Fei Li

Materials Chemistry · Advanced Functional Materials · 2011–2021

A researcher in the Science corpus: 26 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dragan Damjanovic
  2. Shujun Zhang
  3. R. V. Rossel
  4. Scott V. Ollinger
  5. Beatriz Noheda
  6. H. Fu
  7. Xihong Hao
  8. H. T. Nguyen
  9. Zuo-Guang Ye
  10. Prasad S. Thenkabail

Who trusts Fei Li overall

  1. Shujun Zhang
  2. Yu Huang
  3. Hai-ying Liu
  4. Jiagang Wu
  5. Zetian Yang
  6. X. Lv
  7. Li Jin
  8. Hongliang Du
  9. Jinghui Gao
  10. H. Hao

Papers from Fei Li's perspective

Ordered by how strongly the researchers Fei Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals
  2. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
  3. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
  4. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
  5. Diagnosis tool for plant and crop N status in vegetative stage Theory and practices for crop N management
  6. Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration
  7. Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data (IEEE Transactions on Geoscience and Remote Sensing)
  8. Synchronizing N Supply from Soil and Fertilizer and N Demand of Winter Wheat by an Improved Nmin Method (Nutrient Cycling in Agroecosystems)
  9. Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages (Precision Agriculture)
  10. Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat

Their papers