
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:
Pattern Recognition of Acute Lymphoblastic Leukemia (ALL) Using Computational Deep Learning
Nasmin Jiwani, Ketan Gupta, Giovanni Pau, et al.
IEEE Access (2023) Vol. 11, pp. 29541-29553
Open Access | Times Cited: 32
Nasmin Jiwani, Ketan Gupta, Giovanni Pau, et al.
IEEE Access (2023) Vol. 11, pp. 29541-29553
Open Access | Times Cited: 32
Showing 1-25 of 32 citing articles:
An intelligent optimization framework to predict the vulnerable range of tumor cells using Internet of things
Venkata Ashok K Gorantla, Shiva Kumar Sriramulugari, Amit Hasmukhbhai Mewada, et al.
(2023)
Closed Access | Times Cited: 55
Venkata Ashok K Gorantla, Shiva Kumar Sriramulugari, Amit Hasmukhbhai Mewada, et al.
(2023)
Closed Access | Times Cited: 55
An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning
Rakesh Ramakrishnan, Mehmood Ali Mohammed, Murtuza Ali Mohammed, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-7
Closed Access | Times Cited: 46
Rakesh Ramakrishnan, Mehmood Ali Mohammed, Murtuza Ali Mohammed, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-7
Closed Access | Times Cited: 46
The three dimensional dosimetry imaging for automated eye cancer classification using transfer learning model
Murtuza Ali Mohammed, Vazeer Ali Mohammed, Rakesh Ramakrishnan, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-6
Closed Access | Times Cited: 44
Murtuza Ali Mohammed, Vazeer Ali Mohammed, Rakesh Ramakrishnan, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-6
Closed Access | Times Cited: 44
The Spreading Prediction and Severity Analysis of Blood Cancer Using Scale-Invariant Feature Transform
Vazeer Ali Mohammed, Mehmood Ali Mohammed, Murtuza Ali Mohammed, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 23
Vazeer Ali Mohammed, Mehmood Ali Mohammed, Murtuza Ali Mohammed, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 23
A Novel Predictive Analysis to Identify the Weather Impacts for Congenital Heart Disease Using Reinforcement Learning
Mehmood Ali Mohammed, Rakesh Ramakrishnan, Murtuza Ali Mohammed, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 21
Mehmood Ali Mohammed, Rakesh Ramakrishnan, Murtuza Ali Mohammed, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 21
A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique
Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, et al.
IEEE Access (2024) Vol. 12, pp. 29252-29268
Open Access | Times Cited: 7
Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, et al.
IEEE Access (2024) Vol. 12, pp. 29252-29268
Open Access | Times Cited: 7
CoTCoNet: An optimized coupled transformer-convolutional network with an adaptive graph reconstruction for leukemia detection
Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108821-108821
Closed Access | Times Cited: 6
Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108821-108821
Closed Access | Times Cited: 6
Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning
Rezaul Haque, Abdullah Al Sakib, Md. Forhad Hossain, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 966-991
Open Access | Times Cited: 5
Rezaul Haque, Abdullah Al Sakib, Md. Forhad Hossain, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 966-991
Open Access | Times Cited: 5
The smart detection of neuro-pathological effects of alzheimer patients using neural networks
Bharatwaja Namatherdhala, Ashween Ganesh, Noori Memon, et al.
(2023), pp. 858-863
Closed Access | Times Cited: 11
Bharatwaja Namatherdhala, Ashween Ganesh, Noori Memon, et al.
(2023), pp. 858-863
Closed Access | Times Cited: 11
Using deep learning on microscopic images for white blood cell detection and segmentation to assist in leukemia diagnosis
Fernando Rodrigues Trindade Ferreira, Loena Marins do Couto
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Fernando Rodrigues Trindade Ferreira, Loena Marins do Couto
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
EfficientNetB1 Empowered Deep Learning for Accurate Leukemia Detection in Blood Smear Image
Yeluri Divya, M. Shanmuga Sundari, Kollu Seekruthi, et al.
Lecture notes in networks and systems (2025), pp. 345-355
Closed Access
Yeluri Divya, M. Shanmuga Sundari, Kollu Seekruthi, et al.
Lecture notes in networks and systems (2025), pp. 345-355
Closed Access
Artificial Intelligence Powered Automated and Early Diagnosis of Acute Lymphoblastic Leukemia Cancer in Histopathological Images: A Robust SqueezeNet‐Enhanced Machine Learning Framework
Vineet Mehan
International Journal of Telemedicine and Applications (2025) Vol. 2025, Iss. 1
Open Access
Vineet Mehan
International Journal of Telemedicine and Applications (2025) Vol. 2025, Iss. 1
Open Access
A Load Balancing Architecture to Improve the Security of Cloud Computing in the Disease Management Centers
Ashween Ganesh, Rakesh Ramakrishnan, Adithya Kiran Sekar, et al.
