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:

Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
Cheolhee Yoo, Daehyeon Han, Jungho Im, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 157, pp. 155-170
Closed Access | Times Cited: 175

Showing 1-25 of 175 citing articles:

LCZ Generator: A Web Application to Create Local Climate Zone Maps
Matthias Demuzere, Jonas Kittner, Benjamin Bechtel
Frontiers in Environmental Science (2021) Vol. 9
Open Access | Times Cited: 196

The urban morphology on our planet – Global perspectives from space
Xiao Xiang Zhu, Chunping Qiu, Jingliang Hu, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112794-112794
Open Access | Times Cited: 120

Mapping local climate zones for cities: A large review
Fan Huang, Sida Jiang, Wenfeng Zhan, et al.
Remote Sensing of Environment (2023) Vol. 292, pp. 113573-113573
Closed Access | Times Cited: 72

Coastline extraction using remote sensing: a review
Weiwei Sun, Chao Chen, Weiwei Liu, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 48

Seasonal surface urban heat island analysis based on local climate zones
Yantao Xi, Shuangqiao Wang, Yunxia Zou, et al.
Ecological Indicators (2024) Vol. 159, pp. 111669-111669
Open Access | Times Cited: 18

So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]
Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 8, Iss. 3, pp. 76-89
Closed Access | Times Cited: 110

Combining expert and crowd-sourced training data to map urban form and functions for the continental US
Matthias Demuzere, Steve Hankey, Gerald Mills, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 106

Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution
Tzu‐Hsin Karen Chen, Chunping Qiu, Michael Schmitt, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112096-112096
Open Access | Times Cited: 90

Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks
Johannes Rosentreter, Ron Hagensieker, Björn Waske
Remote Sensing of Environment (2019) Vol. 237, pp. 111472-111472
Closed Access | Times Cited: 86

Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks
Young Jun Kim, Hyun‐Cheol Kim, Daehyeon Han, et al.
˜The œcryosphere (2020) Vol. 14, Iss. 3, pp. 1083-1104
Open Access | Times Cited: 83

Mapping Local Climate Zones and Their Applications in European Urban Environments: A Systematic Literature Review and Future Development Trends
Michal Lehnert, Stevan Savić, Dragan Milošević, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 4, pp. 260-260
Open Access | Times Cited: 79

Improved machine-learning mapping of local climate zones in metropolitan areas using composite Earth observation data in Google Earth Engine
Lamuel Chi Hay Chung, Jing Xie, Chao Ren
Building and Environment (2021) Vol. 199, pp. 107879-107879
Closed Access | Times Cited: 63

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency
Yoojin Kang, Eunna Jang, Jungho Im, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2019-2035
Open Access | Times Cited: 52

Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments
Ahmed Elbeltagi, Aman Srivastava, Jinsong Deng, et al.
Agricultural Water Management (2023) Vol. 283, pp. 108302-108302
Open Access | Times Cited: 33

How does urban heat island differ across urban functional zones? Insights from 2D/3D urban morphology using geospatial big data
Anqi Lin, Hao Wu, Wenting Luo, et al.
Urban Climate (2023) Vol. 53, pp. 101787-101787
Closed Access | Times Cited: 30

Exploring the seasonality of surface urban heat islands using enhanced land surface temperature in a semi-arid city
Liying Han, Linlin Lu, Peng Fu, et al.
Urban Climate (2023) Vol. 49, pp. 101455-101455
Open Access | Times Cited: 28

Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models
Ahmed Elbeltagi, Aman Srivastava, Muhsan Ehsan, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101759-101759
Open Access | Times Cited: 13

Linking land surface temperature and local climate zones in nine Croatian cities
Matej Žgela, Ivana Herceg Bulić, Jakov Lozuk, et al.
Urban Climate (2024) Vol. 54, pp. 101842-101842
Closed Access | Times Cited: 9

Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions
Cheolhee Yoo, Huijuan Xiao, Qing-wei Zhong, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 9

Mapping local climate zones and its applications at the global scale: A systematic review of the last decade of progress and trend
Renfeng Wang, Mengmeng Wang, Chao Ren, et al.
Urban Climate (2024) Vol. 57, pp. 102129-102129
Closed Access | Times Cited: 9

Application and future of local climate zone system in urban climate assessment and planning—Bibliometrics and meta-analysis
Hongchi Zhang, Jin Bai, Jun Zhao, et al.
Cities (2024) Vol. 150, pp. 104999-104999
Closed Access | Times Cited: 7

Investigating 2D/3D factors influencing surface urban heat islands in mountainous cities using explainable machine learning
Zihao An, Yujia Ming, Yong Liu, et al.
Urban Climate (2025) Vol. 59, pp. 102325-102325
Closed Access | Times Cited: 1

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