Leaderboards/Leaf Properties and Growth Measurement

Leaf Properties and Growth Measurement

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Lakshin Pathak
Physical Research Laboratory
2
J. G. Horsfall
Unknown
3
Muhammad Tauseef
Central Cotton Research Institute
4
Amreen Abbas
Maulana Azad National Institute of Technology
5
N.O. Ukwu
Unknown
6
Changjian Zhou
Northeast Agricultural University
7
Vibhor Kumar Vishnoi
Gurukul Kangri Vishwavidyalaya
8
Wubetu Barud Demilie
Genomics Research Center, Academia Sinica
9
Yibin Wang
Agricultural Genomics Institute at Shenzhen
10
İlayda Yağ
Zonguldak Bülent Ecevit University

Rising Stars Papers

1
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning
International Journal of Innovative Science and Research Technology (IJISRT)|2024
960 cit.
2
An Improved Grading System for Measuring Plant Diseases
Phytopathology|2025
873 cit.
3
Development of a Low-Cost Banana Fiber Extractor
International Journal of Innovative Science and Research Technology (IJISRT)|2024
388 cit.
4
Plant disease detection and classification techniques: a comparative study of the performances
Journal Of Big Data|2024
316 cit.
5
EfficientNetB3-Based Framework for Real-Time Disturbance Classification in Smart Grid Systems Using PMU Data
Unknown Journal|2024
7 cit.
6
Comprehensive analysis of amino acid/auxin permease family genes reveal the positive role of GhAAAP128 in cotton tolerance to cold stress
International Journal of Biological Macromolecules|2024
6 cit.
7
Machine Learning for Threat Detection in Softwares
International Journal of Innovative Science and Research Technology (IJISRT)|2024
5 cit.
8
A stacking ensemble machine learning based approach for classification of plant diseases through leaf images
Environment Conservation Journal|2024
4 cit.
9
Plant Disease Identification under Imbalanced Dataset using Hybrid Deep Learning Method
Journal of The Institution of Engineers (India) Series A|2024
3 cit.
10
IOT ENABLED SMART ADVERTISEMENTS RECOMMENDER FOR SHOPPING MARTS
International Journal of Innovations in Engineering Research and Technology|2024
2 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Bin Wang
Beijing Jiaotong University
2
Drashti Kansara
Nirma University
3
James C. Schnable
University of Nebraska–Lincoln
4
Yonggui Xiao
Chinese Academy of Agricultural Sciences
5
Suneet Gupta
University of Petroleum and Energy Studies
6
N. Z. Jhanjhi
Taylor's University
7
Sarfraz Nawaz Brohi
University of the West of England
8
Lucas C. Uzal
Consejo Nacional de Investigaciones Científicas y Técnicas
9
Swetha Vankudothu
Maulana Azad National Institute of Technology
10
Mahesh Gour
All India Institute of Medical Sciences Rishikesh

Emerging Leaders Papers

1
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning
International Journal of Innovative Science and Research Technology (IJISRT)|2024
960 cit.
2
Detection of Skin Cancer Based on Skin Lesion Images Using Deep Learning
Healthcare|2022
363 cit.
3
Energy Optimization for Smart Cities Using IoT
Applied Artificial Intelligence|2022
149 cit.
4
A Transfer Learning Approach with a Convolutional Neural Network for the Classification of Lung Carcinoma
Healthcare|2022
134 cit.
5
Detection of COVID-19 Based on Chest X-rays Using Deep Learning
Healthcare|2022
128 cit.
6
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Electronics|2023
113 cit.
7
Towards Industrial Revolution 5.0 and Explainable Artificial Intelligence: Challenges and Opportunities
International Journal of Computing and Digital Systems|2022
109 cit.
8
Autonomous Traffic System for Emergency Vehicles
Electronics|2022
93 cit.
9
Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies
The Crop Journal|2022
63 cit.
10
A common resequencing‐based genetic marker data set for global maize diversity
The Plant Journal|2023
57 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Unto Tapper
VTT Technical Research Centre of Finland
2
Frédéric Baret
Université d'Avignon et des Pays de Vaucluse
3
Thomas D. Sharkey
Michigan State University
4
John A. Gamon
University of Nebraska–Lincoln
5
Anatoly A. Gitelson
University of Nebraska–Lincoln
6
Soroosh Sorooshian
Irvine University
7
John M. Norman
University of Sheffield
8
Hui Ma
Hainan University
9
Ranga B. Myneni
Boston University
10
Urs Schmidhalter
Technical University of Munich

Current Senior Leaders Papers

1
Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values
Environmetrics|1994
6.3k cit.
2
Stomatal Conductance and Photosynthesis
Annual Review of Plant Physiology|1982
4.2k cit.
3
Increased plant growth in the northern high latitudes from 1981 to 1991
Nature|1997
3.5k cit.
4
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
Remote Sensing of Environment|2002
3.4k cit.
5
A modified soil adjusted vegetation index
Remote Sensing of Environment|1994
3.3k cit.
6
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
Remote Sensing of Environment|1996
3.2k cit.
7
China and India lead in greening of the world through land-use management
Nature Sustainability|2019
2.9k cit.
8
Optimization of soil-adjusted vegetation indices
Remote Sensing of Environment|1996
2.8k cit.
9
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
Journal of Plant Physiology|2003
2.6k cit.
10
PROSPECT: A model of leaf optical properties spectra
Remote Sensing of Environment|1990
2.4k cit.

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