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:

2-D Compact Variational Mode Decomposition- Based Automatic Classification of Glaucoma Stages From Fundus Images
Deepak Parashar, Dheeraj Agrawal
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Explainable AI for Glaucoma Prediction Analysis to Understand Risk Factors in Treatment Planning
Md. Sarwar Kamal, Nilanjan Dey, Linkon Chowdhury, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Closed Access | Times Cited: 56

Automatic Diagnosis of Different Grades of Diabetic Retinopathy and Diabetic Macular Edema Using 2-D-FBSE-FAWT
Pradeep Kumar Chaudhary, Ram Bilas Pachori
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Closed Access | Times Cited: 51

Optimized convolution neural network based multiple eye disease detection
P. Glaret Subin, P. Muthukannan
Computers in Biology and Medicine (2022) Vol. 146, pp. 105648-105648
Closed Access | Times Cited: 42

Automated Glaucoma Screening and Diagnosis Based on Retinal Fundus Images Using Deep Learning Approaches: A Comprehensive Review
Mohammad J. M. Zedan, Mohd Asyraf Zulkifley, Ahmad Asrul Ibrahim, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2180-2180
Open Access | Times Cited: 40

CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images
Dipankar Das, Deepak Ranjan Nayak, Ram Bilas Pachori
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 26

Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features
Rajneesh Kumar Patel, Manish Kashyap
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 1, pp. 246-261
Closed Access | Times Cited: 25

A novel glaucoma detection model using Unet++-based segmentation and ResNet with GRU-based optimized deep learning
Vutukuru Venkata Naga Satish Kumar, G. Harinath Reddy, M. N. Giriprasad
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105069-105069
Closed Access | Times Cited: 16

GNN-fused CapsNet with multi-head prediction for diabetic retinopathy grading
Yongjia Lei, Shuyuan Lin, Zhiying Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107994-107994
Closed Access | Times Cited: 5

RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images
Xiang Li, Yuchen Jiang, Yiliu Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 19

ODMNet: Automated Glaucoma Detection and Classification Model Using Heuristically-Aided Optimized DenseNet and MobileNet Transfer Learning
X. Felix Joseph, Fanax Femy F.
Cybernetics & Systems (2023) Vol. 55, Iss. 1, pp. 245-277
Closed Access | Times Cited: 11

AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images
Dipankar Das, Deepak Ranjan Nayak, Ram Bilas Pachori
Image and Vision Computing (2024) Vol. 146, pp. 105042-105042
Closed Access | Times Cited: 4

A 2D VMD video image processing-based transfer learning approach for the detection and estimation of biofouling in tidal stream turbines
Houssem Habbouche, Haroon Rashid, Yassine Amirat, et al.
Ocean Engineering (2024) Vol. 312, pp. 119283-119283
Open Access | Times Cited: 4

A Hyperspectral Image Classification Method Based on 2-D Compact Variational Mode Decomposition
Renxiong Zhuo, Yunfei Guo, Baofeng Guo
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 8

Discriminative analysis of diabetic retinopathy using cascaded network with Atrous convolution and fundus biomarkers
Ankita Pandey, Arun Kumar
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106777-106777
Closed Access | Times Cited: 2

Interpretable diagnostic system for multiocular diseases based on hybrid meta-heuristic feature selection
M Raveenthini, R Lavanya, Raúl Benítez
Computers in Biology and Medicine (2024) Vol. 184, pp. 109486-109486
Closed Access | Times Cited: 2

A Computationally Efficient Red-Lesion Extraction Method for Retinal Fundus Images
Maryam Monemian, Hossein Rabbani
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Closed Access | Times Cited: 10

Optimal feature selection and classification of Indian classical dance hand gesture dataset
Reshma Raj, Smitha Dharan, T. T. Sunil
The Visual Computer (2022) Vol. 39, Iss. 9, pp. 4049-4064
Closed Access | Times Cited: 9

A deep retinal image quality assessment network with salient structure priors
Ziwen Xu, Beiji Zou, Qing Liu
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 34005-34028
Open Access | Times Cited: 5

Two-dimensional variational mode decomposition for seismic record denoising
Xingli Zhang, Yan Chen, Rui‐Sheng Jia, et al.
Journal of Geophysics and Engineering (2022) Vol. 19, Iss. 3, pp. 433-444
Open Access | Times Cited: 8

Optical coherence tomography sensing: Image post processing for neuropathy detection
Jacques Tene Koyazo, A. Lay-Ekuakille, Moïse Avoci Ugwiri, et al.
Measurement (2024) Vol. 236, pp. 115037-115037
Closed Access | Times Cited: 1

Evaluating the Performance of a Non-Uniform Squash Function in Capsule Networks for Early Diabetic Retinopathy Detection Using Fundus Image Analysis
Nagachandrika Gogulamudi, G. Madhu, Apparao Naidu G, et al.
Results in Engineering (2024) Vol. 23, pp. 102820-102820
Open Access | Times Cited: 1

Disentangled Representation for Cross-Domain Medical Image Segmentation
Jie Wang, Chaoliang Zhong, Cheng Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2022), pp. 1-1
Closed Access | Times Cited: 7

Classification of Glaucoma Stages Using Image Empirical Mode Decomposition from Fundus Images
Deepak Parashar, Dheeraj Agrawal
Journal of Digital Imaging (2022) Vol. 35, Iss. 5, pp. 1283-1292
Open Access | Times Cited: 6

GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification
Dipankar Das, Deepak Ranjan Nayak
2022 IEEE International Conference on Image Processing (ICIP) (2023), pp. 3454-3458
Closed Access | Times Cited: 3

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