
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:
ResRandSVM: Hybrid Approach for Acute Lymphocytic Leukemia Classification in Blood Smear Images
Adel Sulaiman, Swapandeep Kaur, Sheifali Gupta, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2121-2121
Open Access | Times Cited: 12
Adel Sulaiman, Swapandeep Kaur, Sheifali Gupta, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2121-2121
Open Access | Times Cited: 12
Showing 12 citing articles:
Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer
Esraa Hassan, Abeer Saber, Samar Elbedwehy
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106246-106246
Closed Access | Times Cited: 7
Esraa Hassan, Abeer Saber, Samar Elbedwehy
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106246-106246
Closed Access | Times Cited: 7
Detecting Acute Lymphocytic Leukemia in Individual Blood Cell Smear Images
Ruba Baluabid, Hadeel Alnasri, Rafaa Alowaybidi, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19167-19173
Open Access
Ruba Baluabid, Hadeel Alnasri, Rafaa Alowaybidi, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19167-19173
Open Access
An Efficient System for Detection and Classification of Acute Lymphoblastic Leukemia Using Semi-Supervised Segmentation Technique
Ratnamala Mantri, Rais Abdul Hamid Khan, Deepak Mane
International Research Journal of Multidisciplinary Technovation (2025), pp. 121-134
Open Access
Ratnamala Mantri, Rais Abdul Hamid Khan, Deepak Mane
International Research Journal of Multidisciplinary Technovation (2025), pp. 121-134
Open Access
Incremental Learning for Acute lymphoblastic Leukemia Classification Based on Hybrid Deep Learning Using Blood Smear Image
Smritilekha Das, K. Padmanaban
Computational Biology and Chemistry (2025), pp. 108456-108456
Closed Access
Smritilekha Das, K. Padmanaban
Computational Biology and Chemistry (2025), pp. 108456-108456
Closed Access
Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning
Turky Omar Asar, Mahmoud Ragab
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Turky Omar Asar, Mahmoud Ragab
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Improving Endoscopic Image Analysis: Attention Mechanism Integration in Grid Search Fine-tuned Transfer Learning Model for Multi-class Gastrointestinal Disease Classification
M. A. Elmagzoub, Swapandeep Kaur, Sheifali Gupta, et al.
IEEE Access (2024) Vol. 12, pp. 80345-80358
Open Access | Times Cited: 2
M. A. Elmagzoub, Swapandeep Kaur, Sheifali Gupta, et al.
IEEE Access (2024) Vol. 12, pp. 80345-80358
Open Access | Times Cited: 2
VisTA: vision transformer-attention enhanced CNN ensemble for optimized classification of acute lymphoblastic leukemia benign and progressive malignant stages
Hasmitha Krishna Nunna, Ali Altable, Pallavi Gundala, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Hasmitha Krishna Nunna, Ali Altable, Pallavi Gundala, et al.
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Optimal Feature Selection from High-dimensional Fusion of Blood Smear Images for Leukemia Diagnosis
G. Chinna Pullaiah, Ashok Kumar P.M.
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 3, pp. 1980-2000
Open Access | Times Cited: 1
G. Chinna Pullaiah, Ashok Kumar P.M.
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 3, pp. 1980-2000
Open Access | Times Cited: 1
Phenotyping and predicting wheat spike characteristics using image analysis and machine learning
Mikayla Hammers, Zachary J. Winn, Asa BenâHur, et al.
The Plant Phenome Journal (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 3
Mikayla Hammers, Zachary J. Winn, Asa BenâHur, et al.
The Plant Phenome Journal (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 3
Advancing the Diagnosis of Acute Lymphoblastic Leukemia with Hybrid Neural Networks
Meghana Somu, Anika Ramanathan, Karma Luitel
Journal of Student Research (2024) Vol. 13, Iss. 1
Open Access
Meghana Somu, Anika Ramanathan, Karma Luitel
Journal of Student Research (2024) Vol. 13, Iss. 1
Open Access
Improving YOLOv8 Performance Using Hyperparameter Optimization with Gray Wolf Optimizer to Detect Acute Lymphoblastic Leukemia
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati, et al.
(2024), pp. 169-175
Closed Access
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati, et al.
(2024), pp. 169-175
Closed Access
A Robust EfficientNetV2-S Classifier for Predicting Acute Lymphoblastic Leukemia Based on Cross Validation
A. A. Abd El-Aziz, Mahmood A. Mahmood, Sameh Abd El-Ghany
Symmetry (2024) Vol. 17, Iss. 1, pp. 24-24
Open Access
A. A. Abd El-Aziz, Mahmood A. Mahmood, Sameh Abd El-Ghany
Symmetry (2024) Vol. 17, Iss. 1, pp. 24-24
Open Access
Detection of Acute Lymphoblastic Leukemia Using CollateNet
Samyak Jain, Parthi Vishnawat, Praveen Kumar Shukla, et al.
(2023), pp. 1095-1100
Closed Access | Times Cited: 1
Samyak Jain, Parthi Vishnawat, Praveen Kumar Shukla, et al.
(2023), pp. 1095-1100
Closed Access | Times Cited: 1