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:

Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District
Jun Yang, Andong Guo, Yonghua Li, et al.
GIScience & Remote Sensing (2018) Vol. 56, Iss. 3, pp. 388-405
Closed Access | Times Cited: 137

Showing 1-25 of 137 citing articles:

Land use transformation and eco-environmental effects based on production-living-ecological spatial synergy: evidence from Shaanxi Province, China
Chenxi Li, Jingyao Wu
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 27, pp. 41492-41504
Closed Access | Times Cited: 85

Spatial differentiation of urban wind and thermal environment in different grid sizes
Jun Yang, Yichen Wang, Xiangming Xiao, et al.
Urban Climate (2019) Vol. 28, pp. 100458-100458
Closed Access | Times Cited: 128

Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures
Xun Liang, Qingfeng Guan, Keith Clarke, et al.
Landscape and Urban Planning (2020) Vol. 205, pp. 103960-103960
Closed Access | Times Cited: 109

Relationship between urban construction land expansion and population/economic growth in Liaoning Province, China
Zeyang Li, Weixin Luan, Zhenchao Zhang, et al.
Land Use Policy (2020) Vol. 99, pp. 105022-105022
Closed Access | Times Cited: 98

Quantifying the Effects of Urban Form on Land Surface Temperature in Subtropical High-Density Urban Areas Using Machine Learning
Yanwei Sun, Chao Gao, Jialin Li, et al.
Remote Sensing (2019) Vol. 11, Iss. 8, pp. 959-959
Open Access | Times Cited: 93

Identification and analysis of urban functional area in Hangzhou based on OSM and POI data
Ziyi Wang, Debin Ma, Dongqi Sun, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251988-e0251988
Open Access | Times Cited: 85

Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation
Yuehui Qian, Weiran Xing, Xuefeng Guan, et al.
The Science of The Total Environment (2020) Vol. 722, pp. 137738-137738
Closed Access | Times Cited: 81

Determining the Boundary and Probability of Surface Urban Heat Island Footprint Based on a Logistic Model
Zhi Qiao, Wu Chen, Dongqi Zhao, et al.
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1368-1368
Open Access | Times Cited: 77

Spatial Responses of Ecosystem Service Value during the Development of Urban Agglomerations
Huisheng Yu, Jun Yang, Dongqi Sun, et al.
Land (2022) Vol. 11, Iss. 2, pp. 165-165
Open Access | Times Cited: 40

Offshore Island Connection Line: A new perspective of coastal urban development boundary simulation and multi-scenario prediction
Fei He, Jun Yang, Yuqing Zhang, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 801-821
Open Access | Times Cited: 40

Analysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities
Pavlos Tsagkis, Efthimios Bakogiannis, Alexandros Nikitas
Sustainable Cities and Society (2022) Vol. 89, pp. 104337-104337
Open Access | Times Cited: 40

Spatiotemporal Monitoring of Urban Sprawl in a Coastal City Using GIS-Based Markov Chain and Artificial Neural Network (ANN)
Shawky Mansour, Eman Ghoneim, Asmaa El-Kersh, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 601-601
Open Access | Times Cited: 29

Sensing-based park cooling performance observation and assessment: A review
Hua Liu, Boze Huang, Cheng Xiang, et al.
Building and Environment (2023) Vol. 245, pp. 110915-110915
Closed Access | Times Cited: 29

Multi-spectral remote sensing and GIS-based analysis for decadal land use land cover changes and future prediction using random forest tree and artificial neural network
Quoc Bao Pham, Sk Ajim Ali, Farhana Parvin, et al.
Advances in Space Research (2024) Vol. 74, Iss. 1, pp. 17-47
Closed Access | Times Cited: 15

Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China
Chenxi Li, Xing Gao, Jingyao Wu, et al.
Environmental Monitoring and Assessment (2019) Vol. 191, Iss. 7
Closed Access | Times Cited: 75

Retrieval of Total Precipitable Water from Himawari-8 AHI Data: A Comparison of Random Forest, Extreme Gradient Boosting, and Deep Neural Network
Yeonjin Lee, Daehyeon Han, Myoung‐Hwan Ahn, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1741-1741
Open Access | Times Cited: 57

Investigation the Robustness of Standard Classification Methods for Defining Urban Heat Islands
Yingshuang Lu, Tong He, Xinliang Xu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 11386-11394
Open Access | Times Cited: 46

Evaluating the impacts of land use/land cover changes across topography against land surface temperature in Cameron Highlands
Darren How Jin Aik, Mohd Hasmadi Ismail, Farrah Melissa Muharam, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0252111-e0252111
Open Access | Times Cited: 44

Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery
Zhen Qian, Min Chen, Teng Zhong, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102680-102680
Open Access | Times Cited: 35

Multi-Scenario Simulation of Production-Living-Ecological Space in the Poyang Lake Area Based on Remote Sensing and RF-Markov-FLUS Model
Huizhong Li, Chaoyang Fang, Yang Xia, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2830-2830
Open Access | Times Cited: 33

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