Saravanan Srinivasan

896 total citations · 1 hit paper
22 papers, 388 citations indexed

About

Saravanan Srinivasan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Saravanan Srinivasan has authored 22 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Neurology. Recurrent topics in Saravanan Srinivasan's work include Brain Tumor Detection and Classification (6 papers), Advanced Neural Network Applications (6 papers) and Smart Agriculture and AI (5 papers). Saravanan Srinivasan is often cited by papers focused on Brain Tumor Detection and Classification (6 papers), Advanced Neural Network Applications (6 papers) and Smart Agriculture and AI (5 papers). Saravanan Srinivasan collaborates with scholars based in India, Afghanistan and Ethiopia. Saravanan Srinivasan's co-authors include Sandeep Kumar Mathivanan, Mohd Asif Shah, Prabhu Jayagopal, Hariharan Rajadurai, Basu Dev Shivahare, V. Muthukumaran, J. Chinna Babu, Parasuraman Karthikeyan, Norbert Herencsár and P. Della Monica and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Saravanan Srinivasan

20 papers receiving 371 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A hybrid deep CNN model for brain tumor image multi-classification

2024 51 citations Saravanan Srinivasan, Sandeep Kumar Mathivanan et al. BMC Medical Imaging profile →

Peers

Countries citing papers authored by Saravanan Srinivasan

Since Specialization

Citations

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

Fields of papers citing papers by Saravanan Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravanan Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Saravanan Srinivasan. A scholar is included among the top collaborators of Saravanan Srinivasan 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 Saravanan Srinivasan. Saravanan Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Robust CRW crops leaf disease detection and classification in agriculture using hybrid deep learning models 2025 ·Plant Methods ·(unknown), (unknown), Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, Mohd Asif Shah	6
2	A secure hybrid deep learning framework for brain tumor detection and classification 2025 ·Journal Of Big Data ·Sandeep Kumar Mathivanan, Saravanan Srinivasan, (unknown), (unknown), (unknown), Mohd Asif Shah	3
3	DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI 2025 ·BMC Plant Biology ·Saravanan Srinivasan, (unknown), (unknown), (unknown), Sandeep Kumar Mathivanan, (unknown)	1
4	Sugarcane leaf disease classification using deep neural network approach 2025 ·BMC Plant Biology ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, Hariharan Rajadurai, (unknown), Mohd Asif Shah	8
5	A multimodal machine learning model for bipolar disorder mania classification: Insights from acoustic, linguistic, and visual cues 2025 ·Intelligence-Based Medicine ·(unknown), (unknown), Sandeep Kumar Mathivanan, Saravanan Srinivasan, Basu Dev Shivahare, (unknown)	0
6	Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability 2025 ·Scientific Reports ·(unknown), (unknown), Saravanan Srinivasan, Sandeep Kumar Mathivanan, Radha Raman Chandan, (unknown)	0
7	Corn leaf disease diagnosis: enhancing accuracy with resnet152 and grad-cam for explainable AI 2025 ·BMC Plant Biology ·(unknown), Saravanan Srinivasan, (unknown), Manu Pratap Singh, Sandeep Kumar Mathivanan, (unknown)	6
8	Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach 2024 ·BMC Medical Imaging ·(unknown), Saravanan Srinivasan, D Preethi, P. Della Monica, Sandeep Kumar Mathivanan, Mohd Asif Shah	17
9	Detection of Parkinson disease using multiclass machine learning approach 2024 ·Scientific Reports ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, (unknown), Basu Dev Shivahare, Mohd Asif Shah	32
10	Enhancing cervical cancer detection and robust classification through a fusion of deep learning models 2024 ·Scientific Reports ·Sandeep Kumar Mathivanan, (unknown), Saravanan Srinivasan, (unknown), Parasuraman Karthikeyan, Mohd Asif Shah	32
11	Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network 2024 ·BMC Medical Imaging ·Saravanan Srinivasan, (unknown), (unknown), Sandeep Kumar Mathivanan, (unknown), Mohd Asif Shah	14
12	A hybrid deep CNN model for brain tumor image multi-classification breakdown → 2024 ·BMC Medical Imaging ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare, Mohd Asif Shah	51
13	An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database 2023 ·Scientific Reports ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, (unknown), Prabhu Jayagopal, (unknown)	34
14	Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique 2023 ·Diagnostics ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, V. Muthukumaran, J. Chinna Babu, (unknown)	25
15	Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection 2023 ·Diagnostics ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, Prabhu Jayagopal, J. Chinna Babu, Adıtya Kumar Sahu	10
16	A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA 2023 ·Diagnostics ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, Prabhu Jayagopal, Muhammad Attique Khan, Areej Alasiry, Mehrez Marzougui, Anum Masood	5
17	Detection and classification of adult epilepsy using hybrid deep learning approach 2023 ·Scientific Reports ·Saravanan Srinivasan, (unknown), Sandeep Kumar Mathivanan, Hariharan Rajadurai, Prabhu Jayagopal, (unknown)	35
18	Detection and classification of brain tumor using hybrid deep learning models 2023 ·Scientific Reports ·(unknown), Saravanan Srinivasan, Sandeep Kumar Mathivanan, (unknown), Prabhu Jayagopal, (unknown)	53
19	Automated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 Algorithm 2023 ·Journal of Computer Science ·(unknown), Saravanan Srinivasan	4
20	Reliability Availability and Maintainability Study: A Business Perspective 2013 ·International Journal of Performability Engineering ·(unknown), (unknown), (unknown), Saravanan Srinivasan	3

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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