Suneet Gupta

2.8k total citations · 3 hit papers
42 papers, 1.4k citations indexed

About

Suneet Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Suneet Gupta has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Suneet Gupta's work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (6 papers) and Advanced Wireless Communication Technologies (4 papers). Suneet Gupta is often cited by papers focused on Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (6 papers) and Advanced Wireless Communication Technologies (4 papers). Suneet Gupta collaborates with scholars based in India, United States and Italy. Suneet Gupta's co-authors include Mohit Agarwal, Amit Sinha, Kanad K. Biswas, Siddhartha Kumar Arjaria, Jasjit S. Suri, Vanita Jain, Rajesh Kumar Pathak, Parisa Rashidi, Neha Gupta and Siva Skandha Sanagala and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Suneet Gupta

41 papers receiving 1.3k citations

Hit Papers

ToLeD: Tomato Leaf Disease Detection using Convolution Ne... 2020 2026 2022 2024 2020 2020 2022 100 200 300 400
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.

  1. ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network
    2020 400 citations Mohit Agarwal, Amit Sinha et al. profile →
  2. Development of Efficient CNN model for Tomato crop disease identification
    2020 225 citations Mohit Agarwal, Suneet Gupta et al. profile →
  3. Human activity recognition in artificial intelligence framework: a narrative review
    2022 176 citations Neha Gupta, Suneet Gupta et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suneet Gupta India 18 674 254 247 188 156 42 1.4k
Arnab Kumar Maji India 17 522 0.8× 183 0.7× 129 0.5× 250 1.3× 81 0.5× 70 1.3k
R. Karthik India 21 477 0.7× 192 0.8× 295 1.2× 421 2.2× 312 2.0× 95 1.6k
Kashif Javed Pakistan 21 877 1.3× 458 1.8× 455 1.8× 414 2.2× 190 1.2× 38 1.9k
Prabira Kumar Sethy India 22 1.1k 1.6× 584 2.3× 214 0.9× 346 1.8× 356 2.3× 105 1.9k
Shagun Sharma India 16 314 0.5× 99 0.4× 121 0.5× 281 1.5× 250 1.6× 121 1.2k
Nashwa El-Bendary Egypt 17 178 0.3× 130 0.5× 292 1.2× 233 1.2× 127 0.8× 75 1.1k
Kalpna Guleria India 20 386 0.6× 136 0.5× 170 0.7× 426 2.3× 318 2.0× 156 1.9k
Kemal Akyol Türkiye 9 494 0.7× 198 0.8× 130 0.5× 151 0.8× 118 0.8× 47 1.0k
Harshadkumar B. Prajapati India 15 429 0.6× 257 1.0× 91 0.4× 166 0.9× 16 0.1× 42 1.1k
Vipul K. Dabhi India 15 431 0.6× 258 1.0× 89 0.4× 225 1.2× 15 0.1× 51 1.1k

Countries citing papers authored by Suneet Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Suneet Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suneet Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Suneet Gupta. A scholar is included among the top collaborators of Suneet Gupta 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 Suneet Gupta. Suneet Gupta 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.
Jabbari, Abdoh, et al.. (2024). Energy Maximization for Wireless Powered Communication Enabled IoT Devices With NOMA Underlaying Solar Powered UAV Using Federated Reinforcement Learning for 6G Networks. IEEE Transactions on Consumer Electronics. 70(1). 3926–3939. 17 indexed citations
2.
Agarwal, Mohit, Suneet Gupta, & Kanad K. Biswas. (2023). Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model. International Journal of Machine Learning and Cybernetics. 14(7). 2367–2383. 10 indexed citations
3.
Gupta, Suneet, et al.. (2023). Feature Selection in High Dimensional Data: A Review. Lecture notes in networks and systems. 703–717. 4 indexed citations
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Teji, Jagjit S., et al.. (2022). NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death. Computers in Biology and Medicine. 147. 105639–105639. 23 indexed citations
8.
Gupta, Suneet, et al.. (2022). A Metaheuristic Autoencoder Deep Learning Model for Intrusion Detector System. Mathematical Problems in Engineering. 2022. 1–11. 9 indexed citations
9.
Gupta, Neha, Suneet Gupta, Rajesh Kumar Pathak, et al.. (2022). Human activity recognition in artificial intelligence framework: a narrative review. Artificial Intelligence Review. 55(6). 4755–4808. 176 indexed citations breakdown →
10.
Degadwala, Sheshang, et al.. (2022). IOT Based Deep Learning framework to Diagnose Breast Cancer over Pathological Clinical Data. 731–735. 1 indexed citations
11.
Agarwal, Mohit, Suneet Gupta, Mainak Biswas, & Deepak Garg. (2022). Compression and acceleration of convolution neural network: a Genetic Algorithm based approach. Journal of Ambient Intelligence and Humanized Computing. 14(10). 13387–13397. 7 indexed citations
12.
Agarwal, Mohit, et al.. (2022). Differential Evolution based compression of CNN for Apple fruit disease classification. 76–82. 8 indexed citations
13.
Gupta, Raghav, et al.. (2021). A study to assess the impact of lockdown on vaccination among people visiting for routine immunization of children to Urban Training Health Centre. National Journal of Physiology Pharmacy and Pharmacology. 11(7). 1–1. 3 indexed citations
14.
Suri, Jasjit S., Sushant Agarwal, Suneet Gupta, et al.. (2021). Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE Journal of Biomedical and Health Informatics. 25(11). 4128–4139. 33 indexed citations
15.
Saba, Luca, Siva Skandha Sanagala, Suneet Gupta, et al.. (2021). Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system. International journal of cardiac imaging. 37(5). 1511–1528. 44 indexed citations
16.
Saba, Luca, Siva Skandha Sanagala, Suneet Gupta, et al.. (2021). A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 30 indexed citations
17.
Sanagala, Siva Skandha, Andrew Nicolaides, Suneet Gupta, et al.. (2021). A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. Computers in Biology and Medicine. 141. 105131–105131. 34 indexed citations
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Agarwal, Mohit, Vijay Kumar Bohat, Mohd Dilshad Ansari, et al.. (2019). A Convolution Neural Network based approach to detect the disease in Corn Crop. 176–181. 41 indexed citations
20.
Gupta, Suneet, et al.. (2016). COMBINING LAPLACIAN AND SOBEL GRADIENT FOR GREATER SHARPENING. SHILAP Revista de lepidopterología. 6(4). 1239–1243. 2 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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