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:

A robust index to extract paddy fields in cloudy regions from SAR time series
Shuai Xu, Xiaolin Zhu, Jin Chen, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113374-113374
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Mapping and classification of Liao River Delta coastal wetland based on time series and multi-source GaoFen images using stacking ensemble model
Huiya Qian, Nisha Bao, Dantong Meng, et al.
Ecological Informatics (2024) Vol. 80, pp. 102488-102488
Open Access | Times Cited: 19

Automatic Rice Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images
G. Wang, Di Meng, Riqiang Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 277-277
Open Access | Times Cited: 10

Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China
Bingwen Qiu, Linhai Yu, Peng Yang, et al.
The Crop Journal (2024) Vol. 12, Iss. 2, pp. 614-629
Open Access | Times Cited: 9

Comparison of Cloud-Mask Algorithms and Machine-Learning Methods Using Sentinel-2 Imagery for Mapping Paddy Rice in Jianghan Plain
Xinyi Gao, Hong Chi, Jinliang Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1305-1305
Open Access | Times Cited: 9

A novel and robust method for large-scale single-season rice mapping based on phenology and statistical data
Maolin Yang, Bin Guo, Jianlin Wang
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 213, pp. 14-32
Closed Access | Times Cited: 9

A robust index was extracted to assess the prolonged changes in debris flow activity after a high magnitude earthquake
Xiong Jiang, Huayong Chen, Chuan Tang, et al.
CATENA (2025) Vol. 250, pp. 108733-108733
Closed Access | Times Cited: 1

EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023
Mingyang Song, Lu Xu, Ji Ge, et al.
Earth system science data (2025) Vol. 17, Iss. 2, pp. 661-683
Open Access | Times Cited: 1

Plot-Rice v1.0: A global plot-based rice benchmark dataset with spatiotemporal heterogeneity for scientific deep learning
Ji Ge, Hong Zhang, Wenjiang Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104569-104569
Closed Access | Times Cited: 1

FARM: A fully automated rice mapping framework combining Sentinel-1 SAR and Sentinel-2 multi-temporal imagery
Yuan Gao, Yaozhong Pan, Xiufang Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108262-108262
Closed Access | Times Cited: 22

An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing
Jiang Chen, Zhou Zhang
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103533-103533
Open Access | Times Cited: 17

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

Long-term (2013–2022) mapping of winter wheat in the North China Plain using Landsat data: classification with optimal zoning strategy
Yifei Liu, Xuehong Chen, Jin Chen, et al.
Big Earth Data (2024) Vol. 8, Iss. 3, pp. 494-521
Open Access | Times Cited: 8

Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends
Xueqian Hu, Li Li, Jianxi Huang, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 173974-173974
Closed Access | Times Cited: 7

An automated sample generation method by integrating phenology domain optical-SAR features in rice cropping pattern mapping
Jingya Yang, Qiong Hu, Wenjuan Li, et al.
Remote Sensing of Environment (2024) Vol. 314, pp. 114387-114387
Closed Access | Times Cited: 7

Improved phenology-based rice mapping algorithm by integrating optical and radar data
Zizhang Zhao, Jinwei Dong, Geli Zhang, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114460-114460
Closed Access | Times Cited: 7

A robust approach for large-scale cropping intensity mapping in smallholder farms from vegetation, brownness indices and SAR time series
Bingwen Qiu, Hu Xiang, Peng Yang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 203, pp. 328-344
Closed Access | Times Cited: 16

Novel Harmonic-Based Scheme for Mapping Rice-Crop Intensity at a Large Scale Using Time-Series Sentinel-1 and ERA5-Land Datasets
Ze He, Shihua Li, Minghui Chang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-23
Closed Access | Times Cited: 5

An efficient and generalisable approach for mapping paddy rice fields based on their unique spectra during the transplanting period leveraging the CIE colour space
Huapeng Li, Jujian Huang, Ce Zhang, et al.
Remote Sensing of Environment (2024) Vol. 313, pp. 114381-114381
Closed Access | Times Cited: 4

Tracking paddy rice acreage, flooding impacts, and mitigations during El Niño flooding events using Sentinel-1/2 imagery and cloud computing
Ruoqi Liu, Jinwei Dong, Yong Ge, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 165-178
Closed Access | Times Cited: 4

A comprehensive review of rice mapping from satellite data: Algorithms, product characteristics and consistency assessment
Husheng Fang, Shunlin Liang, Yongzhe Chen, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100172-100172
Open Access | Times Cited: 4

Discrimination and monitoring of rice cultural types using dense time series of Sentinel-1 SAR data
Sonam Sah, Dipanwita Haldar, Subhash Chandra, et al.
Ecological Informatics (2023) Vol. 76, pp. 102136-102136
Closed Access | Times Cited: 10

An Automatic Method for Rice Mapping Based on Phenological Features with Sentinel-1 Time-Series Images
Guixiang Tian, Heping Li, Qi Jiang, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2785-2785
Open Access | Times Cited: 10

Advancing Rice Grain Impurity Segmentation with an Enhanced SegFormer and Multi-Scale Feature Integration
Xiulin Qiu, Heming Yao, Qinghua Liu, et al.
Entropy (2025) Vol. 27, Iss. 1, pp. 70-70
Open Access

High-resolution mapping of global winter-triticeae crops using a sample-free identification method
Yangyang Fu, Xiuzhi Chen, Chaoqing Song, et al.
Earth system science data (2025) Vol. 17, Iss. 1, pp. 95-115
Open Access

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