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:

Application of an integrated system dynamics and cellular automata model for urban growth assessment: A case study of Shanghai, China
Ji Han, Yoshitsugu Hayashi, Xin Cao, et al.
Landscape and Urban Planning (2009) Vol. 91, Iss. 3, pp. 133-141
Closed Access | Times Cited: 291

Showing 1-25 of 291 citing articles:

Simulation of land use spatial pattern of towns and villages based on CA–Markov model
Lingling Sang, Chao Zhang, Jianyu Yang, et al.
Mathematical and Computer Modelling (2010) Vol. 54, Iss. 3-4, pp. 938-943
Open Access | Times Cited: 508

Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative
Maria-Lluïsa Marsal-Llacuna, Joan Colomer, Joaquím Meléndez
Technological Forecasting and Social Change (2014) Vol. 90, pp. 611-622
Closed Access | Times Cited: 488

Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model
Hossein Shafizadeh‐Moghadam, Marco Helbich
Applied Geography (2013) Vol. 40, pp. 140-149
Closed Access | Times Cited: 359

Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models
Chunyang He, Da Zhang, Qingxu Huang, et al.
Environmental Modelling & Software (2015) Vol. 75, pp. 44-58
Closed Access | Times Cited: 337

Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model
Liang Zhou, Xuewei Dang, Qinke Sun, et al.
Sustainable Cities and Society (2020) Vol. 55, pp. 102045-102045
Closed Access | Times Cited: 295

Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy
Yimin Chen, Xia Li, Xiaoping Liu, et al.
International Journal of Geographical Information Science (2013) Vol. 28, Iss. 2, pp. 234-255
Closed Access | Times Cited: 254

Application of Cellular automata and Markov-chain model in geospatial environmental modeling- A review
Pramit Ghosh, Anirban Mukhopadhyay, Abhra Chanda, et al.
Remote Sensing Applications Society and Environment (2017) Vol. 5, pp. 64-77
Closed Access | Times Cited: 206

Trade-offs in land-use competition and sustainable land development in the North China Plain
Gui Jin, Kun Chen, Pei Wang, et al.
Technological Forecasting and Social Change (2019) Vol. 141, pp. 36-46
Closed Access | Times Cited: 200

Deriving suitability factors for CA-Markov land use simulation model based on local historical data
Xin Fu, Xinhao Wang, Yanyan Yang
Journal of Environmental Management (2017) Vol. 206, pp. 10-19
Closed Access | Times Cited: 179

Ecological network assessment in dynamic landscapes: Multi-scenario simulation and conservation priority analysis
Jing Gao, Jian Gong, Yao Li, et al.
Land Use Policy (2024) Vol. 139, pp. 107059-107059
Closed Access | Times Cited: 32

Modeling dynamic urban growth using cellular automata and particle swarm optimization rules
Yongjiu Feng, Yan Liu, Xiaohua Tong, et al.
Landscape and Urban Planning (2011) Vol. 102, Iss. 3, pp. 188-196
Closed Access | Times Cited: 201

Actors and factors in land-use simulation: The challenge of urban shrinkage
Dagmar Haase, Annegret Haase, Nadja Kabisch, et al.
Environmental Modelling & Software (2012) Vol. 35, pp. 92-103
Closed Access | Times Cited: 197

Urban Growth Prediction: A Review of Computational Models and Human Perceptions
Dimitris Triantakonstantis, Giorgos Mountrakis
Journal of Geographic Information System (2012) Vol. 04, Iss. 06, pp. 555-587
Open Access | Times Cited: 160

Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm
Ahmed Mustafà, Alison Heppenstall, Hichem Omrani, et al.
Computers Environment and Urban Systems (2017) Vol. 67, pp. 147-156
Open Access | Times Cited: 157

Spatiotemporal urban expansion in Pune metropolis, India using remote sensing
Lakshmi N. Kantakumar, Shamita Kumar, Karl Schneider
Habitat International (2015) Vol. 51, pp. 11-22
Closed Access | Times Cited: 154

Analyzing and modeling land use land cover change (LUCC) in the Daqing City, China
Wanhui Yu, Shuying Zang, Changshan Wu, et al.
Applied Geography (2010) Vol. 31, Iss. 2, pp. 600-608
Closed Access | Times Cited: 146

Exploring the driving forces behind deforestation in the state of Mexico (Mexico) using geographically weighted regression
Noel Bonfilio Pineda Jaimes, Joaquín Bosque Sendra, Montserrat Gómez Delgado, et al.
Applied Geography (2010) Vol. 30, Iss. 4, pp. 576-591
Closed Access | Times Cited: 139

A multi-scenario forecast of urban change: A study on urban growth in the Algarve
Eric Vaz, Peter Nijkamp, Marco Paìnho, et al.
Landscape and Urban Planning (2011) Vol. 104, Iss. 2, pp. 201-211
Open Access | Times Cited: 138

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: 138

Six fundamental aspects for conceptualizing multidimensional urban form: A spatial mapping perspective
Elizabeth A. Wentz, Abigail M. York, Marina Alberti, et al.
Landscape and Urban Planning (2018) Vol. 179, pp. 55-62
Closed Access | Times Cited: 132

Simulation and analysis of urban growth scenarios for the Greater Shanghai Area, China
Qian Zhang, Yifang Ban, Jiyuan Liu, et al.
Computers Environment and Urban Systems (2011) Vol. 35, Iss. 2, pp. 126-139
Closed Access | Times Cited: 127

Combining system dynamics and hybrid particle swarm optimization for land use allocation
Xiaoping Liu, Jinpei Ou, Xia Li, et al.
Ecological Modelling (2013) Vol. 257, pp. 11-24
Closed Access | Times Cited: 125

Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model
Chi-Farn Chen, Nguyễn Thanh Sơn, Ni‐Bin Chang, et al.
Remote Sensing (2013) Vol. 5, Iss. 12, pp. 6408-6426
Open Access | Times Cited: 124

A system dynamics model for simulating urban sustainability performance: A China case study
Yongtao Tan, Liudan Jiao, Chenyang Shuai, et al.
Journal of Cleaner Production (2018) Vol. 199, pp. 1107-1115
Open Access | Times Cited: 122

Simulating land use/land cover change in an arid region with the coupling models
Qingzheng Wang, Qingyu Guan, Jinkuo Lin, et al.
Ecological Indicators (2020) Vol. 122, pp. 107231-107231
Open Access | Times Cited: 120

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