Suneet Gupta

41 papers receiving 1.3k citations

Hit Papers

Human activity recognition in artificial intelligence framework: a narrative review 2022 · 176 citations
1760+2+4Years since publication100200300400

Peers

Suneet Gupta
Comparison fields: 5 of 130
  • Analytical Chemistry 254
  • Health Informatics 32
  • Plant Science 674
  • Computer Vision and Pattern Recognition 247
  • Radiology, Nuclear Medicine and Imaging 156
Replace Prabira Kumar Sethy with:
Prabira Kumar Sethy India
Shagun Sharma India
R. Karthik India
Kalpna Guleria India
Arnab Kumar Maji India
Kashif Javed Pakistan
Kemal Akyol Türkiye
Ümit Atila Türkiye
Muhammed Fahri Ünlerşen Türkiye
Atul Bansal India
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Suneet Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suneet Gupta Line = papers co-authored together Suneet Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network
Hit paper breakdown →
2020400
2
Development of Efficient CNN model for Tomato crop disease identification
Hit paper breakdown →
2020225
3
Human activity recognition in artificial intelligence framework: a narrative review
Hit paper breakdown →
2022176
4 202144
5 201941
6 202239
7 202135
8 202134
9 202133
10 201632
11 202130
12 201930
13 202326
14 202223
15 202221
16 202320
17 202218
18 202417
19 201915
20 202013

About Suneet Gupta

Suneet Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Plant Science, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (6 papers), COVID-19 diagnosis using AI (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Brain Tumor Detection and Classification (4 papers), Advanced Wireless Communication Technologies (4 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Analytical Chemistry (254 citations), Health Informatics (32 citations), Plant Science (674 citations), Computer Vision and Pattern Recognition (247 citations) and Radiology, Nuclear Medicine and Imaging (156 citations). Suneet Gupta has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Mohit Agarwal, Amit Sinha, Kanad K. Biswas, Siddhartha Kumar Arjaria, Jasjit S. Suri, Parisa Rashidi, Neha Gupta, Rajesh Kumar Pathak, Vanita Jain and Siva Skandha Sanagala. Their work appears in journals such as Computers in Biology and Medicine, Neural Computing and Applications, International Journal of Machine Learning and Cybernetics, Sustainable Computing Informatics and Systems and IEEE Transactions on Consumer Electronics.

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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