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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:

Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, et al.
IEEE Access (2020) Vol. 8, pp. 150199-150212
Open Access | Times Cited: 337

Showing 1-25 of 337 citing articles:

Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Expert Systems with Applications (2021) Vol. 186, pp. 115716-115716
Closed Access | Times Cited: 198
Differential Privacy for Deep and Federated Learning: A Survey
Ahmed El Ouadrhiri, Ahmed Abdelhadi
IEEE Access (2022) Vol. 10, pp. 22359-22380
Open Access | Times Cited: 177
The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction
Parshv Chhajer, Manan Shah, Ameya Kshirsagar
Decision Analytics Journal (2021) Vol. 2, pp. 100015-100015
Open Access | Times Cited: 159
Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 100
An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges
Santosh Sahu, Anil Mokhade, Neeraj Dhanraj Bokde
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1956-1956
Open Access | Times Cited: 88
Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications
Gaurang Sonkavde, Deepak Dharrao, Anupkumar M. Bongale, et al.
International Journal of Financial Studies (2023) Vol. 11, Iss. 3, pp. 94-94
Open Access | Times Cited: 67
BIM adoption in sustainability, energy modelling and implementing using ISO 19650: A review
Xingchen Pan, Abdul Mateen Khan, Sayed M. Eldin, et al.
Ain Shams Engineering Journal (2023) Vol. 15, Iss. 1, pp. 102252-102252
Open Access | Times Cited: 49
LSTM based decision support system for swing trading in stock market
Shouvik Banik, Nonita Sharma, Monika Mangla, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107994-107994
Closed Access | Times Cited: 78
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
Ritika Chopra, Gagan Deep Sharma
Journal of risk and financial management (2021) Vol. 14, Iss. 11, pp. 526-526
Open Access | Times Cited: 64
Bim-based energy analysis and optimization using insight 360 (case study)
Ahmed M. Maglad, Moustafa Houda, Raid Alrowais, et al.
Case Studies in Construction Materials (2022) Vol. 18, pp. e01755-e01755
Open Access | Times Cited: 61
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks
Haiping Lin, Amin Gharehbaghi, Qian Zhang, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1655-1672
Open Access | Times Cited: 51
Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning
Paraskevas Koukaras, Christina Nousi, Christos Tjortjis
Telecom (2022) Vol. 3, Iss. 2, pp. 358-378
Open Access | Times Cited: 48
Prediction of sustainable concrete utilizing rice husk ash (RHA) as supplementary cementitious material (SCM): Optimization and hyper-tuning
Muhammad Nasir Amin, Kaffayatullah Khan, Abdullah Mohammad Abu Arab, et al.
Journal of Materials Research and Technology (2023) Vol. 25, pp. 1495-1536
Open Access | Times Cited: 38
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
Clustering for smart cities in the internet of things: a review
Mehdi Hosseinzadeh, Atefeh Hemmati, Amir Masoud Rahmani
Cluster Computing (2022) Vol. 25, Iss. 6, pp. 4097-4127
Closed Access | Times Cited: 37
BIM-based architectural analysis and optimization for construction 4.0 concept (a comparison)
Jie Zhang, Xuping Zhu, Abdul Mateen Khan, et al.
Ain Shams Engineering Journal (2023) Vol. 14, Iss. 6, pp. 102110-102110
Open Access | Times Cited: 32
Predicting financial performance for listed companies in Thailand during the transition period: A class-based approach using logistic regression and random forest algorithm
Pornpawee Supsermpol, Van‐Nam Huynh, Suttipong Thajchayapong, et al.
Journal of Open Innovation Technology Market and Complexity (2023) Vol. 9, Iss. 3, pp. 100130-100130
Open Access | Times Cited: 29
Liquified Petroleum Gas-Fuelled Vehicle CO2 Emission Modelling Based on Portable Emission Measurement System, On-Board Diagnostics Data, and Gradient-Boosting Machine Learning
Maksymilian Mądziel
Energies (2023) Vol. 16, Iss. 6, pp. 2754-2754
Open Access | Times Cited: 22
Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets
Mahmudul Hasan, Md Abdus Sahid, Md Palash Uddin, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1917-e1917
Open Access | Times Cited: 8
Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction
Fatih Ecer, Sina Ardabili, Shahab S. Band, et al.
Entropy (2020) Vol. 22, Iss. 11, pp. 1239-1239
Open Access | Times Cited: 62
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
Stock values predictions using deep learning based hybrid models
Konark Yadav, Milind Yadav, Sandeep Saini
CAAI Transactions on Intelligence Technology (2021) Vol. 7, Iss. 1, pp. 107-116
Open Access | Times Cited: 51
Trends and Directions of Financial Technology (Fintech) in Society and Environment: A Bibliometric Study
Adeel Nasir, Kamran Shaukat, Kanwal Iqbal Khan, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10353-10353
Open Access | Times Cited: 51
Or-Based Intelligent Decision Support System for E-Commerce
Ke Zong, Yuan Yuan, Carlos Montenegro, et al.
Journal of theoretical and applied electronic commerce research (2021) Vol. 16, Iss. 4, pp. 1150-1164
Open Access | Times Cited: 47
Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models
Donghwan Song, Adrian Matias Chung Baek, Namhun Kim
IEEE Access (2021) Vol. 9, pp. 83786-83796
Open Access | Times Cited: 43
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