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:
COVID-19 Patient Count Prediction Using LSTM
Muhammad Iqbal, Feras Al‐Obeidat, Fahad Maqbool, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 4, pp. 974-981
Open Access | Times Cited: 40
Muhammad Iqbal, Feras Al‐Obeidat, Fahad Maqbool, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 4, pp. 974-981
Open Access | Times Cited: 40
Showing 1-25 of 40 citing articles:
Information granules-based long-term forecasting of time series via BPNN under three-way decision framework
Chenglong Zhu, Xueling Ma, Chao Zhang, et al.
Information Sciences (2023) Vol. 634, pp. 696-715
Closed Access | Times Cited: 45
Chenglong Zhu, Xueling Ma, Chao Zhang, et al.
Information Sciences (2023) Vol. 634, pp. 696-715
Closed Access | Times Cited: 45
Temporal deep learning architecture for prediction of COVID-19 cases in India
Hanuman Verma, Saurav Mandal, Akshansh Gupta
Expert Systems with Applications (2022) Vol. 195, pp. 116611-116611
Open Access | Times Cited: 54
Hanuman Verma, Saurav Mandal, Akshansh Gupta
Expert Systems with Applications (2022) Vol. 195, pp. 116611-116611
Open Access | Times Cited: 54
Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework
Chenglong Zhu, Xueling Ma, Weiping Ding, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 32, Iss. 1, pp. 322-336
Closed Access | Times Cited: 24
Chenglong Zhu, Xueling Ma, Weiping Ding, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 32, Iss. 1, pp. 322-336
Closed Access | Times Cited: 24
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks
Haishuai Wang, Guangyu Tao, Jiali Ma, et al.
IEEE Journal of Selected Topics in Signal Processing (2022) Vol. 16, Iss. 2, pp. 276-288
Closed Access | Times Cited: 28
Haishuai Wang, Guangyu Tao, Jiali Ma, et al.
IEEE Journal of Selected Topics in Signal Processing (2022) Vol. 16, Iss. 2, pp. 276-288
Closed Access | Times Cited: 28
Analyzing the Stock Volatility Spillovers in Chinese Financial and Economic Sectors
Jingyu Li, Cheng Lu, Xiaolong Zheng, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 10, Iss. 1, pp. 269-284
Closed Access | Times Cited: 15
Jingyu Li, Cheng Lu, Xiaolong Zheng, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 10, Iss. 1, pp. 269-284
Closed Access | Times Cited: 15
Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content
Samina Amin, Abdullah Alharbi, M. Irfan Uddin, et al.
Soft Computing (2022) Vol. 26, Iss. 20, pp. 11077-11089
Open Access | Times Cited: 8
Samina Amin, Abdullah Alharbi, M. Irfan Uddin, et al.
Soft Computing (2022) Vol. 26, Iss. 20, pp. 11077-11089
Open Access | Times Cited: 8
Machine Learning Approach for Forecast Analysis of Novel COVID-19 Scenarios in India
Ankit Kumar Srivastava, Saurabh Tripathi, Sachin Kumar, et al.
IEEE Access (2022) Vol. 10, pp. 95106-95124
Open Access | Times Cited: 8
Ankit Kumar Srivastava, Saurabh Tripathi, Sachin Kumar, et al.
IEEE Access (2022) Vol. 10, pp. 95106-95124
Open Access | Times Cited: 8
Machine learning-based analysis and prediction of meteorological factors and urban heatstroke diseases
Hui Xu, Shufang Guo, Xiaojun Shi, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
Hui Xu, Shufang Guo, Xiaojun Shi, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
An Autoregressive Graph Convolutional Long Short-Term Memory Hybrid Neural Network for Accurate Prediction of COVID-19 Cases
Myrsini Ntemi, Ioannis Sarridis, Constantine Kotropoulos
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 2, pp. 724-735
Closed Access | Times Cited: 6
Myrsini Ntemi, Ioannis Sarridis, Constantine Kotropoulos
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 2, pp. 724-735
Closed Access | Times Cited: 6
Nonstationary time series forecasting using optimized-EVDHM-ARIMA for COVID-19
Suraj Singh Nagvanshi, Inderjeet Kaur, Charu Agarwal, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 3
Suraj Singh Nagvanshi, Inderjeet Kaur, Charu Agarwal, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 3
A Study on the Various Machine Learning Techniques Used in Predictions and Forecasting Related to Covid-19
R. Dhanalakshmi, A. Nivashini, N. Vijayaraghavan, et al.
Lecture notes in mechanical engineering (2023), pp. 447-454
Closed Access | Times Cited: 3
R. Dhanalakshmi, A. Nivashini, N. Vijayaraghavan, et al.
Lecture notes in mechanical engineering (2023), pp. 447-454
Closed Access | Times Cited: 3
Forecasting the Spot Market Electricity Price with a Long Short-Term Memory Model Architecture in a Disruptive Economic and Geopolitical Context
Adela Bârã, Simona‐Vasilica Oprea, Alexandru-Costin Băroiu
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Adela Bârã, Simona‐Vasilica Oprea, Alexandru-Costin Băroiu
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Smart COVIDNet: designing an IoT-based COVID-19 disease prediction framework using attentive and adaptive-derived ensemble deep learning
D Karthikeyan, P Baskaran, S. K. Somasundaram, et al.
