Standout Papers

Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review... 2021 2026 2022 2024271
  1. Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review (2021)
    Dhritiman Saha, Annamalai Manickavasagan Current Research in Food Science

Immediate Impact

49 standout
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Citing Papers

AI-driven deep learning framework for shelf life prediction of edible mushrooms
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A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
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7 intermediate papers

Works of Dhritiman Saha being referenced

Quantitative detection of metanil yellow adulteration in chickpea flour using line-scan near-infrared hyperspectral imaging with partial least square regression and one-dimensional convolutional neural network
2023
Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review
2021 Standout

Author Peers

Author Last Decade Papers Cites
Dhritiman Saha 108 246 134 17 450
Rui Kang 68 179 108 20 377
Amanda Teixeira Badaró 57 234 110 15 376
Lankapalli Ravikanth 178 361 131 8 491
Janos Keresztes 196 326 121 19 496
Chaoxin Zheng 109 309 140 13 497
Hui Xiao 185 317 103 24 446
Ainara López-Maestresalas 151 325 129 29 477
N. Wang 124 344 153 7 450
Hyungjin Bae 198 280 91 14 446
Oscar Leonardo García-Navarrete 181 335 136 14 473

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2026