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:

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

Showing 18 citing articles:

Solving time cost optimization problem with adaptive multi-verse optimizer
Vu Hong Son Pham, Nghiep Trinh Nguyen Dang
OPSEARCH (2024) Vol. 61, Iss. 2, pp. 662-679
Closed Access | Times Cited: 5

Fuzzy Attention-Based Deep Neural Networks for Acute Lymphoblastic Leukemia Diagnosis
Tairan Zhang, Gang Xue
Applied Soft Computing (2025), pp. 112810-112810
Closed Access

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: 4

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

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

Enhancing potato crop yield with AI-powered CNN-based leaf disease detection and tracking
Mudassir Iftikhar, Irfan Ali Kandhro, Asadullah Kehar, et al.
Mehran University Research Journal of Engineering and Technology (2024) Vol. 43, Iss. 2, pp. 123-123
Open Access | Times Cited: 1

Improving Leukemia Detection Accuracy
Olalekan J. Awujoola, Theophilus Enem Aniemeka, O. Abioye, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 99-132
Closed Access

Super learner model for classifying leukemia through gene expression monitoring
Sharanya Selvaraj, Alhuseen Omar Alsayed, Nor Azman Ismail, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access

Enhancing Leukemia Diagnosis: A Deep Learning Approach for Subtype Classification
Chandrasekar Venkatachalam, Priyanka Shah, Sathish Kumar R, et al.
(2024), pp. 1-5
Closed Access

High‐Accuracy and Lightweight Image Classification Network for Optimizing Lymphoblastic Leukemia Diagnosisy
Liye Mei, Chao Lian, Suyang Han, et al.
Microscopy Research and Technique (2024)
Closed Access

BERT with an Augmented Cross-attention Decoder (BERT-ACD) for Binary and Fine-grained Multiband Sentiment Detection
Abubakar M. Ashir, Mohammed Abdulghani Taha
Intelligenza Artificiale (2024)
Closed Access

PCB defect detection based on pseudo-inverse transformation and YOLOv5
Xiaoli Wang, Siti Sarah Maidin, Malathy Batumalay
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0315424-e0315424
Open Access

Robust and high capacity image steganography technique using spiral-walk inter-block DCT coefficient differencing
Samridhi Kapoor, Shivendra Shivani
Multimedia Tools and Applications (2024)
Closed Access

Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia
Mahwish Ilyas, Muhammad Bilal, Nadia Shamshad Malik, et al.
Information (2024) Vol. 15, Iss. 12, pp. 787-787
Open Access

Integration of eye-tracking systems with sport concussion assessment tool 5th edition for mild TBI and concussion diagnostics in neurotrauma: Building a framework for the artificial intelligence era
Augusto Müller Fiedler, Renato Anghinah, Fernando De Nigris Vasconcellos, et al.
Neuroscience Informatics (2023) Vol. 3, Iss. 4, pp. 100147-100147
Open Access | Times Cited: 1

The Bayesian CNN-LSTM classification model to predict and evaluate learner’s performance
G. Sudhamathy, N. Valliammal
International Journal of Applied Science and Engineering (2023) Vol. 20, Iss. 4, pp. 1-9
Open Access

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