Shubhi Gupta

612 total citations
37 papers, 331 citations indexed

About

Shubhi Gupta is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shubhi Gupta has authored 37 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Shubhi Gupta's work include Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (5 papers) and IoT and Edge/Fog Computing (4 papers). Shubhi Gupta is often cited by papers focused on Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (5 papers) and IoT and Edge/Fog Computing (4 papers). Shubhi Gupta collaborates with scholars based in India, United Arab Emirates and United States. Shubhi Gupta's co-authors include Ashutosh Gupta, Sanjeev Thakur, Suman Avdhesh Yadav, Smita Sharma, Biswa Mohan Sahoo, Lipsa Das, Pradeep Kumar Kushwaha, Rakhi Singh, Garima Bhardwaj and Mamta Bansal and has published in prestigious journals such as Energy Conversion and Management, Multimedia Tools and Applications and Advances in computational intelligence and robotics book series.

In The Last Decade

Shubhi Gupta

34 papers receiving 318 citations

Peers

Shubhi Gupta

CNC

AI

EEE

IS

CVPR

R Santhakumar India

Noha A. Hikal Egypt

Ali Akbar Movassagh Iran

Sally M. Elghamrawy Egypt

Nidhi Sindhwani India

Kiran Sultan Saudi Arabia

Hamoud Alshammari Saudi Arabia

Keijo Haataja Finland

Shadi Basurra United Kingdom

Sahar F. Sabbeh Egypt

R Santhakumar India

Shubhi Gupta

140 ×1.4

CNC

31 ×0.5

AI

83 ×1.5

EEE

60 ×1.2

IS

27 ×0.5

CVPR

Citations per year, relative to Shubhi Gupta Shubhi Gupta (= 1×) peers R Santhakumar

Countries citing papers authored by Shubhi Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Shubhi Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubhi Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Shubhi Gupta. A scholar is included among the top collaborators of Shubhi 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 Shubhi Gupta. Shubhi Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Gupta, Shubhi, et al.. (2024). Application of Swarm Intelligence Techniques for Optimization in Speech-to-Text Translation Systems. 1140–1145. 4 indexed citations

2.

Gupta, Shubhi, et al.. (2024). Development a Novel Hybrid Deep Learning-Model for Brain Tumor Classification and Automated Diagnosis. 1–5. 7 indexed citations

3.

Patel, Pushpraj, Ioanna Dimitriou, Prasenjit Mondal, Omvir Singh, & Shubhi Gupta. (2024). Process optimisation and enviro-economic assessment of carbon-negative hydrogen production from biomass co-gasification. Energy Conversion and Management. 323. 119211–119211. 5 indexed citations

4.

Gupta, Shubhi, et al.. (2024). Design of Smart Parking System using IoT. 1–5. 1 indexed citations

5.

Gupta, Shubhi, et al.. (2024). Application of Zero-Shot Learning in Computer Vision for Biodiversity Conservation through Species Identification and Tracking. 1–6. 2 indexed citations

6.

Singh, Divya, et al.. (2024). A Systematic Review of Spiking Neural Networks and Their Applications. Advances in computational intelligence and robotics book series. 43–60.

7.

Mittal, Ruchi, et al.. (2023). Skin Cancer Detection Using Deep Block Convolutional Neural Networks. 1187–1191. 3 indexed citations

8.

Ranjan, S, et al.. (2023). Image Processing-Based Real-Time Detection and Tracking of Human. 1542–1547. 1 indexed citations

9.

Gupta, Shubhi, Sanjeev Thakur, & Ashutosh Gupta. (2023). Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image. Multimedia Tools and Applications. 83(12). 34291–34322. 12 indexed citations

10.

Kushwaha, Pradeep Kumar, et al.. (2023). Remote Sensing: A Comprehensive Overview of Principles and Applications. 101–105. 4 indexed citations

11.

Gupta, Shubhi, et al.. (2022). The Detection of IoT Botnet using Machine Learning on IoT-23 Dataset. 634–639. 16 indexed citations

12.

Gupta, Shubhi, Sanjeev Thakur, & Ashutosh Gupta. (2022). Optimized hybrid machine learning approach for smartphone based diabetic retinopathy detection. Multimedia Tools and Applications. 81(10). 14475–14501. 24 indexed citations

13.

Gupta, Shubhi, et al.. (2022). IoT enabled Primary Skin Cancer Prediction Using Pigmented Lesions. 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS). 1315–1319. 5 indexed citations

14.

Gupta, Shubhi, Sanjeev Thakur, & Ashutosh Gupta. (2022). Optimized Feature Selection Approach for Smartphone Based Diabetic Retinopathy Detection. 19. 350–355. 11 indexed citations

15.

Yadav, Suman Avdhesh, et al.. (2021). An Effective IoT Empowered Real-time Gas Detection System for Wireless Sensor Networks. 44–49. 34 indexed citations

16.

Gupta, Shubhi, Sanjeev Thakur, & Ashutosh Gupta. (2021). An enhancive Watershed transformation approach to segment Optic Disk from Smartphone Fundus Images. 188–191. 3 indexed citations

17.

Gupta, Shubhi, et al.. (2020). A Computer Vision Based Approach for Automated Traffic Management as a Smart City Solution. 1–6. 5 indexed citations

18.

Gupta, Shubhi, et al.. (2019). Enhancing Big Data Security using Elliptic Curve Cryptography. 1. 348–351. 14 indexed citations

19.

Sahoo, Biswa Mohan, et al.. (2019). ESRA: Enhanced Stable Routing Algorithm for Heterogeneous Wireless Sensor Networks. 148–152. 31 indexed citations

20.

Gupta, Shubhi, et al.. (2016). Emerging threats in mobile communication system. 41–44. 14 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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