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:

Obtaining rubber plantation age information from very dense Landsat TM & ETM + time series data and pixel-based image compositing
Philip Beckschäfer
Remote Sensing of Environment (2017) Vol. 196, pp. 89-100
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition
Thanh Noi Phan, Verena Kuch, Lukas Lehnert
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2411-2411
Open Access | Times Cited: 446
Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud
Adam Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 81, pp. 110-124
Open Access | Times Cited: 191
A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
Su Ye, Robert Gilmore Pontius, Rahul Rakshit
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 141, pp. 137-147
Open Access | Times Cited: 174
Long-Term Surface Water Dynamics Analysis Based on Landsat Imagery and the Google Earth Engine Platform: A Case Study in the Middle Yangtze River Basin
Chao Wang, Mingming Jia, Nengcheng Chen, et al.
Remote Sensing (2018) Vol. 10, Iss. 10, pp. 1635-1635
Open Access | Times Cited: 147
Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud
Murali Krishna Gumma, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, et al.
GIScience & Remote Sensing (2019) Vol. 57, Iss. 3, pp. 302-322
Open Access | Times Cited: 135
Automatic Land-Cover Mapping using Landsat Time-Series Data based on Google Earth Engine
Shuai Xie, Liangyun Liu, Xiao Zhang, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 3023-3023
Open Access | Times Cited: 125
Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion
Jinyan Tian, Le Wang, Dameng Yin, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111745-111745
Open Access | Times Cited: 99
Decision Tree and Random Forest Classification Algorithms for Mangrove Forest Mapping in Sembilang National Park, Indonesia
Anang Dwi Purwanto, Ketut Wikantika, Albertus Deliar, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 16-16
Open Access | Times Cited: 52
Spatio-Temporal Evolution of Glacial Lakes in the Tibetan Plateau over the Past 30 Years
Xiangyang Dou, Xuanmei Fan, Xin Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 416-416
Open Access | Times Cited: 24
Characterizing the encroachment of juniper forests into sub-humid and semi-arid prairies from 1984 to 2010 using PALSAR and Landsat data
Jie Wang, Xiangming Xiao, Yuanwei Qin, et al.
Remote Sensing of Environment (2017) Vol. 205, pp. 166-179
Open Access | Times Cited: 80
Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during 1987-2018 using Landsat time series data: A multiple normalization approach
Chiwei Xiao, Peng Li, Zhiming Feng
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 77, pp. 30-41
Closed Access | Times Cited: 65
After the rubber boom: good news and bad news for biodiversity in Xishuangbanna, Yunnan, China
Jiaqi Zhang, Richard T. Corlett, Deli Zhai
Regional Environmental Change (2019) Vol. 19, Iss. 6, pp. 1713-1724
Closed Access | Times Cited: 58
An Assessment of Water Color for Inland Water in China Using a Landsat 8-Derived Forel–Ule Index and the Google Earth Engine Platform
Xidong Chen, Liangyun Liu, Xiao Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 5773-5785
Open Access | Times Cited: 52
Application of Optical Remote Sensing in Rubber Plantations: A Systematic Review
Fathin Ayuni Azizan, Adhitya Marendra Kiloes, Ike Sari Astuti, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 429-429
Open Access | Times Cited: 46
Monitoring rubber plantation expansion using Landsat data time series and a Shapelet-based approach
Su Ye, John Rogan, Florencia Sangermano
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 136, pp. 134-143
Closed Access | Times Cited: 48
Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR
Chiwei Xiao, Peng Li, Zhiming Feng, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 93, pp. 102176-102176
Open Access | Times Cited: 48
Automatic mapping of planting year for tree crops with Landsat satellite time series stacks
Бин Чэн, Yufang Jin, Patrick H. Brown
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 151, pp. 176-188
Open Access | Times Cited: 45
Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries
Xinxing Zhou, Yangyang Li, Yuan-Kai Luo, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 25
Mapping of secondary forest age in China using stacked generalization and Landsat time series
Shaoyu Zhang, Hanzeyu Xu, Aixia Liu, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Land Cover Change in the Central Region of the Lower Yangtze River Based on Landsat Imagery and the Google Earth Engine: A Case Study in Nanjing, China
Dongdong Zhang, Lei Zhang
Sensors (2020) Vol. 20, Iss. 7, pp. 2091-2091
Open Access | Times Cited: 37
Assessment of the Impact of Rubber Plantation Expansion on Regional Carbon Storage Based on Time Series Remote Sensing and the InVEST Model
Chong Huang, Chenchen Zhang, He Li
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6234-6234
Open Access | Times Cited: 20
Mapping planted forest age using LandTrendr algorithm and Landsat 5–8 on the Loess Plateau, China
Peng Li, Huijie Li, Bingcheng Si, et al.
Agricultural and Forest Meteorology (2023) Vol. 344, pp. 109795-109795
Closed Access | Times Cited: 12
Improving forest age prediction performance using ensemble learning algorithms base on satellite remote sensing data
Jinjin Chen, Huaqiang Du, Fangjie Mao, et al.
Ecological Indicators (2024) Vol. 166, pp. 112327-112327
Open Access | Times Cited: 4
Rubber tree allometry, biomass partitioning and carbon stocks in mountainous landscapes of sub-tropical China
Xueqing Yang, Sergey Blagodatsky, Feng Liu, et al.
Forest Ecology and Management (2017) Vol. 404, pp. 84-99
Closed Access | Times Cited: 39
Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987–2015
Bangqian Chen, Xiangming Xiao, Zhixiang Wu, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1240-1240
Open Access | Times Cited: 37
Page 1 - Next Page

Scroll to top