G Divya

567 citations
7 papers · 373 · 1 hit paper · h-index 3

Impact in

Papers in

Journals
International Journal of Recent Technology and Engineering (IJRTE) (1 paper)
Partner nations
India

In The Last Decade

G Divya

5 papers receiving 354 citations

G Divya's Hit Papers

Feature Extraction using Convolution Neural Networks (CNN) and Deep Learning 2018 · 364 citations
3640+2+5Years since publication100200300

Peers

G Divya
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 106
  • Analytical Chemistry 29
  • Media Technology 26
  • Human-Computer Interaction 14
  • Artificial Intelligence 78
Replace R Meghana with:
R Meghana India
Hussam Qassim United States
Hyunjae Lee South Korea
Pavlo Radiuk Ukraine
Scott Krig United States
Afef Abdelkrim Tunisia
Mohammadreza Iman United States
Meenakshi M. Pawar India
Muhammad Kashif Pakistan
M. Balasubramanian India
G Divya relative to R Meghana India R Meghana's profile →
Citations per field
00.5×1.5×
R Meghana · 1×
Citations per year

Countries citing papers authored by G Divya

Since Specialization
Citations

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

Fields of papers citing papers by G Divya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside G Divya, 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 G Divya Line = papers co-authored together G Divya links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Feature Extraction using Convolution Neural Networks (CNN) and Deep Learning
Hit paper breakdown →
2018364
2 20233
3 20172
4 20242
5 20201
6 20241
7 20240

About G Divya

G Divya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 7 papers that have together received 373 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (2 papers), Advanced Neural Network Applications (2 papers), Imbalanced Data Classification Techniques (1 paper), Optical Coherence Tomography Applications (1 paper), Artificial Intelligence in Healthcare (1 paper), Image Enhancement Techniques (1 paper), Advanced Battery Technologies Research (1 paper) and Advanced DC-DC Converters (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Analytical Chemistry (29 citations), Media Technology (26 citations), Human-Computer Interaction (14 citations) and Artificial Intelligence (78 citations). G Divya has collaborated with scholars based in India. Frequent co-authors include Mohana, R Meghana, SM Apoorva, Akshay Kumar, R. Sivakumar and S. Sridharan. Their work appears in journals such as International Journal of Recent Technology and Engineering (IJRTE).

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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