Shahid Nawaz Khan

University of Alabama — United States

Environmental Science · Physical Sciences

11h-index576citations39works8.22yr avg
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Research Topics

Remote Sensing in Agriculture(14), Remote Sensing and LiDAR Applications(5), Adsorption and biosorption for pollutant removal(4), Spectroscopy and Chemometric Analyses(4), Soil Geostatistics and Mapping(4)

Publications39 total

Multi-dimensional optical remote sensing in agriculture: Spectral, angular, and spatial scaling for crop stress monitoring
Smart Agricultural Technology·2025· 2 citedOpen Access
Biosynthesis and Characterization of Silver Nanoparticles using <i>Vicia Narbonensis</i> Extract and its Antibacterial Efficacy
Planta Animalia·2025Open Access
Large Cerebellar Infarct Complicated with Acute Hydrocephalus Required Emergency VP Shunt: A Case Report
Pacific Journal of Spine & Neurosurgery·2025Open Access
Estimating Aboveground Biomass and Carbon Sequestration in Afforestation Areas Using Optical/SAR Data Fusion and Machine Learning
Remote Sensing·2025· 8 citedOpen Access
Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2025· 11 citedOpen Access
Using remotely sensed vegetation indices and multi-stream deep learning improves county-level corn yield predictions
European Journal of Agronomy·2024· 14 cited
Characterizing Forest Cover Dynamics in the Khyber Pakhtunkhwa Region Using Remote Sensing
2024· 1 cited
Wheat Fusarium Head Blight Disease Severity Estimation using UAS Multispectral Imagery and Machine Learning
2024
Design Principles for Enhancing Both Carrier Mobility and Stretchability in Polymer Semiconductors via Lewis Acid Doping
Advanced Materials·2024· 11 cited
Estimating afforestation related forest cover change using data fusion and machine learning
Environmental Research Communications·2024· 2 citedOpen Access
Efficient Sorting of Semiconducting Single‐Walled Carbon Nanotubes in Bio‐Renewable Solvents Through Main‐Chain Engineering of Conjugated Polymers
Small·2024· 6 cited
Using gross primary production data and deep transfer learning for crop yield prediction in the US Corn Belt
International Journal of Applied Earth Observation and Geoinformation·2024· 29 citedOpen Access
Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning
Frontiers in Plant Science·2024· 28 citedOpen Access
Removal of basic fuchsin from aqueous solution using polyacrylamide and gellan gum-based hydrogels
Chemical Papers·2024· 4 cited
Synthesis of Poly(GG-<i>co</i>-AAm-<i>co</i>-MAA), a Terpolymer Hydrogel for the Removal of Methyl Violet and Fuchsin Basic Dyes from Aqueous Solution
ACS Omega·2024· 7 citedOpen Access
Synthesis and characterization of copper nanoparticle-based hydrogel and its applications in catalytic reduction and adsorption of basic blue 3
Heliyon·2024· 8 citedOpen Access
Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting
Hungarian Geographical Bulletin·2024· 8 citedOpen Access
County-level corn yield prediction using supervised machine learning
European Journal of Remote Sensing·2023· 41 citedOpen Access
Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data
2023
Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data
2023· 5 cited
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Frequent Co-authors

Maitiniyazi Maimaitijiang(6), Dapeng Li(4), K. H. Khan(4), Sultan Alam(4), Javed Iqbal(3), Aqil Tariq(3), Muhammad Zahoor(3), Ijaz Hussain(3), Ataur Rahman(3), Junaid Aziz Khan(3), Bruce Millett(3), Waqas Ahmad(2), Muhammad Jamal Nasir(2), Burhan Ahmad(2), Muhammad Tasleem Khan(2), Abid Nawaz Khan(2), Naeem Abbas Malik(2), Mohammad Maruf Billah(2), Sunish K. Sehgal(2), Noor Haleem(2)