Ramya Mohan

474 total citations
22 papers, 118 citations indexed

About

Ramya Mohan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ramya Mohan has authored 22 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Ramya Mohan's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (5 papers). Ramya Mohan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (5 papers). Ramya Mohan collaborates with scholars based in India, Lebanon and Australia. Ramya Mohan's co-authors include V. Rajinikanth, Seifedine Kadry, Orawit Thinnukool, Arnab Majumdar, Mathiyazhagan Narayanan, David Taniar, N. Sri Madhava Raja, Robertas Damaševičius, Mohammed Rafi Shaik and Ramalingam Karthik Raja and has published in prestigious journals such as Biomolecules, Life and Mathematical Biosciences & Engineering.

In The Last Decade

Ramya Mohan

20 papers receiving 114 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramya Mohan India 6 49 38 23 22 15 22 118
Astri Handayani Indonesia 6 66 1.3× 24 0.6× 20 0.9× 33 1.5× 21 1.4× 32 127
Youssef Skandarani Canada 2 52 1.1× 50 1.3× 9 0.4× 45 2.0× 25 1.7× 2 136
Oscar Durán Colombia 2 83 1.7× 94 2.5× 12 0.5× 31 1.4× 11 0.7× 3 129
Yueyue Wang China 4 38 0.8× 13 0.3× 9 0.4× 26 1.2× 23 1.5× 5 80
Aliasghar Mortazi United States 3 81 1.7× 86 2.3× 15 0.7× 16 0.7× 20 1.3× 6 136
Naji Khosravan United States 3 74 1.5× 86 2.3× 10 0.4× 23 1.0× 17 1.1× 7 140
Patrick Ferdinand Christ Germany 3 81 1.7× 37 1.0× 9 0.4× 38 1.7× 29 1.9× 4 125
Chunliang Wang Sweden 5 53 1.1× 16 0.4× 14 0.6× 21 1.0× 26 1.7× 7 102
Fabián Narváez Colombia 5 101 2.1× 131 3.4× 16 0.7× 55 2.5× 24 1.6× 11 189
Obioma Pelka Germany 7 37 0.8× 54 1.4× 8 0.3× 46 2.1× 12 0.8× 17 104

Countries citing papers authored by Ramya Mohan

Since Specialization
Citations

This map shows the geographic impact of Ramya Mohan'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 Ramya Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Mohan more than expected).

Fields of papers citing papers by Ramya Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramya Mohan. 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 Ramya Mohan. The network helps show where Ramya Mohan may publish in the future.

Co-authorship network of co-authors of Ramya Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Mohan. A scholar is included among the top collaborators of Ramya Mohan 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 Ramya Mohan. Ramya Mohan 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.
Mohan, Ramya, et al.. (2025). Healthy/Glaucoma Fundus Retinal Image Classification using Butterfly Algorithm Optimized ResNet-Features. Procedia Computer Science. 258. 1804–1812. 1 indexed citations
2.
Mohan, Ramya & V. Rajinikanth. (2025). Normal/Stone Renal CT Slices Detection Using Deep-Learning with Ensemble Features. 1–6. 1 indexed citations
3.
Rajinikanth, V., Ramya Mohan, & Mathiyazhagan Narayanan. (2024). Deep Learning and Features Fusion for Colorectal Cancer Detection from Histopathology Images. 1406–1411. 2 indexed citations
4.
5.
Rajinikanth, V., Ramya Mohan, & Mathiyazhagan Narayanan. (2024). Parameter Estimation of PEM Fuel-Cell Using Brownian Butterfly Algorithm. 1–5.
6.
Mohan, Ramya, Mathiyazhagan Narayanan, & V. Rajinikanth. (2024). Cancer Region Segmentation in Pre-Processed Breast Ultrasound Image Using VGG16 Based UNet/SegNet. 1–6. 2 indexed citations
7.
Narayanan, Mathiyazhagan, Ramya Mohan, & V. Rajinikanth. (2024). Solar Cell Defect Detection using Deep-Learning Segmentation with Two-Fold Training. 168–172. 2 indexed citations
8.
Mohan, Ramya, S. Prabha, & V. Rajinikanth. (2024). Mitochondrial Network Segmentation from Fluorescence Microscopy Images using VGG-UNet. 1–4. 4 indexed citations
9.
10.
Mohan, Ramya, Robertas Damaševičius, David Taniar, N. Sri Madhava Raja, & V. Rajinikanth. (2024). Automatic Monkeypox Disease Detection from Preprocessed Images using MobileNetV2. Vytautas Magnus University. 1–4. 7 indexed citations
11.
Mohan, Ramya, N. Sri Madhava Raja, Robertas Damaševičius, et al.. (2024). Vision Transformer Based Diabetic Foot-Ulcer Detection: A Study. Vytautas Magnus University. 1–4. 4 indexed citations
12.
Mohan, Ramya, Ramalingam Karthik Raja, Mohammed Rafi Shaik, et al.. (2023). OralNet: Fused Optimal Deep Features Framework for Oral Squamous Cell Carcinoma Detection. Biomolecules. 13(7). 1090–1090. 15 indexed citations
13.
14.
Mohan, Ramya, et al.. (2023). Deep-Learning Segmentation and Recognition of Tooth in Thresholded Panoramic X-ray. 1–5. 4 indexed citations
15.
Mohan, Ramya, et al.. (2023). CNN Framework for Accurate Brain Tumour Segmentation from Enhanced MRI Slices. 1–5. 5 indexed citations
16.
Rajinikanth, V., et al.. (2023). Colon histology slide classification with deep-learning framework using individual and fused features. Mathematical Biosciences & Engineering. 20(11). 19454–19467. 6 indexed citations
17.
Mohan, Ramya, et al.. (2022). COMPARISON OF PROPOSED DCNN MODEL WITH STANDARD CNN ARCHITECTURES FOR RETINAL DISEASES CLASSIFICATION. PubMed. 29(3). e112–e122. 5 indexed citations
18.
19.
Mohan, Ramya, et al.. (2022). Comparison of Convolutional Neural Network for Classifying Lung Diseases from Chest CT Images. International Journal of Pattern Recognition and Artificial Intelligence. 36(16). 3 indexed citations
20.
Mohan, Ramya, Seifedine Kadry, V. Rajinikanth, Arnab Majumdar, & Orawit Thinnukool. (2022). Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm. Life. 12(11). 1848–1848. 23 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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