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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:

Utilizing human intelligence in artificial intelligence for detecting glaucomatous fundus images using human-in-the-loop machine learning
Prasanna Venkatesh Ramesh, Tamilselvan Subramaniam, Prajnya Ray, et al.
Indian Journal of Ophthalmology (2022) Vol. 70, Iss. 4, pp. 1131-1138
Open Access | Times Cited: 18

Showing 18 citing articles:

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: 39
The AI Revolution in Glaucoma: Bridging Challenges with Opportunities
Fei Li, Biao Wang, Zefeng Yang, et al.
Progress in Retinal and Eye Research (2024) Vol. 103, pp. 101291-101291
Closed Access | Times Cited: 6
Artificial intelligence in ophthalmology - Machines think!
Santosh G Honavar
Indian Journal of Ophthalmology (2022) Vol. 70, Iss. 4, pp. 1075-1079
Open Access | Times Cited: 22
The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification
Tuan-anh Tran, Tamás Ruppert, János Abonyi
Computers (2024) Vol. 13, Iss. 10, pp. 252-252
Open Access | Times Cited: 2
Constructing Ethical AI Based on the “Human-in-the-Loop” System
Ximeng Chen, Xiaohong Wang, Yanzhang Qu
Systems (2023) Vol. 11, Iss. 11, pp. 548-548
Open Access | Times Cited: 6
Under lock and key: Incorporation of blockchain technology in the field of ophthalmic artificial intelligence for big data management - A perfect match?
Prasanna Venkatesh Ramesh, Aji Kunnath Devadas, Prajnya Ray, et al.
Indian Journal of Ophthalmology (2022) Vol. 70, Iss. 6, pp. 2188-90
Open Access | Times Cited: 8
Validating the Generalizability of Ophthalmic Artificial Intelligence Models on Real-World Clinical Data
Homa Rashidisabet, Abhishek Sethi, Ponpawee Jindarak, et al.
Translational Vision Science & Technology (2023) Vol. 12, Iss. 11, pp. 8-8
Open Access | Times Cited: 3
Customised artificial intelligence toolbox for detecting diabetic retinopathy with confocal truecolor fundus images using object detection methods
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Tamilselvan Subramanian, et al.
TNOA Journal of Ophthalmic Science and Research (2023) Vol. 61, Iss. 1, pp. 57-57
Open Access | Times Cited: 2
Response to comments on: Modeling and mitigating human annotations to design processing systems with human-in-the-loop machine learning for glaucomatous defects: The future in artificial intelligence
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Aji Kunnath Devadas, et al.
Indian Journal of Ophthalmology (2022) Vol. 70, Iss. 8, pp. 3164-3165
Open Access | Times Cited: 4
Commentary: Is human supervision needed for artificial intelligence?
JohnDavis Akkara, Anju Kuriakose
Indian Journal of Ophthalmology (2022) Vol. 70, Iss. 4, pp. 1138-1139
Open Access | Times Cited: 3
An approach towards the detection of eye cancer using configured convolution neural network with sine cosine fitness gray wolf optimizer
J. Shanthini, P. Poovizhi, M.S. Kavitha, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 3, pp. 7223-7239
Closed Access
A Novel Fusion deep Learning Approach for Glaucoma Severity Classification – An Optical Coherence Tomography-Based Bimodal Artificial Intelligence Model
Prasanna Venkatesh Ramesh, Puja Chinasigari, Shreyank Kadadi, et al.
TNOA Journal of Ophthalmic Science and Research (2024) Vol. 62, Iss. 2, pp. 241-243
Open Access
Retinal Nerve Fiber Layer
Aparna Rao, Niladri B. Puhan
(2024), pp. 255-267
Closed Access
Automatic Classification of Slit-Lamp Photographs by Imaging Illumination
Ming-Chen Lu, Callie Deng, Miles F. Greenwald, et al.
Cornea (2023) Vol. 43, Iss. 4, pp. 419-424
Closed Access | Times Cited: 1
SELECTION OF THE ARTIFICIAL INTELLIGENCE COMPONENT FOR CONSULTATIVE AND DIAGNOSTIC INFORMATION TECHNOLOGY FOR GLAUCOMA DIAGNOSIS
Tetiana Hovorushchenko, Volodymyr Kysil
Computer Systems and Information Technologies (2023), Iss. 4, pp. 87-90
Open Access | Times Cited: 1
Commentary: Deciphering the code of machine learning – An ophthalmologist’s step by step guide to posterity
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Niranjan Karthik Senthil Kumar, et al.
Indian Journal of Ophthalmology (2023) Vol. 71, Iss. 2, pp. 433-435
Open Access
Commentary: Blockchain technology and its current importance in toxic anterior segment syndrome outbreak in India
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Prajnya Ray, et al.
Indian Journal of Ophthalmology (2023) Vol. 71, Iss. 3, pp. 1027-1029
Open Access
TIPRA – Three-Dimensional Integrated Progression Analyser: A New World Programme Exploring the Structure-Function Correlation in Glaucoma Using a Holistic 3-Dimensional Approach
Prasanna Venkatesh Ramesh, Anujeet Paul, Shruthy Vaishali Ramesh, et al.
IntechOpen eBooks (2023)
Open Access
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