Standout Papers

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using... 2020 2026 2022 2024513
  1. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (2020)
    Michael Roberts, Derek Driggs et al. Research Explorer (The University of Manchester)
  2. Using machine learning approaches for multi-omics data analysis: A review (2021)
    Parminder Singh Reel, Smarti Reel et al. Biotechnology Advances

Immediate Impact

1 by Nobel laureates 6 from Science/Nature 62 standout
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Citing Papers

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5 intermediate papers

Works of Emily Jefferson being referenced

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
2020 Standout

Author Peers

Author Last Decade Papers Cites
Emily Jefferson 413 259 55 359 31 1.2k
Ken Asada 495 193 28 297 44 1.2k
Abubakar Abid 517 497 44 295 19 1.5k
Bryan He 271 302 68 607 26 1.4k
Pegah Khosravi 297 331 31 312 23 1.1k
Saman Zeeshan 299 212 102 166 27 1.1k
Juan Zhao 284 336 145 199 38 1.5k
Neel S. Madhukar 503 165 21 205 27 1.1k
Zeeshan Ahmed 469 262 112 191 76 1.5k
Jianning Li 293 153 24 184 84 1.3k
Tong Li 299 326 72 249 46 1.0k

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2026