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:

A Study on Bladder Cancer Detection using AI-based Learning Techniques
Apeksha Koul, Yogesh Kumar, Anish Gupta
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022)
Closed Access | Times Cited: 15

Showing 15 citing articles:

Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Yogesh Kumar, Pertik Garg, Manu Raj Moudgil, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
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
Revolutionizing Metabolic Syndrome Detection and Classification with State-of-the-Art Machine Learning Techniques
Nandini Modi, Yogesh Kumar
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 1
Accurate Prediction of Bacterial Infections using Deep Learning-Based Approaches: A Recent Study and Progress
Jasdeep Singh, Ashish Oberoi, Yogesh Kumar
(2024), pp. 1-6
Closed Access
AI-based image processing techniques for the automatic segmentation of human organs
Surbhi Gupta, Apeksha Koul
Advances in computers (2024)
Closed Access
Artificial intelligence-based learning techniques for accurate prediction and classification of colorectal cancer
Yogesh Kumar, Shapali Bansal, Ankush Jariyal, et al.
CRC Press eBooks (2024), pp. 114-119
Open Access
Cerviscan: Advancing Cervical Cancer Detection through Deep Learning Innovations
H. Ramesh, Abdulla Al Serkal, Houssein Kanso, et al.
(2024), pp. 344-349
Closed Access
Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
(2023), pp. 374-378
Closed Access | Times Cited: 1
Automated Diagnosis and Detection of Blood Cancer Using Deep Learning-Based Approaches: A Recent Study and Challenges
Jaswinder Bir Singh, Vijay Luxmi
(2023), pp. 1187-1192
Closed Access | Times Cited: 1
Deep Learning in Mental Health: An In-Depth Analysis of Prediction Systems
Poonam Kaushik, Khushboo Bansal, Yogesh Kumar
(2023), pp. 364-369
Closed Access | Times Cited: 1
Machine Learning-Based Diagnosis and Detection of Liver Cancer: An Approach Enhancement
Yogesh Kumar, Parneet Kaur, Jyoti Rani
(2023), pp. 1-6
Closed Access | Times Cited: 1
Transfer Learning Approach for Detection of Autism Spectrum Disorder using Facial Images
Krisha Patel, Ashwini Ramanuj, Sohan Sakhiya, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 247-253
Closed Access | Times Cited: 1
Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study
Yogesh Kumar, G. Prabhu Kanna, S J K Jagadeesh Kumar, et al.
(2023), pp. 385-390
Closed Access
Automated Cervical Cancer Prediction using Ensemble Machine Learning based Approaches
Tarang Ghetia, Nirmit Patel, Ckewyn Chawda, et al.
(2023), pp. 1-7
Closed Access
Bibliometric Analysis of Machine Learning Ethics
Sello Prince Sekwatlakwatla, Vusumuzi Malele
(2023), pp. 1-6
Closed Access
Page 1

Scroll to top