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 new approach to characterising and predicting crop rotations using national-scale annual crop maps
Emily V. Upcott, Peter A. Henrys, John W. Redhead, et al.
The Science of The Total Environment (2022) Vol. 860, pp. 160471-160471
Open Access | Times Cited: 19

Showing 19 citing articles:

Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification
Bingwen Qiu, Zeyu Jian, Peng Yang, et al.
Agricultural Systems (2024) Vol. 216, pp. 103878-103878
Closed Access | Times Cited: 15

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

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

National Horizon Scanning for Future Crops Under a Changing UK Climate
John W. Redhead, Matthew Brown, Jeff Price, et al.
Climate Resilience and Sustainability (2025) Vol. 4, Iss. 1
Open Access

Zambia's Agricultural Input Support Programme: Estimating the Impact of the Voucher Delivery System on Crop Diversification
Obrian Ndhlovu, Edwin Muchapondwa
Australian Journal of Agricultural and Resource Economics (2025)
Open Access

Evaluation of an open-source nutrient delivery model for estimating pesticide loads in river catchments
Emily V. Upcott, Virginie Keller, Daniel S. Read, et al.
The Science of The Total Environment (2025) Vol. 975, pp. 179223-179223
Open Access

Towards automation of national scale cropping pattern mapping by coupling Sentinel-1/2 data: A 10-m map of crop rotation systems for wheat in China
Bingwen Qiu, Zhengrong Li, Peng Yang, et al.
Agricultural Systems (2025) Vol. 227, pp. 104338-104338
Closed Access

A robust framework for mapping complex cropping patterns: The first national-scale 10 m map with 10 crops in China using Sentinel 1/2 images
Bingwen Qiu, Fangzheng Wu, Xiang Hu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 224, pp. 361-381
Closed Access

A crop sequence dataset of the German federal state of North Rhine-Westphalia from 2019-2024
Christoph Pahmeyer, Till Kuhn, Hugo Storm
Data in Brief (2025), pp. 111617-111617
Open Access

Dynamics of crop category choices reveal strategies and tactics used by smallholder farmers in India to cope with unreliable water availability
Mariem Baccar, Hélène Raynal, M. Sekhar, et al.
Agricultural Systems (2023) Vol. 211, pp. 103744-103744
Open Access | Times Cited: 5

Identifying hotspots of greenhouse gas emissions from drained peatlands in the European Union
Quint van Giersbergen, Alexandra Barthelmes, John Couwenberg, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1

Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius dos Santos Dourado, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1

A family of process-based models to simulate landscape use by multiple taxa
Emma Gardner, Robert A. Robinson, Angela Julian, et al.
Landscape Ecology (2024) Vol. 39, Iss. 5
Closed Access

Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius dos Santos Dourado, et al.
Research Square (Research Square) (2024)
Open Access

Integrating Predictive Process Monitoring Techniques in Smart Agriculture
Simona Fioretto, Dino Ienco, Roberto Interdonato, et al.
Lecture notes in computer science (2024), pp. 306-313
Open Access

A novel soybean mapping index within the global optimal time window
Guilong Xiao, Jianxi Huang, Jianjian Song, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 120-133
Closed Access

Crop Prediction Uncertainty Maps
Luca Sartore, Claire G. Boryan, Arthur Rosales, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 9, pp. 4735-4739
Closed Access

Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius Vieira Mesquita, et al.
Research Square (Research Square) (2024)
Open Access

Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning
Leandro Parente, Lindsey Sloat, Vinícius Vieira Mesquita, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access

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