
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:
Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data
Suyel Namasudra, S. Dhamodharavadhani, R. Rathipriya, et al.
Big Data (2023) Vol. 12, Iss. 2, pp. 83-99
Closed Access | Times Cited: 14
Suyel Namasudra, S. Dhamodharavadhani, R. Rathipriya, et al.
Big Data (2023) Vol. 12, Iss. 2, pp. 83-99
Closed Access | Times Cited: 14
Showing 14 citing articles:
Introduction to machine learning
Munshi Saifuzzaman, Tajkia Nuri Ananna
Advances in computers (2024)
Closed Access | Times Cited: 19
Munshi Saifuzzaman, Tajkia Nuri Ananna
Advances in computers (2024)
Closed Access | Times Cited: 19
Explainable AI Insights into a Time Series Weather Prediction Model Using Stacked LSTM
Thasneem Fathima, Binsu C. Kovoor
Lecture notes in networks and systems (2025), pp. 27-40
Closed Access
Thasneem Fathima, Binsu C. Kovoor
Lecture notes in networks and systems (2025), pp. 27-40
Closed Access
Forecasting Heart Disease Using Deep BI-DI Neural Networks
S. Uma, T. Kujani, P. Matheswaran
Lecture notes in networks and systems (2025), pp. 203-217
Closed Access
S. Uma, T. Kujani, P. Matheswaran
Lecture notes in networks and systems (2025), pp. 203-217
Closed Access
Predicting COVID-19 Cases in India Using ARIMA, Prophet, LSTM and Data Analysis Using Power BI
Animesh Das
Lecture notes in networks and systems (2025), pp. 147-161
Closed Access
Animesh Das
Lecture notes in networks and systems (2025), pp. 147-161
Closed Access
Face anti-spoofing via jointly modeling local texture and constructed depth
Lei Li, Zhihao Yao, Shanshan Gao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108345-108345
Closed Access | Times Cited: 4
Lei Li, Zhihao Yao, Shanshan Gao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108345-108345
Closed Access | Times Cited: 4
Advancing Stock Market Predictions with Time Series Analysis including LSTM and ARIMA
Ishtiaq Ahammad, William Ankan Sarkar, Famme Akter Meem, et al.
Cloud Computing and Data Science (2024), pp. 226-241
Open Access | Times Cited: 4
Ishtiaq Ahammad, William Ankan Sarkar, Famme Akter Meem, et al.
Cloud Computing and Data Science (2024), pp. 226-241
Open Access | Times Cited: 4
Toward Smart Healthcare: Challenges and Opportunities in IoT and ML
Munshi Saifuzzaman, Tajkia Nuri Ananna
Studies in computational intelligence (2024), pp. 325-355
Closed Access | Times Cited: 1
Munshi Saifuzzaman, Tajkia Nuri Ananna
Studies in computational intelligence (2024), pp. 325-355
Closed Access | Times Cited: 1
Using Twitter to analysis of social innovation through user comments data mining
Ali Asghar Sadabadi, Faraz Mehraien
Multimedia Tools and Applications (2024)
Closed Access
Ali Asghar Sadabadi, Faraz Mehraien
Multimedia Tools and Applications (2024)
Closed Access
A Hybrid Neural Network-Based Fast Financial Fraud Detection Model
Zhuoni Zheng, Rongrong Zhang, Yangyi Li, et al.
Journal of Circuits Systems and Computers (2024) Vol. 33, Iss. 15
Closed Access
Zhuoni Zheng, Rongrong Zhang, Yangyi Li, et al.
Journal of Circuits Systems and Computers (2024) Vol. 33, Iss. 15
Closed Access
Exploring Temperature-Dependent Photoluminescence Dynamics in Colloidal CdSe Nanoplatelets using Machine Learning Approach
Ivan Malashin, D.S. Daibagya, В С Тынченко, et al.
Research Square (Research Square) (2024)
Open Access
Ivan Malashin, D.S. Daibagya, В С Тынченко, et al.
Research Square (Research Square) (2024)
Open Access
Predicting and diagnosis of COVID-19 based on IoT and machine learning algorithm
Fatih Ertam, Ilhan Firat Kilinçer
Advances in computers (2024)
Closed Access
Fatih Ertam, Ilhan Firat Kilinçer
Advances in computers (2024)
Closed Access
Research challenges and future work directions in smart healthcare using IoT and machine learning
Sachin Minocha, Keinisha Joshi, Akshita Sharma, et al.
Advances in computers (2024)
Closed Access
Sachin Minocha, Keinisha Joshi, Akshita Sharma, et al.
Advances in computers (2024)
Closed Access
Exploring temperature-dependent photoluminescence dynamics of colloidal CdSe nanoplatelets using machine learning approach
Ivan Malashin, D.S. Daibagya, В С Тынченко, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Ivan Malashin, D.S. Daibagya, В С Тынченко, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
SaPt-CNN-LSTM-AR-EA: a hybrid ensemble learning framework for time series-based multivariate DNA sequence prediction
Wu Yan, Li Tan, Mengshan Li, et al.
PeerJ (2023) Vol. 11, pp. e16192-e16192
Open Access
Wu Yan, Li Tan, Mengshan Li, et al.
PeerJ (2023) Vol. 11, pp. e16192-e16192
Open Access