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How has Ran Meng's publication output changed over time?
ScholarIQpublication output · 2015–2024
Output grew0% over the shown period — from 1 works in 2015 to 1 in 2024.
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2015201720182019202020212024
What are the most-cited papers on Ran Meng?
ScholarIQmost cited works
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Sander Veraverbeke, Philip E. Dennison, Ioannis Z. Gitas, Glynn Hulley, О. В. Калашникова, Thomas Katagis, Le Kuai, Ran Meng, Dar A. Roberts, E. Natasha Stavros
S141808269. 2018178 CitationsOPEN ACCESS
Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California
Ran Meng, Philip E. Dennison, Chengquan Huang, Max A. Moritz, Carla M. D’Antonio
S141808269. 2015162 Citations
From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance
Shawn Serbin, Jin Wu, Kim Ely, Eric L. Kruger, Philip A. Townsend, Ran Meng, Brett T. Wolfe, Adam Chlus, Zhihui Wang, Alistair Rogers
S58631098. 2019152 CitationsOPEN ACCESS
Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem
Ran Meng, Jin Wu, Kathy Schwager, Feng Zhao, Philip E. Dennison, Bruce D. Cook, Kristen Brewster, Timothy M. Green, Shawn Serbin
S141808269. 2017133 CitationsOPEN ACCESS
Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm
Yidi Xu, Le Yu, Dailiang Peng, Jiyao Zhao, Yuqi Cheng, Xiaoxuan Liu, Wei Li, Ran Meng, Xinliang Xu, Peng Gong
S203062545. 2020130 Citations
Related on ScholarIQ
Harbin Engineering University
Institution
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Paper
Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California
Paper
From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance
Paper
Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem
Paper
Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm
Paper