Knowledge and Information Systems (2023) Vol. 66, Iss. 4, pp. 2269-2305
Closed Access | Times Cited: 3
D Karthikeyan, P Baskaran, S. K. Somasundaram, et al.
Knowledge and Information Systems (2023) Vol. 66, Iss. 4, pp. 2269-2305
Closed Access | Times Cited: 3
A Brief Assessment on Stock Market Forecast using Long Short Term Memory (LSTM) Algorithm
S. Kirubakaran, Jason J. Selvadurai, V. Ashok, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023)
Closed Access | Times Cited: 2
S. Kirubakaran, Jason J. Selvadurai, V. Ashok, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023)
Closed Access | Times Cited: 2
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
Hamdy Abdelkhalik, Shamminuj Aktar, Yehia Arafa, et al.
(2023)
Open Access | Times Cited: 2
Hamdy Abdelkhalik, Shamminuj Aktar, Yehia Arafa, et al.
(2023)
Open Access | Times Cited: 2
Unleashing the power of deep neural networks: An interactive exploration of static and dynamic architectures
Preeti Raj Verma, Navneet Pratap Singh, Deepika Pantola
Multimedia Tools and Applications (2024)
Closed Access
Preeti Raj Verma, Navneet Pratap Singh, Deepika Pantola
Multimedia Tools and Applications (2024)
Closed Access
VIPER: a new compartment model for prediction of infected and recovered patients in pandemics with case studies on COVID-19
Tian Wei, Lefu Xiao, Jingjin Wu
International Journal of Data Science and Analytics (2024)
Closed Access
Tian Wei, Lefu Xiao, Jingjin Wu
International Journal of Data Science and Analytics (2024)
Closed Access
An autoregressive integrated moving average and long short-term memory (ARIM-LSTM) hybrid model for multi-source epidemic data prediction
Benfeng Wang, Yuqi Shen, Xiaoran Yan, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2046-e2046
Open Access
Benfeng Wang, Yuqi Shen, Xiaoran Yan, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2046-e2046
Open Access
Long short-term memory model for COVID-19 forecasting
Pengfei Lou
Theoretical and Natural Science (2024) Vol. 37, Iss. 1, pp. 22-29
Closed Access
Pengfei Lou
Theoretical and Natural Science (2024) Vol. 37, Iss. 1, pp. 22-29
Closed Access
Influential Node Detection in Social Networks for Real-World Applications
Sangita Dutta, Malay Kule, Susanta Chakraborty
Research Square (Research Square) (2024)
Open Access
Sangita Dutta, Malay Kule, Susanta Chakraborty
Research Square (Research Square) (2024)
Open Access
Influence detection in dynamic networks: a novel overlapping community detection approach applied to COVID-19 spread analysis in India
Sangita Dutta, Susanta Chakraborty
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
Sangita Dutta, Susanta Chakraborty
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
An Exploratory Analysis of COVID-19 in Latin America Using Functional Principal Component Analysis
Diana Chaglla, Isidro R. Amaro, Saba Infante
Communications in computer and information science (2021), pp. 221-233
Closed Access | Times Cited: 4
Diana Chaglla, Isidro R. Amaro, Saba Infante
Communications in computer and information science (2021), pp. 221-233
Closed Access | Times Cited: 4
Constructing meaningful code changes via graph transformer
Shikai Guo, Mengxuan Li, Xin Ge, et al.
IET Software (2023) Vol. 17, Iss. 2, pp. 154-167
Open Access | Times Cited: 1
Shikai Guo, Mengxuan Li, Xin Ge, et al.
IET Software (2023) Vol. 17, Iss. 2, pp. 154-167
Open Access | Times Cited: 1
A Survey on the role of ML and AI in fighting Covid-19
Deepti Malhotra, Gurinder Kaur Sodhi
(2023), pp. 27-32
Closed Access | Times Cited: 1
Deepti Malhotra, Gurinder Kaur Sodhi
(2023), pp. 27-32
Closed Access | Times Cited: 1
Novel Coronavirus (COVID-19) Prediction using Deep Learning Model with Improved Meta-Heuristic Optimization Approach
Jyothi M. Rao, Bharathi Hassan Narayan
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 935-943
Closed Access | Times Cited: 2
Jyothi M. Rao, Bharathi Hassan Narayan
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 935-943
Closed Access | Times Cited: 2
