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:

Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology
Yu Shen, Xiaoyang Zhang, Weile Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4465-4465
Open Access | Times Cited: 24

Showing 24 citing articles:

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

Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Yu Shen, Xiaoyang Zhang, Zhengwei Yang
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 186, pp. 55-69
Open Access | Times Cited: 37

A novel algorithm for the generation of gap-free time series by fusing harmonized Landsat 8 and Sentinel-2 observations with PhenoCam time series for detecting land surface phenology
Khuong H. Tran, Xiaoyang Zhang, Alexander R. Ketchpaw, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113275-113275
Open Access | Times Cited: 35

HP-LSP: A reference of land surface phenology from fused Harmonized Landsat and Sentinel-2 with PhenoCam data
Khuong H. Tran, Xiaoyang Zhang, Yongchang Ye, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 14

Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI
Eatidal Amin, Santiago Belda, Luca Pipia, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1812-1812
Open Access | Times Cited: 21

Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State
Linze Li, Xuecao Li, Ghassem Asrar, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102815-102815
Open Access | Times Cited: 18

Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring
Egor Prikaziuk, Cláudio Silva Figueira, Gerbrand Koren, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110136-110136
Open Access

Improvement of land surface phenology monitoring by fusing VIIRS observations with GOES-16/17 ABI time series
Shuai Gao, Xiaoyang Zhang, Yu Shen, et al.
Remote Sensing of Environment (2025) Vol. 326, pp. 114803-114803
Closed Access

Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with VIIRS observations over the CONUS
Yu Shen, Xiaoyang Zhang, Shuai Gao, et al.
Remote Sensing of Environment (2023) Vol. 302, pp. 113972-113972
Closed Access | Times Cited: 9

Evaluating the potential of H8/AHI geostationary observations for monitoring vegetation phenology over different ecosystem types in northern China
Yuhe Zhao, Minyu Wang, Tingting Zhao, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102933-102933
Open Access | Times Cited: 14

A new constant scattering angle solar geometry definition for normalization of GOES-R ABI reflectance times series to support land surface phenology studies
Shuai Gao, Xiaoyang Zhang, Hankui K. Zhang, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114407-114407
Closed Access | Times Cited: 2

Diverse Responses of Multiple Satellite‐Derived Vegetation Greenup Onsets to Dry Periods in the Amazon
Xiaoyang Zhang, Yu Shen, Shuai Gao, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 20
Open Access | Times Cited: 8

China’s larch stock volume estimation using Sentinel-2 and LiDAR data
Tao Yu, Yong Pang, Xiaojun Liang, et al.
Geo-spatial Information Science (2022) Vol. 26, Iss. 3, pp. 392-405
Open Access | Times Cited: 7

Toward 30 m Fine-Resolution Land Surface Phenology Mapping at a Large Scale Using Spatiotemporal Fusion of MODIS and Landsat Data
Yongjian Ruan, Baozhen Ruan, Xinchang Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3365-3365
Open Access | Times Cited: 4

A comparative study on intra-annual classification of invasive saltcedar with Landsat 8 and Landsat 9
Ruixuan Li, Le Wang, Ying Lu
International Journal of Remote Sensing (2023) Vol. 44, Iss. 6, pp. 2093-2114
Closed Access | Times Cited: 3

Nonlinear Responses of Vegetation Phenology to Climate Change and Urbanization: A Case Study in Beijing, China
Jiahui Yao, Haiyong Ding
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5390-5402
Open Access

Matching Spring Phenology Indicators in Ground Observations and Remote-Sensing Metrics
Junfeng Xu, Ting Wu, Dailiang Peng, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2309-2309
Open Access

Land Surface Phenology: Climate Data Record and Near Real-Time Monitoring
Xiaoyang Zhang
Elsevier eBooks (2024)
Closed Access

Remote Sensing of Land Surface Phenology: Progress, Challenges, Prospects
Geoffrey M. Henebry, Kirsten M. de Beurs
(2024), pp. 431-459
Closed Access

Dynamic monitoring of flood disaster based on remote sensing data cube
Zhicheng Wang, Zhiqiang Gao
Research Square (Research Square) (2022)
Open Access | Times Cited: 1

Improving IPATS channel-to-channel registration assessment
Bin Tan, Alan D. Reth, Joseph C. Criscione, et al.
(2023), pp. 17-17
Closed Access

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