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:

Early diagnosis of COVID-19 patients using deep learning-based deep forest model
Dilbag Singh, Vijay Kumar, Manjit Kaur, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2022) Vol. 35, Iss. 3, pp. 365-375
Closed Access | Times Cited: 12

Showing 12 citing articles:

Machine learning applications for COVID-19 outbreak management
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15313-15348
Open Access | Times Cited: 92
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 44
Deep forest model in medicine: A visual analysis based on literature data
Xiangxiang Mei, Hao Shen, Haifei Zhang, et al.
Journal of Computational Methods in Sciences and Engineering (2025)
Open Access
COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques
Vijay Kumar, Anis Zarrad, Rahul Gupta, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 15
APDF: An active preference-based deep forest expert system for overall survival prediction in gastric cancer
Qiucen Li, Yuheng Wang, Zedong Du, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123131-123131
Closed Access | Times Cited: 2
Securing IoMT: A Hybrid Model for DDoS Attack Detection and COVID-19 Classification
G Sripriyanka, Anand Mahendran
IEEE Access (2024) Vol. 12, pp. 17328-17348
Open Access | Times Cited: 2
Prediction of SARS-CoV-2 infection with a Symptoms-Based model to aid public health decision making in Latin America and other low and middle income settings
Andrea Ramírez Varela, Sergio Moreno, Sandra Contreras‐Arrieta, et al.
Preventive Medicine Reports (2022) Vol. 27, pp. 101798-101798
Open Access | Times Cited: 10
ADeFS: A Deep Forest Regression-Based Model to Enhance the Performance Based on LASSO and Elastic Net
Zari Farhadi, Mohammad‐Reza Feizi‐Derakhshi, Israa Khalaf Salman Al-Tameemi, et al.
Mathematics (2024) Vol. 13, Iss. 1, pp. 118-118
Open Access
Derin öğrenme tabanlı yaklaşımlarla akciğer röntgen görüntüleri üzerinden COVID-19 ve bakteri kaynaklı zatürrenin otomatik teşhisi
Ömer Faruk Nasip
Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2024)
Open Access
Research on COVID-19 Pneumonia Detection Method Based on Multi-Scale Convolution and Attention Mechanism
Xiongkai Chen, Junjie Ruan
(2023), pp. 612-616
Closed Access | Times Cited: 1
COVID-19 Detection and Classification Method Based on Machine Learning and Image Processing
Inderpal Singh, Priyanka Chawla
Lecture notes in electrical engineering (2023), pp. 345-356
Closed Access
A Review of Deep Learning-Based Methods for the Diagnosis and Prediction of COVID-19
Jiaji Wang
International Journal of Patient-Centered Healthcare (2022) Vol. 12, Iss. 1, pp. 1-17
Closed Access
Page 1

Scroll to top