Suneet Kumar Gupta

1.7k total citations
44 papers, 801 citations indexed

About

Suneet Kumar Gupta is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Suneet Kumar Gupta has authored 44 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Suneet Kumar Gupta's work include Energy Efficient Wireless Sensor Networks (7 papers), Smart Agriculture and AI (6 papers) and Energy Harvesting in Wireless Networks (4 papers). Suneet Kumar Gupta is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Smart Agriculture and AI (6 papers) and Energy Harvesting in Wireless Networks (4 papers). Suneet Kumar Gupta collaborates with scholars based in India, United States and Italy. Suneet Kumar Gupta's co-authors include Prasanta K. Jana, Pratyay Kuila, Mohit Agarwal, Kanad K. Biswas, Tanveer Hussain, Zulfiqar Ahmad Khan, Sung Wook Baik, Hikmat Yar, Mi Young Lee and Fath U Min Ullah and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Neural Computing and Applications.

In The Last Decade

Suneet Kumar Gupta

34 papers receiving 759 citations

Peers

Suneet Kumar Gupta
N. M. Abdul Latiff Malaysia
Priti Maheshwary India
Akashdeep Sharma India
Smita Sharma India
Yuxiu Hua China
El‐Bay Bourennane France
Javed Iqbal Bangash Pakistan
Suresh Kallam India
Ningxin Zheng China
Donglin Zhu China
N. M. Abdul Latiff Malaysia
Suneet Kumar Gupta
Citations per year, relative to Suneet Kumar Gupta Suneet Kumar Gupta (= 1×) peers N. M. Abdul Latiff

Countries citing papers authored by Suneet Kumar Gupta

Since Specialization
Citations

This map shows the geographic impact of Suneet Kumar 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 Kumar 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 Kumar Gupta more than expected).

Fields of papers citing papers by Suneet Kumar Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suneet Kumar Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Suneet Kumar Gupta. A scholar is included among the top collaborators of Suneet Kumar 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 Kumar Gupta. Suneet Kumar 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.
Gupta, Suneet Kumar, et al.. (2025). Natural Language Generation in AI: Developing Human-Like Text Through Deep Learning. 1411–1415. 1 indexed citations
2.
Gupta, Suneet Kumar, et al.. (2024). A 2-level meta-heuristic aware adaptive watershed technique based optimized convolutional deep neural network for lung cancer segmentation and classification using explainable AI. Biomedical Signal Processing and Control. 103. 107395–107395. 1 indexed citations
3.
Gupta, Suneet Kumar, M. Suresh, Luca Saba, et al.. (2024). Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review. Artificial Intelligence Review. 57(9). 17 indexed citations
4.
Agarwal, Mohit, et al.. (2024). The efficient classification of breast cancer on low-power IoT devices: A study on genetically evolved U-Net. Computers in Biology and Medicine. 183. 109296–109296.
5.
Shrivastava, Rajesh, et al.. (2024). A Generalized Federated Learning Approach for Robust Crop Disease Classification Across Diverse Farms. 78–83. 1 indexed citations
6.
Kaliyar, Rohit Kumar, et al.. (2024). Lung Cancer Diagnosis using a light weight deep learning model. 1 indexed citations
7.
Gupta, Suneet Kumar, et al.. (2024). Human activity recognition using CNN and LSTM for inertial sensors activity data. AIP conference proceedings. 3072. 20019–20019. 2 indexed citations
8.
Agarwal, Mohit, Suneet Kumar Gupta, & Kanad K. Biswas. (2023). Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization. Neural Computing and Applications. 35(16). 11833–11846. 15 indexed citations
9.
Garg, Deepak, et al.. (2023). Advanced Computing. Communications in computer and information science. 1 indexed citations
10.
Garg, Deepak, et al.. (2023). Advanced Computing. Communications in computer and information science. 2 indexed citations
11.
Kumar, Ashish, Suneet Kumar Gupta, Mrinalini Bhagawati, et al.. (2023). Artificial intelligence bias in medical system designs: a systematic review. Multimedia Tools and Applications. 83(6). 18005–18057. 18 indexed citations
12.
Garg, Deepak, et al.. (2022). Advanced Computing. Communications in computer and information science.
13.
14.
Khan, Mohammad Monirujjaman, et al.. (2021). Development of Web and Mobile Based Smart Online Healthcare System. 365–370. 5 indexed citations
15.
Sanagala, Siva Skandha, Andrew Nicolaides, Suneet Kumar Gupta, et al.. (2021). Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification. Diagnostics. 11(11). 2109–2109. 29 indexed citations
16.
17.
Gupta, Suneet Kumar, et al.. (2016). Implementing Blind De-convolution with Weights on X-ray Images for Lesser Ringing Effect. International Journal of Image Graphics and Signal Processing. 8(8). 30–36.
18.
Gupta, Suneet Kumar, et al.. (2016). Load frequency control using BAT algorithm. 8. 1–5. 1 indexed citations
19.
Shankar, Gauri, et al.. (2016). Study of load frequency control by using differential evolution algorithm. 73. 1–5. 1 indexed citations
20.
Gupta, Suneet Kumar, et al.. (2011). Cross Lingual Information Retrieval With SMT And Query Mining. 2(5). 33–39. 4 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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