
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:
A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
Ashish Kumar, Nishant Kumar, Jeril Kuriakose, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3867-3889
Closed Access | Times Cited: 16
Ashish Kumar, Nishant Kumar, Jeril Kuriakose, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3867-3889
Closed Access | Times Cited: 16
Showing 16 citing articles:
A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases
Kavita Thakur, Manjot Kaur, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4477-4497
Open Access | Times Cited: 24
Kavita Thakur, Manjot Kaur, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4477-4497
Open Access | Times Cited: 24
A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases
Krishna Modi, Ishbir Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4733-4756
Closed Access | Times Cited: 18
Krishna Modi, Ishbir Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4733-4756
Closed Access | Times Cited: 18
An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1023-1049
Closed Access | Times Cited: 17
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1023-1049
Closed Access | Times Cited: 17
An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1051-1078
Closed Access | Times Cited: 14
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1051-1078
Closed Access | Times Cited: 14
Artificial Intelligence-Based Approaches for Detection and Classification of Different Classes of Malaria Parasites Using Microscopic Images: A Systematic Review
Barkha Kakkar, Mohit Goyal, Prashant Johri, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4781-4800
Closed Access | Times Cited: 13
Barkha Kakkar, Mohit Goyal, Prashant Johri, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4781-4800
Closed Access | Times Cited: 13
A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework
Maram Fahaad Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Healthcare (2023) Vol. 11, Iss. 24, pp. 3185-3185
Open Access | Times Cited: 13
Maram Fahaad Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Healthcare (2023) Vol. 11, Iss. 24, pp. 3185-3185
Open Access | Times Cited: 13
A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images
Priya Bhardwaj, Sanjeev Kumar, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4499-4516
Closed Access | Times Cited: 11
Priya Bhardwaj, Sanjeev Kumar, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4499-4516
Closed Access | Times Cited: 11
A Comprehensive Study on Deep Learning Models for the Detection of Ovarian Cancer and Glomerular Kidney Disease using Histopathological Images
S J K Jagadeesh Kumar, G. Prabu Kanna, D. Prem Raja, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
S J K Jagadeesh Kumar, G. Prabu Kanna, D. Prem Raja, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
Machine Learning Based Approaches for Livestock Symptoms and Diseases Prediction and Classification
Priya Bhardwaj, S J K Jagadeesh Kumar, G. Prabu Kanna, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Priya Bhardwaj, S J K Jagadeesh Kumar, G. Prabu Kanna, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Efficient Approach for Diagnosis and Detection of Alzheimer Diseases Using Deep Learning
Maitry Bimalbhai Desai, Yogesh Kumar, Shilpa Pandey
(2024), pp. 1-5
Closed Access | Times Cited: 1
Maitry Bimalbhai Desai, Yogesh Kumar, Shilpa Pandey
(2024), pp. 1-5
Closed Access | Times Cited: 1
A Comprehensive Analysis of Hypertension Disease Risk-Factors, Diagnostics, and Detections Using Deep Learning-Based Approaches
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 4, pp. 1939-1958
Closed Access | Times Cited: 3
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 4, pp. 1939-1958
Closed Access | Times Cited: 3
Multiple Infectious Disease Diagnosis and Detection Using Advanced CNN Models
Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar, et al.
Lecture notes in networks and systems (2024), pp. 45-58
Closed Access
Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar, et al.
Lecture notes in networks and systems (2024), pp. 45-58
Closed Access
A hydrological knowledge-informed LSTM model for monthly streamflow reconstruction using distributed data: Application to typical rivers across the Tibetan plateau
Shengling Hou, Jiahua Wei, Minglei Hou, et al.
Journal of Hydrology (2024), pp. 132409-132409
Closed Access
Shengling Hou, Jiahua Wei, Minglei Hou, et al.
Journal of Hydrology (2024), pp. 132409-132409
Closed Access
Machine Learning Approaches in Virtual Biopsy: A Review of Recent Developments and Applications
Ajaz Shah, Vishwam Modi, Yogesh Kumar
(2024), pp. 1-6
Closed Access
Ajaz Shah, Vishwam Modi, Yogesh Kumar
(2024), pp. 1-6
Closed Access
Machine Learning based Approaches for Accurately Diagnosis and Detection of Hypertension Disease
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 169-173
Closed Access | Times Cited: 1
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 169-173
Closed Access | Times Cited: 1
Advancements in Artificial Intelligence Techniques for Diagnosis and Detection in 3D Medical Images
Maitry Bimalbhai Desai, Shilpa Pandey, Yogesh Kumar
(2024), pp. 1-7
Closed Access
Maitry Bimalbhai Desai, Shilpa Pandey, Yogesh Kumar
(2024), pp. 1-7
Closed Access