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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:

Divergent Sensitivities of Spaceborne Solar-Induced Chlorophyll Fluorescence to Drought among Different Seasons and Regions
Xiaofang Sun, Meng Wang, Guicai Li, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 9, pp. 542-542
Open Access | Times Cited: 18

Showing 18 citing articles:

Drought sensitivity of vegetation photosynthesis along the aridity gradient in northern China
Hao‐jie Xu, Xin‐ping Wang, Chuanyan Zhao
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102418-102418
Open Access | Times Cited: 58
Downscaled solar-induced chlorophyll fluorescence has great potential for monitoring the response of vegetation to drought in the Yellow River Basin, China: Insights from an extreme event
Guangpo Geng, Rui Yang, Leizhen Liu
Ecological Indicators (2022) Vol. 138, pp. 108801-108801
Open Access | Times Cited: 33
Ecological drought sensitivity assessment of winter wheat in the Huang-Huai-Hai plain, China
Yanan Wang, Xiu Cao, Yulu Zhang, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access
Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades
Dawei Wang, D. Jia, Yao Zhang, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
The superiority of solar-induced chlorophyll fluorescence sensitivity over other vegetation indices to drought
Qian Liu, Fangmin Zhang, Xiaohan Zhao
Journal of Arid Environments (2022) Vol. 204, pp. 104787-104787
Closed Access | Times Cited: 15
Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020
Jie Li, Mengfei Xi, Ziwu Pan, et al.
Water (2022) Vol. 14, Iss. 19, pp. 2978-2978
Open Access | Times Cited: 15
Application of the Vegetation Condition Index in the Diagnosis of Spatiotemporal Distribution of Agricultural Droughts: A Case Study Concerning the State of Espírito Santo, Southeastern Brazil
Adriano Pósse Senhorelo, Elias Fernandes de Sousa, Alexandre Rosa dos Santos, et al.
Diversity (2023) Vol. 15, Iss. 3, pp. 460-460
Open Access | Times Cited: 8
Drought stress detection technique for wheat crop using machine learning
Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur
PeerJ Computer Science (2023) Vol. 9, pp. e1268-e1268
Open Access | Times Cited: 8
Using enhanced vegetation index and land surface temperature to reconstruct the solar-induced chlorophyll fluorescence of forests and grasslands across latitude and phenology
Peipei Zhang, Haiqiu Liu, Hangzhou Li, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 6
xCO2 temporal variability above Brazilian agroecosystems: A remote sensing approach
Luiz Fernando Favacho Morais Filho, Kamila Cunha de Meneses, Gustavo André de Araújo Santos, et al.
Journal of Environmental Management (2021) Vol. 288, pp. 112433-112433
Open Access | Times Cited: 15
Canopy Solar-Induced Chlorophyll Fluorescence and Its Link to Transpiration in a Temperate Evergreen Needleleaf Forest during the Fall Transition
Weiwei Cong, Kaijie Yang, Feng Wang
Forests (2022) Vol. 13, Iss. 1, pp. 74-74
Open Access | Times Cited: 9
High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems
Luis Miguel da Costa, Gislaine Costa de Mendonça, Gustavo André de Araújo Santos, et al.
Environmental Research (2022) Vol. 218, pp. 114991-114991
Open Access | Times Cited: 6
Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices
Trina Merrick, Ralf Bennartz, María Luisa S. P. Jorge, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5101-5101
Open Access | Times Cited: 1
Peer Review #4 of "Drought stress detection technique for wheat crop using machine learning (v0.2)"

(2023)
Open Access
Peer Review #1 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"

(2023)
Open Access
Peer Review #3 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"

(2023)
Open Access
Peer Review #2 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"

(2023)
Open Access
Peer Review #1 of "Drought stress detection technique for wheat crop using machine learning (v0.2)"

(2023)
Open Access
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