. A, Nagaraj Naik
PeerJ Computer Science (2024) Vol. 10, pp. e1735-e1735
Open Access | Times Cited: 1

A Predictive Model of the Stock Market Using the LSTM Algorithm with a Combination of Exponential Moving Average (EMA) and Relative Strength Index (RSI) Indicators
Rahul Maruti Dhokane, Sohit Agarwal
Journal of The Institution of Engineers (India) Series B (2024)
Closed Access | Times Cited: 1

Comparison of stock price prediction models for linear models, random forest and LSTM
Z.-Q. Jonh Lu
Applied and Computational Engineering (2024) Vol. 54, Iss. 1, pp. 226-233
Closed Access | Times Cited: 1

Enhancing Trading Strategies: A Multi-indicator Analysis for Profitable Algorithmic Trading
Narongsak Sukma, Chakkrit Snae Namahoot
Computational Economics (2024)
Closed Access | Times Cited: 1

A novel bifold-attention-LSTM for analyzing PM2.5 concentration-based multi-station data time series
Andri Pranolo, Xiaofeng Zhou, Yingchi Mao
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 1

Stock Price Prediction Using Sentiment Analysis
Shivani Purwar, Shweta Verma, Smriti Srivastava, et al.
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 1, pp. 1301-1305
Open Access

Data stream classification in dynamic feature space using feature mapping
R. Sajedi, Mohammadreza Razzazi
The Journal of Supercomputing (2024) Vol. 80, Iss. 9, pp. 12043-12061
Closed Access

Water Quality Monitoring on Streaming Data
Bhawnesh Kumar, Tinku Singh, Anuj Kumar, et al.
Deleted Journal (2024) Vol. 3, Iss. 2, pp. 98-113
Open Access

An efficient hybrid approach for forecasting real-time stock market indices
Riya Kaur Kalra, Tinku Singh, Suryanshi Mishra, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102180-102180
Open Access

A Prediction of Stock Time Series Data Using Single Layer Long Short-Term Memory
Ramy Riad Al–Fatlawy, Jayapal Lande, Shreyas Sundaram, et al.
(2024), pp. 1-4
Closed Access

Trade value prediction using hybrid graph convolutional recurrent neural network with lion optimization model
Jawaher Binsuwadan, Y. Mohamed, Hiyam Abdulrahim, et al.
Thermal Science (2024) Vol. 28, Iss. 6 Part B, pp. 5019-5028
Open Access

Stock Closing Price Prediction of Indian Tech Companies using Deep Neural Networks
Divyansh Divyansh, Abdullah Moonis, Animesh Raghav, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

Enhancing the chimp optimization algorithm to evolve deep LSTMs for accounting profit prediction using adaptive pair reinforced technique
Chengchen Yang, Tong Wu, Lingzhuo Zeng
Evolving Systems (2023) Vol. 15, Iss. 4, pp. 1159-1178
Open Access | Times Cited: 1

An improved technique for stock price prediction on real-time exploiting stream processing and deep learning
Kailash Chandra Bandhu, Ratnesh Litoriya, Anshita Jain, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57269-57289
Closed Access | Times Cited: 1

Stock Closing Price Prediction Using Deep Learning, TensorFlow, and Keras
S. Kavitha, S Apoorna, K. Sowmya
(2023), pp. 1-6
Closed Access | Times Cited: 1

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