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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:

Projecting cropping patterns around Poyang lake and prioritizing areas for policy intervention to promote rice: A cellular automata model
Rui Zhang, Tian Qing, Luguang Jiang, et al.
Land Use Policy (2018) Vol. 74, pp. 248-260
Closed Access | Times Cited: 12

Showing 12 citing articles:

Optimization of the layout of cultivated land combining territorial spatial planning with quality index spatial autocorrelation characteristics: taking Liuhe District of Nanjing as an example
Shu Han, Guancheng Guo, Junjie Liu, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access | Times Cited: 1
Integrating machine learning with Markov chain and cellular automata models for modelling urban land use change
Onuwa Okwuashi, Christopher E. Ndehedehe
Remote Sensing Applications Society and Environment (2020) Vol. 21, pp. 100461-100461
Open Access | Times Cited: 56
Projecting the future impacts of China’s cropland balance policy on ecosystem services under the shared socioeconomic pathways
Xia Li, Yimin Chen
Journal of Cleaner Production (2019) Vol. 250, pp. 119489-119489
Closed Access | Times Cited: 49
Optimize the spatial distribution of crop water consumption based on a cellular automata model: A case study of the middle Heihe River basin, China
Liuyue He, Jianxia Bao, André Daccache, et al.
The Science of The Total Environment (2020) Vol. 720, pp. 137569-137569
Closed Access | Times Cited: 36
Tracking and analyzing the spatio-temporal changes of rice planting structure in Poyang Lake using multi-model fusion method with sentinel-2 multi temporal data
Fenglan Pi, Chen Yang, Guoqing Huang, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320781-e0320781
Open Access
Projection of future land use/cover change in the Izeh-Pyon Plain of Iran using CA-Markov model
Farzad Moradi, Hesam Seyed Kaboli, Babak Lashkar-Ara
Arabian Journal of Geosciences (2020) Vol. 13, Iss. 19
Closed Access | Times Cited: 25
Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms
Lihong Zhu, Xiangnan Liu, Ling Wu, et al.
GIScience & Remote Sensing (2021) Vol. 58, Iss. 5, pp. 733-755
Closed Access | Times Cited: 22
From multiple cropping frequency to multiple cropping system: A new perspective for the characterization of cropland use intensity
Ge Shen, Qiangyi Yu, Qingbo Zhou, et al.
Agricultural Systems (2022) Vol. 204, pp. 103535-103535
Closed Access | Times Cited: 10
A split-and-perturb decomposition of number-conserving cellular automata
Barbara Wolnik, Anna Nenca, Jan Baetens, et al.
Physica D Nonlinear Phenomena (2020) Vol. 413, pp. 132645-132645
Open Access | Times Cited: 13
Regional Ecological Risk Assessment with Respect to Human Disturbance in the Poyang Lake Region (PYLR) Using Production–Living–Ecology Analysis
Hui Wang
Journal of the Indian Society of Remote Sensing (2020) Vol. 49, Iss. 2, pp. 449-460
Closed Access | Times Cited: 13
All binary number-conserving cellular automata based on adjacent cells are intrinsically one-dimensional
Barbara Wolnik, Bernard De Baets
Physical review. E (2019) Vol. 100, Iss. 2
Open Access | Times Cited: 6
A decomposition theorem for number-conserving multi-state cellular automata on triangular grids
Barbara Wolnik, Anna Nenca, Bernard De Baets
Theoretical Computer Science (2023) Vol. 953, pp. 113795-113795
Open Access | Times Cited: 1
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