Vinay Kukreja

10.2k total citations · 4 hit papers
575 papers, 5.5k citations indexed

About

Vinay Kukreja is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vinay Kukreja has authored 575 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 327 papers in Plant Science, 95 papers in Analytical Chemistry and 89 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vinay Kukreja's work include Smart Agriculture and AI (298 papers), Plant Disease Management Techniques (96 papers) and Spectroscopy and Chemometric Analyses (94 papers). Vinay Kukreja is often cited by papers focused on Smart Agriculture and AI (298 papers), Plant Disease Management Techniques (96 papers) and Spectroscopy and Chemometric Analyses (94 papers). Vinay Kukreja collaborates with scholars based in India, United Arab Emirates and Iraq. Vinay Kukreja's co-authors include Rishabh Sharma, Shiva Mehta, Deepak Kumar, Sakshi Sakshi, Satvik Vats, Anupam Baliyan, Amit Gupta, Poonam Dhiman, Deepak Banerjee and Ankit Bansal and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Vinay Kukreja

452 papers receiving 5.5k citations

Hit Papers

A Novel Deep Learning Model for Detection of Severity Lev... 2022 2026 2023 2024 2022 2022 2023 2023 50 100 150
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. A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits
    2022 194 citations Vinay Kukreja et al. profile →
  2. Amalgamated convolutional long term network (CLTN) model for Lemon Citrus Canker Disease Multi-classification
    2022 192 citations Rishabh Sharma, Vinay Kukreja profile →
  3. Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach
    2023 88 citations Shiva Mehta, Vinay Kukreja et al. profile →
  4. Empowering Farmers with AI: Federated Learning of CNNs for Wheat Diseases Multi-Classification
    2023 74 citations Shiva Mehta, Vinay Kukreja et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinay Kukreja India 47 2.4k 865 762 694 418 575 5.5k
Elmer P. Dadios Philippines 29 1.2k 0.5× 500 0.6× 345 0.5× 1.1k 1.6× 304 0.7× 509 4.5k
Hafiz Tayyab Rauf United Kingdom 35 462 0.2× 1.0k 1.2× 196 0.3× 494 0.7× 266 0.6× 121 2.9k
Muhammad Fazal Ijaz South Korea 34 428 0.2× 1.2k 1.4× 172 0.2× 783 1.1× 645 1.5× 95 4.0k
Kristian Kersting Germany 36 676 0.3× 2.2k 2.6× 411 0.5× 571 0.8× 324 0.8× 229 4.5k
Yonis Gulzar Saudi Arabia 26 721 0.3× 337 0.4× 320 0.4× 273 0.4× 233 0.6× 109 1.9k
Muhammad Sharif Pakistan 49 1.7k 0.7× 2.4k 2.7× 854 1.1× 2.9k 4.2× 138 0.3× 137 7.2k
Yujian Li China 18 740 0.3× 688 0.8× 295 0.4× 505 0.7× 120 0.3× 105 2.5k
Jyotir Moy Chatterjee India 19 422 0.2× 590 0.7× 150 0.2× 279 0.4× 222 0.5× 68 2.2k
Ashish Khanna India 38 590 0.2× 1.7k 2.0× 219 0.3× 1.0k 1.5× 1.1k 2.6× 179 5.7k

Countries citing papers authored by Vinay Kukreja

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Kukreja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Kukreja

This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Kukreja. A scholar is included among the top collaborators of Vinay Kukreja 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 Vinay Kukreja. Vinay Kukreja 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.
Kukreja, Vinay, et al.. (2024). Comic exploration and Insights: Recent trends in LDA-Based recognition studies. Expert Systems with Applications. 255. 124732–124732. 7 indexed citations
2.
Goyal, Bhawna, Ayush Dogra, Mohammed Ahmed Mustafa, et al.. (2024). Image segmentation review: Theoretical background and recent advances. Information Fusion. 114. 102608–102608. 18 indexed citations
3.
Sharma, Rishabh & Vinay Kukreja. (2024). Image segmentation, classification and recognition methods for comics: A decade systematic literature review. Engineering Applications of Artificial Intelligence. 131. 107715–107715. 5 indexed citations
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Hariharan, Shanmugasundaram, et al.. (2024). Advancements in Liver Tumor Detection: A Comprehensive Review of Various Deep Learning Models. Computer Modeling in Engineering & Sciences. 142(1). 91–122.
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Kukreja, Vinay, et al.. (2024). Geranium Prognosis: Unveiling Floral Mysteries through CNN & SVM Fusion. 1–6. 1 indexed citations
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Banerjee, Deepak, et al.. (2024). Hybrid Modeling for Litchi Rust Disease Integral Phase Prediction. 52–57.
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Kukreja, Vinay, et al.. (2024). Rose Multiclassification: Harnessing Hybrid CNN and Random Forest Model. III. 38–41.
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Kukreja, Vinay, et al.. (2024). Innovative Innings: Exploring Cricket Shot Categories with CNN-SVM Methodologies. 1–6. 2 indexed citations
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Kukreja, Vinay, et al.. (2024). A Fine-Tuned DenseNet Model for an Efficient Maize Leaf Disease Classification. 1–5. 3 indexed citations
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Bhardwaj, Vivek, Mohamed Tahar Ben Othman, Vinay Kukreja, et al.. (2022). Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review. Applied Sciences. 12(9). 4419–4419. 51 indexed citations
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Kaur, Amanpreet, Gurpreet Singh, Vinay Kukreja, et al.. (2022). Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. Sensors. 22(21). 8174–8174. 65 indexed citations
20.
Kukreja, Vinay, et al.. (2021). Potato Blight: Deep Learning Model for Binary and Multi-Classification. 967–972. 58 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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