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About the database ScholarIQanswers from OpenAlex & ORCID
How has Wuming Zhang's publication output changed over time?
ScholarIQpublication output · 1998–2023
Output grew0% over the shown period — from 1 works in 1998 to 1 in 2023.
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1998200720162018201920202023
What are the most-cited papers on Wuming Zhang?
ScholarIQmost cited works
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
Wuming Zhang, Jianbo Qi, Peng Wan, Hongtao Wang, Donghui Xie, Xiaoyan Wang, Guangjian Yan
S43295729. 20161,539 CitationsOPEN ACCESS
Distributed solar photovoltaic array location and extent dataset for remote sensing object identification
Kyle Bradbury, Raghav Saboo, Timothy L. Johnson, Jordan M. Malof, Arjun Devarajan, Wuming Zhang, Leslie M. Collins, Richard G. Newell
S2607323502. 2016637 CitationsOPEN ACCESS
Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
Guangjian Yan, Ronghai Hu, Jinghui Luo, Marie Weiss, Hailan Jiang, Xihan Mu, Donghui Xie, Wuming Zhang
S17729819. 2018452 CitationsOPEN ACCESS
LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes
Jianbo Qi, Donghui Xie, Tiangang Yin, Guangjian Yan, Jean‐Philippe Gastellu‐Etchegorry, Linyuan Li, Wuming Zhang, Xihan Mu, Leslie K. Norford
S141808269. 2018333 Citations
Automatic Extraction of Power Lines From Aerial Images
Guangjian Yan, Chaoyang Li, Guoqing Zhou, Wuming Zhang, Xiaowen Li
S126920919. 2007171 Citations
Related on ScholarIQ
Xi'an University of Architecture and Technology
Institution
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
Paper
Distributed solar photovoltaic array location and extent dataset for remote sensing object identification
Paper
Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
Paper
LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes
Paper
Automatic Extraction of Power Lines From Aerial Images
Paper