Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data
Peiqing Lou, Bolin Fu, Hongchang He, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 5311-5325
Open Access | Times Cited: 11

Showing 11 citing articles:

Machine learning assisted remote forestry health assessment: a comprehensive state of the art review
Juan Sebastián Estrada, Andrés Fuentes, Pedro Reszka, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 20
A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery
Zhenqi Liao, Yulong Dai, Han Wang, et al.
Journal of Integrative Agriculture (2023) Vol. 22, Iss. 7, pp. 2248-2270
Open Access | Times Cited: 19
Retrieval of chlorophyll content for vegetation communities under different inundation frequencies using UAV images and field measurements
Zhinan Lao, Bolin Fu, Yingying Wei, et al.
Ecological Indicators (2023) Vol. 158, pp. 111329-111329
Open Access | Times Cited: 8
Prediction of vertical distribution of SPAD values within maize canopy based on unmanned aerial vehicles multispectral imagery
Bo Chen, Guanmin Huang, Xianju Lu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
Monitoring the Spatio-Temporal Distribution of Ulva prolifera in the Yellow Sea (2020–2022) Based on Satellite Remote Sensing
Zhuyi Wang, Bowen Fan, Dingfeng Yu, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 157-157
Open Access | Times Cited: 9
Efficient unmanned aerial vehicle-based data collection for IoT smart farming
Sami Ahmed Haider, Khwaja Mutahir Ahmad, Abdullah Aman Khan
Internet of Things (2024) Vol. 26, pp. 101184-101184
Closed Access | Times Cited: 1
Estimation of mangrove canopy chlorophyll content using hyperspectral image and stacking ensemble regression algorithm
B. Fu, Liangchao DENG, Li ZHANG, et al.
National Remote Sensing Bulletin (2022) Vol. 26, Iss. 6, pp. 1182-1205
Open Access | Times Cited: 6
Regional Monitoring of Leaf ChlorophyII Content of Summer Maize by Integrating Multi-Source Remote Sensing Data
Hongwei Tian, Lin Cheng, Dongli Wu, et al.
Agronomy (2023) Vol. 13, Iss. 8, pp. 2040-2040
Open Access | Times Cited: 2
The Potential of Hue Angle Calculated Based on Multispectral Reflectance for Leaf Chlorophyll Content Estimation
Quanjun Jiao, Bing Zhang, Wenjiang Huang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 2
Sentinel-2 Multispectral Satellite Remote Sensing Retrieval of Soil Cu Content Changes at Different pH Levels
Hongxu Guo, Fan Wu, Kai Yang, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2182-2182
Open Access
What Is the Effect of Quantitative Inversion of Photosynthetic Pigment Content in Populus euphratica Oliv. Individual Tree Canopy Based on Multispectral UAV Images?
Yasenjiang Kahaer, Qingdong Shi, Haobo Shi, et al.
Forests (2022) Vol. 13, Iss. 4, pp. 542-542
Open Access | Times Cited: 2
Page 1

Scroll to top