Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

CoBiD-net: a tailored deep learning ensemble model for time series forecasting of covid-19
Sourabh Shastri, Kuljeet Singh, Monu Deswal, et al.
Spatial Information Research (2021) Vol. 30, Iss. 1, pp. 9-22
Closed Access | Times Cited: 19

Showing 19 citing articles:

COVID-19 infection localization and severity grading from chest X-ray images
Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 105002-105002
Open Access | Times Cited: 146
Deep learning for Covid-19 forecasting: State-of-the-art review.
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, et al.
Neurocomputing (2022) Vol. 511, pp. 142-154
Open Access | Times Cited: 36
Deep learning ensembles for accurate fog-related low-visibility events forecasting
C. Peláez‐Rodríguez, Jorge Pérez‐Aracil, A. de Lopez-Diz, et al.
Neurocomputing (2023) Vol. 549, pp. 126435-126435
Open Access | Times Cited: 17
Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
Showmick Guha Paul, Arpa Saha, Al Amin Biswas, et al.
Array (2022) Vol. 17, pp. 100271-100271
Open Access | Times Cited: 26
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images
Sachin Kumar, Sourabh Shastri, Shilpa Mahajan, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 5, pp. 1464-1480
Open Access | Times Cited: 19
Black fungus immunosuppressive epidemic with Covid-19 associated mucormycosis (zygomycosis): a clinical and diagnostic perspective from India
Kuljeet Singh, Sachin Kumar, Sourabh Shastri, et al.
Immunogenetics (2021) Vol. 74, Iss. 2, pp. 197-206
Open Access | Times Cited: 26
TiDEFormer—a heterogenous stacking ensemble approach for time series forecasting of COVID-19 prevalence
Satya Prakash, Anand Singh Jalal, Pooja Pathak
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
Predictability of COVID-19 Infections Based on Deep Learning and Historical Data
Rafat Zrieq, Souad Kamel, Sahbi Boubaker, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8029-8029
Open Access | Times Cited: 6
KeepNMax: Keep N Maximum of Epoch-Channel Ensemble Method for Deep Learning Models
Javokhir Musaev, Abdulaziz Anorboev, Ngoc Thanh Nguyên, et al.
IEEE Access (2023) Vol. 11, pp. 9339-9350
Open Access | Times Cited: 3
A Boosted Evolutionary Neural Architecture Search for Timeseries Forecasting with Application to South African COVID-19 Cases
Solomon Oluwole Akinola, Qing‐Guo Wang, Peter Olukanmi, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 14, pp. 107-130
Open Access | Times Cited: 2
Forecasting COVID-19 Pandemic – A scientometric Review of Methodologies Based on Mathematics, Statistics, and Machine Learning
Satya Prakash, Anand Singh Jalal, Pooja Pathak
Data & Metadata (2024) Vol. 3
Closed Access
Saúde digital e covid-19 nos países BRICS: análise bibliométrica
Nadyelle Elias Santos Alencar, Letícia Bastos Conrado, Paulo Régis Menezes Sousa, et al.
Journal of Health Informatics (2024) Vol. 16, Iss. Especial
Open Access
Machine Learning Models for Predicting COVID-19: An Ensemble Approach Applied to the State of Alagoas
José Lucas Bispo dos Santos, Elpídio Inácio Fernandes Filho, Mafalda Oliveira, et al.
(2024), pp. 412-423
Closed Access
Ensemble of top3 prediction with image pixel interval method using deep learning
Abdulaziz Anorboev, Javokhir Musaev, Sarvinoz Anorboeva, et al.
Computer Science and Information Systems (2023) Vol. 20, Iss. 4, pp. 1503-1517
Open Access | Times Cited: 1
GA-Stacking: A New Stacking-Based Ensemble Learning Method to Forecast the COVID-19 Outbreak
Walaa N. Ismail, Hessah A. Alsalamah, Ebtsam Mohamed
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 2, pp. 3945-3976
Open Access | Times Cited: 2
Deep Cp-Cxr: A Deep Learning Model for Identification of Covid-19 and Pneumonia Disease Using Chest X-Ray Images
Sachin Kumar, Anubha Gaur, Kuljeet Singh, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Modeling and analysis of COVID-19 new deaths using tree-based ensemble
Mohamed Hashem, Raja Sher Afgun Usmani, Asad Ali Shah, et al.
(2021)
Open Access | Times Cited: 1
Convolutional bi-directional long-short-term-memory based model to forecast COVID-19 in Algeria
Sourabh Shastri, Kuljeet Singh, Astha Sharma, et al.
Elsevier eBooks (2022), pp. 331-343
Closed Access
Forecasting non-linear macroeconomic indexes of India: an ensemble of MLP and Holt’s linear methods
Dipankar Das, Satyajit Chakrabarti
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 93
Open Access
Modeling and analysis of COVID-19 new deaths using tree-based ensemble
Mohamed Hashem, Raja Sher Afgun Usmani, Asad Ali Shah, et al.
(2021)
Open Access
Page 1

Scroll to top