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:

Generation and evaluation of the VIIRS land surface phenology product
Xiaoyang Zhang, Lingling Liu, Yan Liu, et al.
Remote Sensing of Environment (2018) Vol. 216, pp. 212-229
Closed Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
Linglin Zeng, Brian D. Wardlow, Daxiang Xiang, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111511-111511
Closed Access | Times Cited: 600
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
Jingfeng Xiao, Frédéric Chevallier, Cécile Gomez, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111383-111383
Open Access | Times Cited: 498
Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere
Jie Peng, Chaoyang Wu, Xiaoyang Zhang, et al.
Global Change Biology (2019) Vol. 25, Iss. 6, pp. 2174-2188
Closed Access | Times Cited: 192
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
Jose A. Caparros-Santiago, Víctor Rodríguez‐Galiano, Jadunandan Dash
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 330-347
Open Access | Times Cited: 157
Remote sensing of land change: A multifaceted perspective
Zhe Zhu, Shi Qiu, Su Ye
Remote Sensing of Environment (2022) Vol. 282, pp. 113266-113266
Open Access | Times Cited: 119
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
Feng Tian, Zhanzhang Cai, Hongxiao Jin, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112456-112456
Open Access | Times Cited: 117
Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Volker C. Radeloff, David P. Roy, Michael A. Wulder, et al.
Remote Sensing of Environment (2023) Vol. 300, pp. 113918-113918
Open Access | Times Cited: 55
A transformer-based model for detecting land surface phenology from the irregular harmonized Landsat and Sentinel-2 time series across the United States
Khuong H. Tran, Xiaoyang Zhang, Hankui K. Zhang, et al.
Remote Sensing of Environment (2025) Vol. 320, pp. 114656-114656
Closed Access | Times Cited: 2
Advances in quantitative remote sensing product validation: Overview and current status
Xiaodan Wu, Qing Xiao, Jianguang Wen, et al.
Earth-Science Reviews (2019) Vol. 196, pp. 102875-102875
Closed Access | Times Cited: 122
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery
Feng Gao, Martha C. Anderson, Craig S. T. Daughtry, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111752-111752
Open Access | Times Cited: 122
Transfer Learning for Crop classification with Cropland Data Layer data (CDL) as training samples
Pengyu Hao, Liping Di, Chen Zhang, et al.
The Science of The Total Environment (2020) Vol. 733, pp. 138869-138869
Open Access | Times Cited: 120
Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series
Xiaoyang Zhang, Jianmin Wang, Geoffrey M. Henebry, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 161, pp. 37-51
Open Access | Times Cited: 100
Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite phenological metrics
Elias Fernando Berra, Rachel Gaulton
Forest Ecology and Management (2020) Vol. 480, pp. 118663-118663
Open Access | Times Cited: 99
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
Minkyu Moon, Andrew D. Richardson, M. A. Friedl
Remote Sensing of Environment (2021) Vol. 266, pp. 112716-112716
Open Access | Times Cited: 99
Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities
Tong Qiu, Conghe Song, Yulong Zhang, et al.
Remote Sensing of Environment (2019) Vol. 236, pp. 111477-111477
Open Access | Times Cited: 83
Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products
Minkyu Moon, Xiaoyang Zhang, Geoffrey M. Henebry, et al.
Remote Sensing of Environment (2019) Vol. 226, pp. 74-92
Open Access | Times Cited: 81
Spatiotemporal Analysis and War Impact Assessment of Agricultural Land in Ukraine Using RS and GIS Technology
Yue Ma, Dongmei Lyu, Kenan Sun, et al.
Land (2022) Vol. 11, Iss. 10, pp. 1810-1810
Open Access | Times Cited: 42
Near real-time detection and forecasting of within-field phenology of winter wheat and corn using Sentinel-2 time-series data
Chunhua Liao, Jinfei Wang, Bo Shan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 105-119
Closed Access | Times Cited: 32
Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe
Jing Wang, Yanru Huang, Linsheng Huang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 32
Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations
Yu Shen, Xiaoyang Zhang, Zhengwei Yang, et al.
Remote Sensing of Environment (2023) Vol. 296, pp. 113729-113729
Open Access | Times Cited: 28
An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites
Jing Wang, Guangqin Song, Michael J. Liddell, et al.
Remote Sensing of Environment (2023) Vol. 286, pp. 113429-113429
Open Access | Times Cited: 26
Asymmetrical Impact of Daytime and Nighttime Warming on the Interannual Variation of Urban Spring Vegetation Phenology
Peiyi Yin, Xuecao Li, Petri Pellikka
Earth s Future (2024) Vol. 12, Iss. 5
Open Access | Times Cited: 9
Precipitation and Minimum Temperature are Primary Climatic Controls of Alpine Grassland Autumn Phenology on the Qinghai-Tibet Plateau
Shuai An, Xiaoqiu Chen, Xiaoyang Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 431-431
Open Access | Times Cited: 67
Phenology-based classification of crop species and rotation types using fused MODIS and Landsat data: The comparison of a random-forest-based model and a decision-rule-based model
Ruiyuan Li, Miaoqing Xu, Ziyue Chen, et al.
Soil and Tillage Research (2020) Vol. 206, pp. 104838-104838
Closed Access | Times Cited: 62
The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau
Ke Huang, Yangjian Zhang, Torbern Tagesson, et al.
The Science of The Total Environment (2020) Vol. 756, pp. 144011-144011
Closed Access | Times Cited: 57
Page 1 - Next Page

Scroll to top