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OpenAlex Citation Counts

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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:

ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification
Malathy Jawahar, H Sharen, L. Jani Anbarasi, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105894-105894
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Deep Learning for the Detection of Acute Lymphoblastic Leukemia Subtypes on Microscopic Images: A Systematic Literature Review
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati
IEEE Access (2023) Vol. 11, pp. 16108-16127
Open Access | Times Cited: 25
Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
Jernej Završnik, Peter Kokol, Bojan Žlahtič, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 512-512
Open Access | Times Cited: 10
DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images
Manjit Kaur, Ahmad Ali AlZubi, Arpit Jain, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2752-2752
Open Access | Times Cited: 19
DeepLeukNet—A CNN based microscopy adaptation model for acute lymphoblastic leukemia classification
Umair Saeed, Kamlesh Kumar, Mansoor Ahmed Khuhro, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 21019-21043
Closed Access | Times Cited: 18
Artificial intelligence in the clinical laboratory
Hanjing Hou, Rui Zhang, Jinming Li
Clinica Chimica Acta (2024) Vol. 559, pp. 119724-119724
Closed Access | Times Cited: 6
An attention-based deep learning for acute lymphoblastic leukemia classification
Malathy Jawahar, L. Jani Anbarasi, Sathiya Narayanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Multiscale adaptive and attention-dilated convolutional neural network for efficient leukemia detection model with multiscale trans-res-Unet3+ -based segmentation network
K Gokulkannan, T A Mohanaprakash, J. DafniRose, et al.
Biomedical Signal Processing and Control (2024) Vol. 90, pp. 105847-105847
Closed Access | Times Cited: 5
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
Comprehensive Evaluation of GAN Architectures for Acute Lymphoblastic Leukemia Classification
Malathy Jawahar, NV Jayashree, Benson Edwin Raj, et al.
Communications in computer and information science (2025), pp. 215-226
Closed Access
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: 4
An ensemble-acute lymphoblastic leukemia model for acute lymphoblastic leukemia image classification
Mei‐Ling Huang, Zong-Bin Huang
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 2, pp. 1959-1978
Open Access | Times Cited: 3
Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
Jernej Završnik, Peter Kokol, Bojan Žlahtič, et al.
(2024)
Open Access | Times Cited: 3
Decoding leukemia at the single-cell level: clonal architecture, classification, microenvironment, and drug resistance
J Liu, Penglei Jiang, Zezhen Lu, et al.
Experimental Hematology and Oncology (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3
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
Artificial intelligence applications in pediatric oncology diagnosis
Yuhan Yang, Yimao Zhang, Yuan Li
Exploration of Targeted Anti-tumor Therapy (2023), pp. 157-169
Open Access | Times Cited: 9
ODRNN: optimized deep recurrent neural networks for automatic detection of leukaemia
K. Dhana Shree, S. Logeswari
Signal Image and Video Processing (2024) Vol. 18, Iss. 5, pp. 4157-4173
Open Access | Times Cited: 2
ODRNN: Optimized Deep Recurrent Neural Networks for Automatic Detection of Leukaemia
K. Dhana Shree, S. Logeswari
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Acute lymphoblastic leukemia classification using persistent homology
Waqar Hussain Shah, Abdullah Baloch, R. Jaimes-Reátegui, et al.
The European Physical Journal Special Topics (2024)
Open Access | Times Cited: 1
Acute lymphoblastic leukemia detection using ensemble features from multiple deep CNN models
Ahmed Abul Hasanaath, Abdul Sami Mohammed, Ghazanfar Latif, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 4, pp. 2407-2423
Open Access | Times Cited: 1
Deep transfer learning technique to detect white blood cell classification in regular clinical practice using histopathological images
K. Anita Davamani, Malathy Jawahar, L. Jani Anbarasi, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
A Cutting-Edge Ensemble of Vision Transformer and ResNet101v2 Based Transfer Learning for the Precise Classification of Leukemia Sub-types from Peripheral Blood Smear Images
Barsha Roy, Md. Farukuzzaman Faruk, Md Nazmul Islam, et al.
(2024), pp. 49-54
Closed Access | Times Cited: 1
A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database
Nilkanth Mukund Deshpande, Shilpa Gite, Biswajeet Pradhan, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 1, pp. 593-631
Open Access | Times Cited: 2
RETRACTED: ODRNN: Optimized Deep Recurrent Neural Networks for Automatic Detection of Leukaemia
Anagha Shree, S. Logeswari, b
Egyptian Informatics Journal (2024) Vol. 26, pp. 100453-100453
Open Access
Fusion of GoogleNet and Capsule Neural Network models for improving bone tumor classification
S. Kirubakaran, G.L. John Salvin
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
A ROBUST ENSEMBLE SEGMENTATION APPROACH AND OPPOSITION-BASED RAIN OPTIMIZATION ALGORITHM FOR ENHANCING ACUTE LYMPHOBLASTIC LEUKEMIA (ALL) DETECTION
M. Abirami, G. Victo Sudha George, Dahlia Sam
Biomedical Engineering Applications Basis and Communications (2024) Vol. 36, Iss. 04
Closed Access
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