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 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

Showing 16 citing articles:

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

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

Evaluation of PlanetScope-detected plant-specific phenology using infrared-enabled PhenoCam observations in semi-arid ecosystems
Yuxia Liu, Xiaoyang Zhang, Yu Shen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 210, pp. 242-259
Closed Access | Times Cited: 6

A spatiotemporal shape model fitting method for within-season crop phenology detection
Ruyin Cao, Luchun Li, Licong Liu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 179-198
Closed Access | Times Cited: 6

Comparison of change-based and shape-based data fusion methods in fine-resolution land surface phenology monitoring with Landsat and Sentinel-2 data
Caiqun Wang, Tao He, Dan‐Xia Song, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172014-172014
Open Access | Times Cited: 4

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

Smart Detection Of Illicit Cannabis Plantations Using Remote Sensing Technology And Machine Learning
Dedi Irawadi, Tuga Mauritsius, Dony Kushardono, et al.
GEOGRAPHY ENVIRONMENT SUSTAINABILITY (2025) Vol. 18, Iss. 1, pp. 130-138
Open Access

From rice planting area mapping to rice agricultural system mapping: A holistic remote sensing framework for understanding China's complex rice systems
Zizhang Zhao, Jinwei Dong, Jilin Yang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 224, pp. 382-397
Closed Access

A Novel Fusion of Sentinel-1 and Sentinel-2 with Climate Data for Crop Phenology Estimation using Machine Learning
Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias K. D. Weber
Science of Remote Sensing (2025), pp. 100227-100227
Open Access

Coupling Spectral Indices and Machine Learning to Compare GF-6 and Sentinel-2A Data in Forest Health Monitoring
Jiahui Chen, Hanqiu Xu, Fei Tang
Chinese Geographical Science (2025) Vol. 35, Iss. 3, pp. 581-599
Closed Access

Macro‐ and Micro‐Climate‐Controlled Impacts of Heatwave With Drought on the Autumn Phenology of a Subtropical Forest Ecosystem
Wei Zhou, Zhenpeng Tian, Yao Zhang, et al.
Journal of Geophysical Research Biogeosciences (2025) Vol. 130, Iss. 5
Closed Access

Time series sUAV data reveal moderate accuracy and large uncertainties in spring phenology metric of deciduous broadleaf forest as estimated by vegetation index-based phenological models
Li Pan, Xiangming Xiao, Haoming Xia, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 339-351
Closed Access | Times Cited: 2

Improving land surface phenology extraction through space-aware neural networks
Liheng Zhong, Xuecao Li, Heyu Ma, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109274-109274
Closed Access | Times Cited: 1

Tracking effects of extreme drought on coniferous forests from space using dynamic habitat indices
Mojdeh Safaei, Till Kleinebecker, Manuel Weis, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e27864-e27864
Open Access

Spatial and temporal heterogeneity of land surface phenology in Shanxi Province from 2001 to 2020
Haipeng Zhao, Xiangzheng Deng, Zehao Wang
Transactions in GIS (2024) Vol. 28, Iss. 6, pp. 1848-1868
Closed Access

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