Puneet Mishra
Analytical Chemistry · 2015–2021
A researcher in the Science corpus: 10 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 67 citations into it; #1,133 of 1,254 by trust here, #570 by citations
- Plant Science — 51 citations into it
- Industrial and Manufacturing Engineering — 27 citations into it
- Biophysics — 22 citations into it
- Biomedical Engineering — 17 citations into it
- Animal Science and Zoology — 5 citations into it
- Artificial Intelligence — 5 citations into it
Whom Puneet Mishra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom Fearn
- Wouter M. Kouw
- Kerry Brian Walsh
- C. Pasquini
- Å. Rinnan
- E. Woltering
- Jean-Michel Roger
- Lei Li
- Marko Sarstedt
- George Alan Blackburn
Who trusts Puneet Mishra overall
Papers from Puneet Mishra's perspective
Ordered by how strongly the researchers Puneet Mishra trusts endorse each paper. Same corpus, a different order for every researcher.
- Multivariate calibration. (Journal of Chromatography A)
- A theory of learning from different domains
- Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
- Hyperspectral remote sensing of plant pigments. (Journal of Experimental Botany)
- Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content. II. Local PLS and nonlinear models
- A Review of Domain Adaptation without Target Labels (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- An introduction to domain adaptation and transfer learning (arXiv.org)
- Standardisation and Calibration Transfer for near Infrared Instruments: A Review
- Near infrared spectroscopy: A mature analytical technique with new perspectives - A review. (Analytica Chimica Acta)
- A review of variable selection methods in Partial Least Squares Regression
Their papers
- Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach (2021) — 105 citations
- Two standard-free approaches to correct for external influences on near-infrared spectra to make models widely applicable (2020) — 48 citations
- SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials (2020) — 64 citations
- Improved prediction of ‘Kent’ mango firmness during ripening by near-infrared spectroscopy supported by interval partial least square regression (2020) — 50 citations
- Non-destructive measurement of internal browning in mangoes using visible and near-infrared spectroscopy supported by artificial neural network analysis (2020) — 62 citations
- Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit (2020) — 57 citations
- New data preprocessing trends based on ensemble of multiple preprocessing techniques (2020) — 441 citations
- Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform (2018) — 154 citations
- Close range hyperspectral imaging of plants: A review (2017) — 280 citations
- Food traceability: New trends and recent advances. A review (2015) — 304 citations