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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:

A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis
Shiv Gehlot, Anubha Gupta, Ritu Gupta
Medical Image Analysis (2021) Vol. 72, pp. 102099-102099
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Pengfei Liang, Wenhui Wang, Xiaoming Yuan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105269-105269
Closed Access | Times Cited: 145
A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Vora Diya, Sukadev Meher, et al.
IEEE Access (2022) Vol. 10, pp. 81741-81763
Open Access | Times Cited: 90
WBC YOLO-ViT: 2 Way - 2 stage white blood cell detection and classification with a combination of YOLOv5 and vision transformer
Servas Adolph Tarimo, Mi‐Ae Jang, Emmanuel Edward Ngasa, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107875-107875
Closed Access | Times Cited: 18
C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset
Ritu Gupta, Shiv Gehlot, Anubha Gupta
Medical Engineering & Physics (2022) Vol. 103, pp. 103793-103793
Closed Access | Times Cited: 23
Diffusion-based Wasserstein generative adversarial network for blood cell image augmentation
Emmanuel Edward Ngasa, Mi‐Ae Jang, Servas Adolph Tarimo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108221-108221
Closed Access | Times Cited: 5
Analyzing recent trends in deep-learning approaches: a review on urban environmental hazards and disaster studies for monitoring, management, and mitigation toward sustainability
Deepak Kumar, Nick P. Bassill, Sukanya Ghosh
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images
Anubha Gupta, Shiv Gehlot, Shubham Goswami, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102677-102677
Closed Access | Times Cited: 19
PCMMD: A Novel Dataset of Plasma Cells to Support the Diagnosis of Multiple Myeloma
Caio Lopes Borges Andrade, Marcos V. Ferreira, Brenno M. Alencar, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Using Artificial Intelligence to Predict Class Loyalty and Plagiarism in Students in an Online Blended Programming Course during the COVID-19 Pandemic
Jainshing Wu, Ting-Hsuan Chien, Li-Ren Chien, et al.
Electronics (2021) Vol. 10, Iss. 18, pp. 2203-2203
Open Access | Times Cited: 21
A loss-based patch label denoising method for improving whole-slide image analysis using a convolutional neural network
Murtaza Ashraf, Willmer Rafell Quiñones Robles, Mujin Kim, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Enhancing diagnostic accuracy of multiple myeloma through ML-driven analysis of hematological slides: new dataset and identification model to support hematologists
Caio Lopes Borges Andrade, Marcos V. Ferreira, Brenno M. Alencar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data
José A. Sáez
Journal of Chemometrics (2023) Vol. 37, Iss. 5
Open Access | Times Cited: 7
Acute Leukemia Detection using Deep Learning Techniques
S Keerthivasan, N Saranya
International Research Journal on Advanced Science Hub (2023) Vol. 5, Iss. 10, pp. 372-381
Open Access | Times Cited: 7
Visible Light-Driven Photocatalysis of Al-Doped SrTiO3: Experimental and DFT Study
Ulzhan Abdikarimova, Madina Bissenova, N. L. Matsko, et al.
Molecules (2024) Vol. 29, Iss. 22, pp. 5326-5326
Open Access | Times Cited: 2
Noise Models in Classification: Unified Nomenclature, Extended Taxonomy and Pragmatic Categorization
José A. Sáez
Mathematics (2022) Vol. 10, Iss. 20, pp. 3736-3736
Open Access | Times Cited: 9
Deep learning applications in visual data for benign and malignant hematological conditions: a systematic review and visual glossary
Andrew Srisuwananukorn, Mohamed E. Salama, Alexander T. Pearson
Haematologica (2023) Vol. 108, Iss. 8, pp. 1993-2010
Open Access | Times Cited: 5
Construction of Intelligent Recognition and Learning Education Platform of National Music Genre Under Deep Learning
Zhongkui Xu
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 8
High-accuracy and high-throughput reactive lymphocyte identification using lightweight neural networks
Liye Mei, Shuangtong Jin, Tingting Huang, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106722-106722
Closed Access | Times Cited: 1
Deep learning-based prediction of later 13N-ammonia myocardial PET image frames from initial frames
Mersede Mokri, Mojtaba Safari, Sanaz Kaviani, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106865-106865
Open Access | Times Cited: 1
AAMR-FCN myeloma cancer net: Adaptive and attention-based mask R-FCN for diagnosing myeloma cancer using cell microscopic images with hybrid heuristic strategy
M. M. Shinu, D. Pamela, G. Glan Devadhas, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106987-106987
Closed Access | Times Cited: 1
Segmentation and counting of multiple myeloma cells using IEMD based deep neural network
Tushar Rasal, T. Veerakumar, Badri Narayan Subudhi, et al.
Leukemia Research (2022) Vol. 122, pp. 106950-106950
Closed Access | Times Cited: 6
High-throughput and high-accuracy diagnosis of multiple myeloma with multi-object detection
Liye Mei, Hui Shen, Yalan Yu, et al.
Biomedical Optics Express (2022) Vol. 13, Iss. 12, pp. 6631-6631
Open Access | Times Cited: 6
EvaGoNet: An integrated network of variational autoencoder and Wasserstein generative adversarial network with gradient penalty for binary classification tasks
Changfan Luo, Yiping Xu, Yongkang Shao, et al.
Information Sciences (2023) Vol. 629, pp. 109-122
Closed Access | Times Cited: 3
WTL-I: Mutual Information-Based Wavelet Transform Learning for Hyperspectral Imaging
Shiv Gehlot, Naushad Ansari, Anubha Gupta
Frontiers in Signal Processing (2022) Vol. 2
Open Access | Times Cited: 4
Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review
John Adeoye, Abdulwarith Akinshipo, Mohamad Koohi‐Moghadam, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 4
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