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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 Crop Phenology in Near Real-Time Using Satellite Remote Sensing: Challenges and Opportunities
Feng Gao, Xiaoyang Zhang
Journal of Remote Sensing (2021) Vol. 2021
Open Access | Times Cited: 187

Showing 1-25 of 187 citing articles:

Towards automation of in-season crop type mapping using spatiotemporal crop information and remote sensing data
Chen Zhang, Liping Di, Li Lin, et al.
Agricultural Systems (2022) Vol. 201, pp. 103462-103462
Open Access | Times Cited: 78
Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications
John Volk, Justin Huntington, Forrest Melton, et al.
Nature Water (2024) Vol. 2, Iss. 2, pp. 193-205
Open Access | Times Cited: 71
Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
Zheng Gong, Wenyan Ge, Jiaqi Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 149-164
Closed Access | Times Cited: 28
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
Detecting crop phenology from vegetation index time-series data by improved shape model fitting in each phenological stage
Licong Liu, Ruyin Cao, Jin Chen, et al.
Remote Sensing of Environment (2022) Vol. 277, pp. 113060-113060
Closed Access | Times Cited: 51
Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications
Xuanlong Ma, Xiaolin Zhu, Qiaoyun Xie, et al.
Global Change Biology (2022) Vol. 28, Iss. 24, pp. 7186-7204
Open Access | Times Cited: 41
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
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
Crop mapping using supervised machine learning and deep learning: a systematic literature review
Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 8, pp. 2717-2753
Open Access | Times Cited: 26
PhenoNet: A two-stage lightweight deep learning framework for real-time wheat phenophase classification
Ruinan Zhang, Shichao Jin, Yuanhao Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 136-157
Closed Access | Times Cited: 12
Integrating Remote Sensing, GIS, and AI Technologies in Soil Erosion Studies
Salman Selmy, Dmitry E. Kucher, Ali RA Moursy
IntechOpen eBooks (2025)
Closed Access | Times Cited: 1
Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia)
Gordan Mimić, Amit Kumar Mishra, Miljana Marković, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2239-2239
Open Access | Times Cited: 1
Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking
Ziheng Feng, Jiliang Zhao, Liunan Suo, et al.
The Crop Journal (2025)
Open Access | Times Cited: 1
Maize tasseling date forecast from canopy height time series estimated by UAV LiDAR data
Yadong Liu, Chenwei Nie, Liang Li, et al.
The Crop Journal (2025)
Open Access | Times Cited: 1
An assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas
Hongliang Ma, Xiaojun Li, Jiangyuan Zeng, et al.
Remote Sensing of Environment (2022) Vol. 284, pp. 113344-113344
Open Access | Times Cited: 38
Evaluating fine-scale phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America
Yingyi Zhao, Calvin K. F. Lee, Zhihui Wang, et al.
Remote Sensing of Environment (2022) Vol. 283, pp. 113310-113310
Closed Access | Times Cited: 31
Ecological transitions in Xinjiang, China: Unraveling the impact of climate change on vegetation dynamics (1990–2020)
Haichao Hao, Junqiang Yao, Yaning Chen, et al.
Journal of Geographical Sciences (2024) Vol. 34, Iss. 6, pp. 1039-1064
Closed Access | Times Cited: 9
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE
Lingyu Sun, Yuxin Lou, Qian Shi, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103762-103762
Open Access | Times Cited: 8
Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France
Guanyao Xie, Simona Niculescu
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4437-4437
Open Access | Times Cited: 28
A 30 m annual maize phenology dataset from 1985 to 2020 in China
Quandi Niu, Xuecao Li, Jianxi Huang, et al.
Earth system science data (2022) Vol. 14, Iss. 6, pp. 2851-2864
Open Access | Times Cited: 25
Citrus orchard mapping in Juybar, Iran: Analysis of NDVI time series and feature fusion of multi-source satellite imageries
Ahmad Toosi, Farzaneh Dadrass Javan, Farhad Samadzadegan, et al.
Ecological Informatics (2022) Vol. 70, pp. 101733-101733
Open Access | Times Cited: 23
Towards Scalable Within-Season Crop Mapping With Phenology Normalization and Deep Learning
Zijun Yang, Chunyuan Diao, Feng Gao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1390-1402
Open Access | Times Cited: 17
A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized Landsat and Sentinel-2 imagery
Jilin Yang, Jinwei Dong, Luo Liu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 610-636
Closed Access | Times Cited: 16
Combining shape and crop models to detect soybean growth stages
Zihang Lou, Fumin Wang, Dailiang Peng, et al.
Remote Sensing of Environment (2023) Vol. 298, pp. 113827-113827
Closed Access | Times Cited: 14
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