Tina Babu

809 total citations
83 papers, 359 citations indexed

About

Tina Babu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tina Babu has authored 83 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tina Babu's work include AI in cancer detection (15 papers), IoT-based Smart Home Systems (6 papers) and Digital Imaging for Blood Diseases (5 papers). Tina Babu is often cited by papers focused on AI in cancer detection (15 papers), IoT-based Smart Home Systems (6 papers) and Digital Imaging for Blood Diseases (5 papers). Tina Babu collaborates with scholars based in India, United States and Malaysia. Tina Babu's co-authors include Tripty Singh, Rekha R Nair, Deepa Gupta, Deepa Gupta, S Kishore, Mohammed Zakariah, Yousef Ajami Alotaibi, Prakash Duraisamy, Vishal Mehra and Ashish Kumar Mandal and has published in prestigious journals such as Applied Sciences, Journal of Intelligent & Fuzzy Systems and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Tina Babu

51 papers receiving 343 citations

Peers

Tina Babu
Tina Babu
Citations per year, relative to Tina Babu Tina Babu (= 1×) peers Saif Ur Rehman Khan

Countries citing papers authored by Tina Babu

Since Specialization
Citations

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

Fields of papers citing papers by Tina Babu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Babu

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Babu. A scholar is included among the top collaborators of Tina Babu 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 Tina Babu. Tina Babu 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.
Babu, Tina, et al.. (2025). Secure Data Embedding in Digital Images: Enhancing Covert Communication with LSB-Based Techniques. Procedia Computer Science. 258. 2091–2100.
2.
4.
Babu, Tina, et al.. (2025). Bayesian Network for Weather Prediction. 1–6.
5.
Nair, Rekha R, Tina Babu, & Tripty Singh. (2025). Unraveling Dementia Severity: A Deep Learning Approach for Brain MR Image-Based Prediction and Misclassification Analysis. Procedia Computer Science. 258. 1199–1208.
6.
Nair, Rekha R & Tina Babu. (2025). Evaluating Feature-Based Image Registration Techniques for Aeroplane and Brain MRI Images using Projective Transformation. Procedia Computer Science. 259. 1662–1671. 2 indexed citations
7.
Babu, Tina, Rekha R Nair, S. Kishore, & Sheila Mahapatra. (2025). Enhancing Early Diagnosis of Autism Spectrum Disorder Using a Bayesian-Optimized Random Forest Algorithm. Procedia Computer Science. 258. 1576–1585. 1 indexed citations
8.
Babu, Tina, Rekha R Nair, & S Kishore. (2025). TPU-Accelerated Deep Learning for Accurate Satellite Land Classification. Procedia Computer Science. 258. 1179–1188. 2 indexed citations
10.
Babu, Tina, et al.. (2025). AgriFewNet—A Lightweight RGB Few-Shot Learning Model for Efficient Plant Disease Classification. Applied Sciences. 15(23). 12787–12787.
12.
Nair, Rekha R, et al.. (2024). GAN-Alz: Synthetic Data Generation for Multiclass Alzheimer’s Classification. 1–6. 1 indexed citations
13.
Nair, Rekha R, et al.. (2024). Webcam-Based OCR System with Text-to-Speech Conversion. 692–698.
14.
Nair, Rekha R, et al.. (2024). Fraud Detection in Monetary Transactions. 1–6. 1 indexed citations
15.
Babu, Tina, et al.. (2024). Predicting the Onset of Lifestyle Diseases Using Machine Learning Techniques. 329–333. 4 indexed citations
17.
Babu, Tina, et al.. (2023). Vocals - An App for Vocally Impaired using NLP Conversational Model. 1–6. 2 indexed citations
18.
Nair, Rekha R, et al.. (2022). Audio to Sign Language conversion using Natural Language Processing. 1–6. 4 indexed citations
19.
Babu, Tina, et al.. (2020). Prediction of Normal & Grades of Cancer on Colon Biopsy Images at Different Magnifications Using Minimal Robust Texture & Morphological Features. Indian Journal of Public Health Research & Development. 11(1). 695–701. 2 indexed citations
20.
Babu, Tina, et al.. (2018). Colon Cancer Prediction On Different Magnified Colon Biopsy Images. 277–280. 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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