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OpenAlex Citation Counts

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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:

Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images
Bangqian Chen, Xiangping Li, Xiangming Xiao, et al.
International Journal of Applied Earth Observation and Geoinformation (2016) Vol. 50, pp. 117-130
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
Bangqian Chen, Xiangming Xiao, Xiangping Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 131, pp. 104-120
Open Access | Times Cited: 382
Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification
Ate Poortinga, Karis Tenneson, Aurélie Shapiro, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 831-831
Open Access | Times Cited: 134
Combined Landsat and L-Band SAR Data Improves Land Cover Classification and Change Detection in Dynamic Tropical Landscapes
Jose Don T. De Alban, Grant M. Connette, Patrick Oswald, et al.
Remote Sensing (2018) Vol. 10, Iss. 2, pp. 306-306
Open Access | Times Cited: 116
Effects of land-use change on eco-environmental quality in Hainan Island, China
Rui Sun, Zhixiang Wu, Bangqian Chen, et al.
Ecological Indicators (2019) Vol. 109, pp. 105777-105777
Closed Access | Times Cited: 78
Automatic land cover classification of geo-tagged field photos by deep learning
Guang Xu, Xuan Zhu, Dongjie Fu, et al.
Environmental Modelling & Software (2017) Vol. 91, pp. 127-134
Open Access | Times Cited: 80
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
Participatory mapping of forest plantations with Open Foris and Google Earth Engine
Joni Koskinen, Ulpu Leinonen, Andreas Vollrath, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 148, pp. 63-74
Open Access | Times Cited: 78
Mapping the dynamics of eastern redcedar encroachment into grasslands during 1984–2010 through PALSAR and time series Landsat images
Jie Wang, Xiangming Xiao, Yuanwei Qin, et al.
Remote Sensing of Environment (2017) Vol. 190, pp. 233-246
Open Access | Times Cited: 77
Annual dynamics of forest areas in South America during 2007–2010 at 50-m spatial resolution
Yuanwei Qin, Xiangming Xiao, Jinwei Dong, et al.
Remote Sensing of Environment (2017) Vol. 201, pp. 73-87
Open Access | Times Cited: 76
Unmanned Aerial Vehicle Applications In Agriculture
C Y N Norasma, M A Fadzilah, Nor Athirah Roslin, et al.
IOP Conference Series Materials Science and Engineering (2019) Vol. 506, pp. 012063-012063
Open Access | Times Cited: 70
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
Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping
Manuela Hirschmugl, Janik Deutscher, Carina Sobe, et al.
Remote Sensing (2020) Vol. 12, Iss. 4, pp. 727-727
Open Access | Times Cited: 63
Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest
Andréa Puzzi Nicolau, Africa Flores-Anderson, Robert Griffin, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 94, pp. 102214-102214
Open Access | Times Cited: 58
Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine
Thuan Sarzynski, Xingli Giam, Luis Carrasco, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1220-1220
Open Access | Times Cited: 56
Regional scale terrace mapping in fragmented mountainous areas using multi-source remote sensing data and sample purification strategy
Zicheng Liu, Guokun Chen, Bo‐Hui Tang, et al.
The Science of The Total Environment (2024) Vol. 925, pp. 171366-171366
Closed Access | Times Cited: 8
Mapping the Expansion of Boom Crops in Mainland Southeast Asia Using Dense Time Stacks of Landsat Data
Kaspar Hurni, Annemarie Schneider, Andreas Heinimann, et al.
Remote Sensing (2017) Vol. 9, Iss. 4, pp. 320-320
Open Access | Times Cited: 54
Quantifying annual changes in built-up area in complex urban-rural landscapes from analyses of PALSAR and Landsat images
Yuanwei Qin, Xiangming Xiao, Jinwei Dong, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 124, pp. 89-105
Open Access | Times Cited: 50
Mapping Forest and Their Spatial–Temporal Changes From 2007 to 2015 in Tropical Hainan Island by Integrating ALOS/ALOS-2 L-Band SAR and Landsat Optical Images
Bangqian Chen, Xiangming Xiao, Huichun Ye, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 3, pp. 852-867
Closed Access | Times Cited: 50
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
Mapping bamboo with regional phenological characteristics derived from dense Landsat time series using Google Earth Engine
Meinan Zhang, Peng Gong, Shuhua Qi, et al.
International Journal of Remote Sensing (2019) Vol. 40, Iss. 24, pp. 9541-9555
Closed Access | Times Cited: 45
Monitoring the Severity of Rubber Tree Infected with Powdery Mildew Based on UAV Multispectral Remote Sensing
Tiwei Zeng, Huiming Zhang, Yuan Li, et al.
Forests (2023) Vol. 14, Iss. 4, pp. 717-717
Open Access | Times Cited: 14
Mapping pine plantations in the southeastern U.S. using structural, spectral, and temporal remote sensing data
Matthew E. Fagan, Douglas C. Morton, Bruce D. Cook, et al.
Remote Sensing of Environment (2018) Vol. 216, pp. 415-426
Closed Access | Times Cited: 45
Comparison of machine learning algorithms for mapping mango plantations based on Gaofen-1 imagery
Hongxia Luo, Shengpei Dai, Mao-Fen Li, et al.
Journal of Integrative Agriculture (2020) Vol. 19, Iss. 11, pp. 2815-2828
Open Access | Times Cited: 37
Monitoring three-decade dynamics of citrus planting in Southeastern China using dense Landsat records
Hanzeyu Xu, Shuhua Qi, Xiao Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 103, pp. 102518-102518
Open Access | Times Cited: 31
Expansion dynamics of deciduous rubber plantations in Xishuangbanna, China during 2000–2010
Weili Kou, Jinwei Dong, Xiangming Xiao, et al.
GIScience & Remote Sensing (2018) Vol. 55, Iss. 6, pp. 905-925
Closed Access | Times Cited: 38
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