(2023), pp. 1299-1305
Closed Access | Times Cited: 10
Ashween Ganesh, Rakesh Ramakrishnan, Adithya Kiran Sekar, et al.
(2023), pp. 1299-1305
Closed Access | Times Cited: 10
Automatic Detection of Acute Leukemia (ALL and AML) Utilizing Customized Deep Graph Convolutional Neural Networks
Lida Zare, Mahsan Rahmani, Nastaran Khaleghi, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 644-644
Open Access | Times Cited: 3
Lida Zare, Mahsan Rahmani, Nastaran Khaleghi, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 644-644
Open Access | Times Cited: 3
An enhanced analysis of non-invasive human brain stimulation prediction for stroke patients using closed loop control scheme
Ameya Shastri Pothukuchi, Noori Memon, Vinay Mallikarjunaradhya, et al.
(2023), pp. 864-869
Closed Access | Times Cited: 8
Ameya Shastri Pothukuchi, Noori Memon, Vinay Mallikarjunaradhya, et al.
(2023), pp. 864-869
Closed Access | Times Cited: 8
Enhancing Acute Lymphoblastic Leukemia Classification with a Rapid and Effective CNN Model
Johana Devi, Pavithra Sai Kadiyala, S. Lavu, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Johana Devi, Pavithra Sai Kadiyala, S. Lavu, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Artificial intelligence reveals the predictions of hematological indexes in children with acute leukemia
Zhangkai J. Cheng, Haiyang Li, Mingtao Liu, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Zhangkai J. Cheng, Haiyang Li, Mingtao Liu, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Effectiveness of Group Spiritual Care on Leukemia Patients' Hope and Anxiety in Iran: A Randomized Controlled Trial
Mohammad R. Torabi, Vahid Yousofvand, Reza Mohammadi, et al.
Journal of Religion and Health (2023) Vol. 63, Iss. 2, pp. 1413-1432
Closed Access | Times Cited: 6
Mohammad R. Torabi, Vahid Yousofvand, Reza Mohammadi, et al.
Journal of Religion and Health (2023) Vol. 63, Iss. 2, pp. 1413-1432
Closed Access | Times Cited: 6
An IoT enabled computational model and application development for monitoring cardiovascular risks
R. Rajaganapathi, Mahendran Radha, D Sivaganesan, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100513-100513
Open Access | Times Cited: 1
R. Rajaganapathi, Mahendran Radha, D Sivaganesan, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100513-100513
Open Access | Times Cited: 1
“Integrated Hybrid Deep Learning Approach for Precise Blood Cancer Detection”
S Selvakumaran, C Poonguzhali, Elango Baskaran, et al.
(2024)
Closed Access | Times Cited: 1
S Selvakumaran, C Poonguzhali, Elango Baskaran, et al.
(2024)
Closed Access | Times Cited: 1
DeepLeuk: a convolutional neural network pre-trained model for microscopic cell images-Based leukemia Cancer analysis
Ganesh Yenurkar, Sandip Mal, Nileshsingh V. Thakur, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Ganesh Yenurkar, Sandip Mal, Nileshsingh V. Thakur, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
CID:Way to Predict Cancer in Early Stage using DL Method of Frame Work
Balaram Yadav Kasula, Srikanth Kolluri, Sachin C. Patil, et al.
(2024), pp. 303-309
Closed Access
Balaram Yadav Kasula, Srikanth Kolluri, Sachin C. Patil, et al.
(2024), pp. 303-309
Closed Access
Analysis of Machine and Deep Learning Algorithms for Pattern Recognition in Medical Data
Bharath Kumar Gowru, G. Appa Rao
(2024), pp. 1-5
Closed Access
Bharath Kumar Gowru, G. Appa Rao
(2024), pp. 1-5
Closed Access
Classification of Leukemia White Blood Cell Cancer
M. Vineela, Gudibandi Durga Sravani Reddy, Ganji Karthik, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024), pp. 1233-1236
Closed Access
M. Vineela, Gudibandi Durga Sravani Reddy, Ganji Karthik, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024), pp. 1233-1236
Closed Access
The Effects of CT on Blood Components for Diabetic Patients
Farah HASAN, Aedah Z. Al-Kaisy, Mohamed A. Hasan
Medicina Moderna - Modern Medicine (2024) Vol. 31, Iss. 2, pp. 129-133
Open Access
Farah HASAN, Aedah Z. Al-Kaisy, Mohamed A. Hasan
Medicina Moderna - Modern Medicine (2024) Vol. 31, Iss. 2, pp. 129-133
Open Access