T. Saranya

675 total citations · 2 hit papers
16 papers, 399 citations indexed

About

T. Saranya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, T. Saranya has authored 16 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in T. Saranya's work include AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (2 papers) and Network Security and Intrusion Detection (2 papers). T. Saranya is often cited by papers focused on AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (2 papers) and Network Security and Intrusion Detection (2 papers). T. Saranya collaborates with scholars based in India, Malaysia and Vietnam. T. Saranya's co-authors include C. Deisy, S. Sridevi, M.K.A. Ahamed Khan, Tran Duc Chung, Kalaiarasi Sonai Muthu Anbananthen, S. Sridevi, K. Kousalya, Saru Kumari, R. Parvathi and A. Sheik Abdullah and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Computers in Biology and Medicine and Materials Today Proceedings.

In The Last Decade

T. Saranya

12 papers receiving 373 citations

Hit Papers

align trajectories sort by overperformance

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.

Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review

2020 251 citations T. Saranya, S. Sridevi et al. Procedia Computer Science profile →
A comparative study of deep learning and Internet of Things for precision agriculture

2023 114 citations T. Saranya, C. Deisy et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Saranya India	5	222	192	126	78	41	16	399
Pranav M. Pawar United Arab Emirates	13	250 1.1×	148 0.8×	113 0.9×	106 1.4×	52 1.3×	64	470
Kim-Hung Le Vietnam	11	267 1.2×	185 1.0×	162 1.3×	168 2.2×	48 1.2×	43	542
Facundo Bromberg Argentina	9	84 0.4×	144 0.8×	49 0.4×	93 1.2×	30 0.7×	20	297
B.L. Sharma India	6	239 1.1×	191 1.0×	128 1.0×	42 0.5×	34 0.8×	21	335
Heba F. Eid Egypt	8	101 0.5×	156 0.8×	48 0.4×	44 0.6×	16 0.4×	23	282
Albert Yu United States	6	271 1.2×	62 0.3×	77 0.6×	55 0.7×	28 0.7×	12	550
Abdullah M. Baqasah Saudi Arabia	11	107 0.5×	106 0.6×	35 0.3×	30 0.4×	80 2.0×	36	360
Hongda Li China	12	253 1.1×	195 1.0×	80 0.6×	12 0.2×	75 1.8×	45	449
Junzheng Shi China	10	248 1.1×	269 1.4×	119 0.9×	16 0.2×	54 1.3×	25	335

Countries citing papers authored by T. Saranya

Since Specialization

Citations

This map shows the geographic impact of T. Saranya'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 T. Saranya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Saranya more than expected).

Fields of papers citing papers by T. Saranya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Saranya

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

All Works

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16 of 16 papers shown

Parvathi, R., et al.. (2025). ConvLSTM for Flood Forecasting: A Deep Neural Network Model for Integrated Temporal and Spatial Flood Analysis. 860–867.

Saranya, T., et al.. (2024). Efficient agricultural pest classification using vision transformer with hybrid pooled multihead attention. Computers in Biology and Medicine. 177. 108584–108584. 9 indexed citations

Saranya, T., et al.. (2024). A Secure Framework for MIoT: TinyML-powered Emergency Alerts and Intrusion Detection for Secure Real-time Monitoring. 13–21. 3 indexed citations

Saranya, T., C. Deisy, S. Sridevi, & Kalaiarasi Sonai Muthu Anbananthen. (2023). A comparative study of deep learning and Internet of Things for precision agriculture. Engineering Applications of Artificial Intelligence. 122. 106034–106034. 114 indexed citations breakdown →

Saranya, T., et al.. (2023). FORECAST OF EMPLOYEE ATTRITION IN BIG DATA TO SUPPORT PEOPLE ANALYTICS. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. 7(10). 1–11. 2 indexed citations

Saranya, T., et al.. (2023). Stress Detection using RNN Algorithm. 10. 877–881. 1 indexed citations

Saranya, T., C. Deisy, & S. Sridevi. (2023). Classical-Quantum Computing Model with MobileNet for Precise Pest Classification. 1–5.

Saranya, T., et al.. (2021). Deep Learning Techniques for Brain Tumor Diagnosis: A Review. 12. 1–6. 1 indexed citations

Kousalya, K. & T. Saranya. (2021). Improved the detection and classification of breast cancer using hyper parameter tuning. Materials Today Proceedings. 81. 547–552. 8 indexed citations

10.

Saranya, T., S. Sridevi, C. Deisy, Tran Duc Chung, & M.K.A. Ahamed Khan. (2020). Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review. Procedia Computer Science. 171. 1251–1260. 251 indexed citations breakdown →

11.

Saranya, T., et al.. (2019). Sentiment Analysis Of Movie Review Using Data Analytics Techniques. 2(9). 48–52. 2 indexed citations

12.

Abdullah, A. Sheik, et al.. (2019). Algorithm and Design Techniques – A Survey.

13.

Saranya, T., et al.. (2017). ASIC implementation of 64-bit comparator using reversible logic. 1–3. 3 indexed citations

14.

Saranya, T.. (2013). Mining Features and Ranking Products From Online Customer Reviews. 2(10). 4 indexed citations

15.

Saranya, T., et al.. (2012). Gabor Wavelet based Detection of Architectural Distortion and Mass in Mammographic Images and Classification using Adaptive Neuro Fuzzy Inference System. 46(22). 37–40.

16.

Kumari, Saru, et al.. (2011). Assured Protection & Veracity for Cloud Data Using Merkle Hash Tree Algorithm. Indian Journal Of Applied Research. 3(3). 124–126. 1 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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