Veena Mayya

614 total citations
32 papers, 374 citations indexed

About

Veena Mayya is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Artificial Intelligence. According to data from OpenAlex, Veena Mayya has authored 32 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Ophthalmology and 9 papers in Artificial Intelligence. Recurrent topics in Veena Mayya's work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (6 papers) and Machine Learning in Healthcare (5 papers). Veena Mayya is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (6 papers) and Machine Learning in Healthcare (5 papers). Veena Mayya collaborates with scholars based in India, United States and Australia. Veena Mayya's co-authors include S. Sowmya Kamath, Radhika M. Pai, M. M. Manohara Pai, U. Rajendra Acharya, Shubham Agrawal, Gokul Krishnan, Jayakumar Jeganathan, Preetham Kumar, Prabal Datta Barua and Christian King and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.

In The Last Decade

Veena Mayya

27 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Veena Mayya India 9 166 148 83 71 67 32 374
Amitojdeep Singh Canada 7 199 1.2× 211 1.4× 12 0.1× 143 2.0× 61 0.9× 9 396
Nancy M. Salem Egypt 12 606 3.7× 326 2.2× 18 0.2× 131 1.8× 268 4.0× 45 914
Sarah Mazhar China 9 120 0.7× 220 1.5× 12 0.1× 90 1.3× 97 1.4× 15 397
Zaka Ur Rehman Malaysia 8 265 1.6× 197 1.3× 7 0.1× 90 1.3× 117 1.7× 22 488
Gür Emre Güraksın Türkiye 11 105 0.6× 116 0.8× 8 0.1× 58 0.8× 83 1.2× 28 311
Wafaa M. Shalash Saudi Arabia 6 210 1.3× 454 3.1× 34 0.4× 231 3.3× 79 1.2× 14 568
Mete Yağanoğlu Türkiye 10 48 0.3× 68 0.5× 8 0.1× 11 0.2× 79 1.2× 35 252
Nudrat Nida Pakistan 10 162 1.0× 65 0.4× 31 0.4× 5 0.1× 188 2.8× 23 436
Marcus Bloice Austria 9 78 0.5× 68 0.5× 7 0.1× 10 0.1× 77 1.1× 15 292
Charturong Tantibundhit Thailand 9 82 0.5× 97 0.7× 31 0.4× 52 0.7× 121 1.8× 53 346

Countries citing papers authored by Veena Mayya

Since Specialization
Citations

This map shows the geographic impact of Veena Mayya's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Veena Mayya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veena Mayya more than expected).

Fields of papers citing papers by Veena Mayya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veena Mayya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Veena Mayya. The network helps show where Veena Mayya may publish in the future.

Co-authorship network of co-authors of Veena Mayya

This figure shows the co-authorship network connecting the top 25 collaborators of Veena Mayya. A scholar is included among the top collaborators of Veena Mayya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Veena Mayya. Veena Mayya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mayya, Veena, et al.. (2025). Application of machine learning to predict periodontal disease in US adults: A cross-sectional analysis of NHANES 2009–2014. Health Informatics Journal. 31(4). 1227879993–1227879993.
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Pai, M. M. Manohara, Veena Mayya, Amitabha Bhattacharyya, et al.. (2025). A hybrid approach to anomaly detection in industrial multi-sensor data streams. Heliyon. 11(15). e43965–e43965.
4.
Mayya, Veena, et al.. (2024). Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United States. Health Services Research and Managerial Epidemiology. 11. 2282299804–2282299804. 4 indexed citations
5.
Kumar, Preetham, et al.. (2024). FFA-Lens: Lesion detection tool for chronic ocular diseases in Fluorescein angiography images. SoftwareX. 26. 101646–101646. 2 indexed citations
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Kumar, Preetham, et al.. (2023). Fuzzy Logic-Based System for Identifying the Severity of Diabetic Macular Edema from OCT B-Scan Images Using DRIL, HRF, and Cystoids. Diagnostics. 13(15). 2550–2550. 4 indexed citations
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Mayya, Veena, et al.. (2023). Multi-task deep neural network models for learning COVID-19 disease representations from multimodal data. International Journal of Medical Engineering and Informatics. 15(6). 501–515. 2 indexed citations
11.
Kumar, Preetham, et al.. (2023). Generating OCT B-Scan DME images using optimized Generative Adversarial Networks (GANs). Heliyon. 9(8). e18773–e18773. 8 indexed citations
12.
Mayya, Veena, et al.. (2023). Real-Time Web Application to Classify Diabetic Foot Ulcer. 1–7. 3 indexed citations
13.
Mayya, Veena, et al.. (2023). Anomaly Detection for Highly Imbalanced Data–an Empirical Analysis. 99. 1–5. 1 indexed citations
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Agrawal, Shubham, et al.. (2022). Content-based medical image retrieval system for lung diseases using deep CNNs. International Journal of Information Technology. 14(7). 3619–3627. 40 indexed citations
16.
Mayya, Veena, et al.. (2021). Automated microaneurysms detection for early diagnosis of diabetic retinopathy: A Comprehensive review. SHILAP Revista de lepidopterología. 1. 100013–100013. 45 indexed citations
17.
Mayya, Veena, et al.. (2021). Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries. Future Generation Computer Systems. 118. 374–391. 17 indexed citations
18.
Mayya, Veena, et al.. (2021). Deep Learning based detection of Diabetic Retinopathy from Inexpensive fundus imaging techniques. 2016. 1–6. 3 indexed citations
19.
Mayya, Veena, et al.. (2017). Parallel Implementation of Rotation Visual Cryptography on GPU using CUDA. 3. 62–65. 1 indexed citations
20.
Mayya, Veena, Radhika M. Pai, & M. M. Manohara Pai. (2016). Combining temporal interpolation and DCNN for faster recognition of micro-expressions in video sequences. 699–703. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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