Tripty Singh

2.2k total citations
141 papers, 1.1k citations indexed

About

Tripty Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tripty Singh has authored 141 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 46 papers in Artificial Intelligence and 43 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tripty Singh's work include AI in cancer detection (32 papers), Brain Tumor Detection and Classification (24 papers) and COVID-19 diagnosis using AI (19 papers). Tripty Singh is often cited by papers focused on AI in cancer detection (32 papers), Brain Tumor Detection and Classification (24 papers) and COVID-19 diagnosis using AI (19 papers). Tripty Singh collaborates with scholars based in India, United States and Italy. Tripty Singh's co-authors include Rekha R Nair, Tina Babu, Deepa Gupta, Prakash Duraisamy, Peeta Basa Pati, Deepa Gupta, Ravi C. Nayar, Mohammed Zakariah, Xiaohui Yuan and Yousef Ajami Alotaibi and has published in prestigious journals such as Scientific Reports, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Tripty Singh

120 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tripty Singh India 17 393 346 276 158 158 141 1.1k
Ghazanfar Latif Saudi Arabia 20 504 1.3× 304 0.9× 285 1.0× 134 0.8× 273 1.7× 83 1.3k
Yuqing Song China 21 597 1.5× 358 1.0× 279 1.0× 80 0.5× 101 0.6× 138 1.3k
Muhammad Nazir Pakistan 21 452 1.2× 369 1.1× 212 0.8× 65 0.4× 147 0.9× 53 1.0k
Siti Noraini Sulaiman Malaysia 15 379 1.0× 369 1.1× 137 0.5× 137 0.9× 101 0.6× 106 932
N. Sri Madhava Raja India 16 488 1.2× 464 1.3× 543 2.0× 140 0.9× 239 1.5× 46 1.3k
Yambem Jina Chanu India 8 438 1.1× 262 0.8× 155 0.6× 137 0.9× 78 0.5× 21 1.0k
Anas Bilal China 18 324 0.8× 302 0.9× 492 1.8× 56 0.4× 131 0.8× 66 1.1k
Marriam Nawaz Pakistan 23 661 1.7× 547 1.6× 325 1.2× 65 0.4× 284 1.8× 49 1.8k
Ahmed M. Anter Egypt 18 307 0.8× 463 1.3× 245 0.9× 44 0.3× 124 0.8× 52 1.1k
Chaosheng Tang China 15 286 0.7× 389 1.1× 239 0.9× 54 0.3× 215 1.4× 55 1.1k

Countries citing papers authored by Tripty Singh

Since Specialization
Citations

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

Fields of papers citing papers by Tripty Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tripty Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Tripty Singh. A scholar is included among the top collaborators of Tripty Singh 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 Tripty Singh. Tripty Singh 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.
Singh, Tripty, et al.. (2025). Hybrid CNN-KNN Model for Image Annotation: Combining Deep Learning and Instance-Based Learning. Journal of The Institution of Engineers (India) Series B. 107(1). 353–371.
2.
Singh, Tripty, et al.. (2025). Boosting brain tumor detection with an optimized ResNet and explainability via Grad-CAM and LIME. Brain Informatics. 12(1). 33–33.
3.
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.
4.
Nair, Rekha R & Tripty Singh. (2025). Exploring Ensemble Architectures for Lung X-Ray Multi-Class Image Classification using CNN-LSTM. Procedia Computer Science. 258. 852–861. 1 indexed citations
5.
Vinay, Keshavamurthy, et al.. (2025). A Deep Learning Framework for Early Detection and Diagnosis of Plant Diseases. Procedia Computer Science. 258. 1435–1445. 1 indexed citations
6.
Singh, Tripty, et al.. (2024). Hybrid Deep Learning Framework for Bidirectional Medical Image Synthesis. 1–6. 1 indexed citations
7.
Nair, Rekha R, et al.. (2024). GAN-Alz: Synthetic Data Generation for Multiclass Alzheimer’s Classification. 1–6. 1 indexed citations
8.
9.
Singh, Tripty, et al.. (2024). Sentiment Analysis using YouTube Comments. 1–7.
10.
11.
Singh, Tripty, et al.. (2024). Emotion Recognition in Images: CNN-based Classification of Happy and Sad States. 1–5. 1 indexed citations
12.
Singh, Tripty, et al.. (2024). Federated Ensemble for Lung Pneumonia Detection. 1–7.
13.
Singh, Tripty, et al.. (2024). Interpretable Deep Learning for Skin Cancer Detection: Exploring LIME and SHAP. 1–7. 1 indexed citations
14.
Singh, Tripty, et al.. (2024). Deep Learning for Precise Brain Hemorrhage Detection from CT scans: A Web - Based Approach. 1–6. 1 indexed citations
15.
Singh, Tripty, et al.. (2022). Indian Crop Yield Prediction using LSTM Deep Learning Networks. 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT). 1–5. 4 indexed citations
16.
Pati, Peeta Basa, et al.. (2022). Comparative Analysis for Feature Extraction and Prediction of CKD Using Machine Learning. Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications. 15(2). 202–225. 1 indexed citations
17.
Nair, Rekha R, et al.. (2021). Multi-modal medical image fusion using LMF-GAN - A maximum parameter infusion technique. Journal of Intelligent & Fuzzy Systems. 41(5). 5375–5386. 43 indexed citations
18.
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
19.
Babu, Tina, et al.. (2018). Colon Cancer Prediction On Different Magnified Colon Biopsy Images. 277–280. 23 indexed citations
20.
Singh, Tripty, et al.. (2014). PCB Thermal Image Analysis using MATLAB. 8 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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