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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:

A phenology-based spectral and temporal feature selection method for crop mapping from satellite time series
Qiong Hu, Damien Sulla‐Menashe, Baodong Xu, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 80, pp. 218-229
Closed Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

The 10-m crop type maps in Northeast China during 2017–2019
Nanshan You, Jinwei Dong, Jianxi Huang, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 268
Towards interpreting multi-temporal deep learning models in crop mapping
Jinfan Xu, Jie Yang, Xingguo Xiong, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112599-112599
Closed Access | Times Cited: 129
Rapid early-season maize mapping without crop labels
Nanshan You, Jinwei Dong, Jing Li, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113496-113496
Closed Access | Times Cited: 64
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection
Long Tian, Bowen Xue, Ziyi Wang, et al.
Remote Sensing of Environment (2021) Vol. 257, pp. 112350-112350
Closed Access | Times Cited: 105
The New Hyperspectral Satellite PRISMA: Imagery for Forest Types Discrimination
Elia Vangi, Giovanni D’Amico, Saverio Francini, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1182-1182
Open Access | Times Cited: 103
Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel
Dario Schulz, He Yin, Bernhard Tischbein, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 178, pp. 97-111
Open Access | Times Cited: 99
Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Esther Shupel Ibrahim, Philippe Rufin, Leon Nill, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3523-3523
Open Access | Times Cited: 60
Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes
Tian Xia, Zhen He, Zhiwen Cai, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102702-102702
Open Access | Times Cited: 50
Hyperspectral Monitoring of Powdery Mildew Disease Severity in Wheat Based on Machine Learning
Ziheng Feng, Lu-Yuan Wang, Zheqing Yang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 47
Bridging optical and SAR satellite image time series via contrastive feature extraction for crop classification
Yuan Yuan, Lei Lin, Zeng-Guang Zhou, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 195, pp. 222-232
Closed Access | Times Cited: 46
A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images
Davoud Ashourloo, Hamed Nematollahi, Alfredo Huete, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113206-113206
Closed Access | Times Cited: 43
Crop type mapping in the central part of the North China Plain using Sentinel-2 time series and machine learning
Ke Luo, Linlin Lu, Yanhua Xie, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107577-107577
Closed Access | Times Cited: 41
A joint learning Im-BiLSTM model for incomplete time-series Sentinel-2A data imputation and crop classification
Baili Chen, Hongwei Zheng, Lili Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102762-102762
Open Access | Times Cited: 40
Early Crop Mapping Based on Sentinel-2 Time-Series Data and the Random Forest Algorithm
Peng Wei, Huichun Ye, Shuting Qiao, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3212-3212
Open Access | Times Cited: 25
Deep learning with multi-scale temporal hybrid structure for robust crop mapping
Pengfei Tang, Jocelyn Chanussot, Shanchuan Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 117-132
Closed Access | Times Cited: 11
Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network
Renqin Duan, Chunlin Huang, Peng Dou, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Optimizing Feature Selection of Individual Crop Types for Improved Crop Mapping
Leikun Yin, Nanshan You, Geli Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 162-162
Open Access | Times Cited: 59
A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
Lan Xun, Jiahua Zhang, Dan Cao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 181, pp. 148-166
Closed Access | Times Cited: 55
Optimal Temporal Window Selection for Winter Wheat and Rapeseed Mapping with Sentinel-2 Images: A Case Study of Zhongxiang in China
Shiyao Meng, Yanfei Zhong, Chang Luo, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 226-226
Open Access | Times Cited: 51
Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification
Edyta Woźniak, Marcin Rybicki, W. Kofman, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102683-102683
Open Access | Times Cited: 34
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin
Leikun Yin, Rahul Ghosh, Chenxi Lin, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113695-113695
Open Access | Times Cited: 22
Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach
Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F. Glenn, et al.
Engineering Geology (2024) Vol. 329, pp. 107406-107406
Open Access | Times Cited: 7
WPS:A whole phenology-based spectral feature selection method for mapping winter crop from time-series images
Man Liu, Wei He, Hongyan Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 210, pp. 141-159
Closed Access | Times Cited: 7
Spatio-temporal remotely sensed indices identify hotspots of biodiversity conservation concern
Eduarda Martiniano de Oliveira Silveira, Volker C. Radeloff, Sebastián Martinuzzi, et al.
Remote Sensing of Environment (2021) Vol. 258, pp. 112368-112368
Open Access | Times Cited: 33
Multi-Year Crop Type Mapping Using Sentinel-2 Imagery and Deep Semantic Segmentation Algorithm in the Hetao Irrigation District in China
Guang Li, Wenting Han, Yuxin Dong, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 875-875
Open Access | Times Cited: 15
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