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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:

Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling
Yuao Mei, Zhipeng Gui, Jing‐Hang Wu, et al.
Geo-spatial Information Science (2022) Vol. 25, Iss. 3, pp. 365-382
Open Access | Times Cited: 24

Showing 24 citing articles:

A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity
Bin Wu, Chengshu Yang, Qiusheng Wu, et al.
Computers Environment and Urban Systems (2022) Vol. 99, pp. 101911-101911
Closed Access | Times Cited: 38
A high-resolution gridded grazing dataset of grassland ecosystem on the Qinghai–Tibet Plateau in 1982–2015
Nan Meng, Lijing Wang, Wenchao Qi, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 24
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021
Weipeng Lu, Qihao Weng
Computers Environment and Urban Systems (2024) Vol. 108, pp. 102072-102072
Open Access | Times Cited: 5
Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis
Yongbo Peng, Quan Liu
Computers Environment and Urban Systems (2025) Vol. 118, pp. 102257-102257
Closed Access
High-resolution population mapping by fusing remote sensing and social sensing data considering the spatial scale mismatch issue
Peijun Feng, Zheng Ma, Jining Yan, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
A population spatialization method based on the integration of feature selection and an improved random forest model
Zhen Hong Zhao, Hongmei Guo, Xueli Jiang, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0321263-e0321263
Open Access
Guiding and constraining reclamation for coastal zone through identification of response thresholds for ecosystem services supply–demand relationships
Chenghao Liu, Xiaolu Yan, Han Zeng-lin, et al.
Land Degradation and Development (2024) Vol. 35, Iss. 5, pp. 1804-1817
Closed Access | Times Cited: 4
High-Precision Population Spatialization in Metropolises Based on Ensemble Learning: A Case Study of Beijing, China
Wenxuan Bao, Adu Gong, Yiran Zhao, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3654-3654
Open Access | Times Cited: 15
Differences in Urban Development in China from the Perspective of Point of Interest Spatial Co-Occurrence Patterns
Guangsheng Dong, Rui Li, Fa Li, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 1, pp. 24-24
Open Access | Times Cited: 2
Modeling population distribution: A visual and quantitative analysis of gradient boosting and deep learning models for multi‐output spatial disaggregation
Marina Georgati, João Monteiro, Bruno Martins, et al.
Transactions in GIS (2024) Vol. 28, Iss. 2, pp. 130-153
Closed Access | Times Cited: 2
Study on Spatialization and Spatial Pattern of Population Based on Multi-Source Data—A Case Study of the Urban Agglomeration on the North Slope of Tianshan Mountain in Xinjiang, China
Y. ZHANG, Hongwei Wang, Kui Luo, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4106-4106
Open Access | Times Cited: 2
Dual-environment feature fusion-based method for estimating building-scale population distributions
Guangyu Liu, Rui Li, Jing Xia, et al.
Geo-spatial Information Science (2023), pp. 1-16
Open Access | Times Cited: 6
Integrating Street-View Imagery and Points of Interest for Refining Population Spatialization: A Case Study in Wuhan City
Yaxian Qing, Huayi Wu, Kunlun Qi, et al.
Sustainable Cities and Society (2024) Vol. 115, pp. 105883-105883
Closed Access | Times Cited: 1
Adaptive weighted least squares (AWLS): A new vector-based model to improve urban population estimation at small-area scale using morphology and attractiveness criteria
Mina Sadeghi, Mohammad Karimi, Hamidreza Rabiei‐Dastjerdi, et al.
Applied Geography (2023) Vol. 158, pp. 103050-103050
Closed Access | Times Cited: 4
A systematic review of spatial disaggregation methods for climate action planning
Shruthi Patil, Noah Pflugradt, Jann Michael Weinand, et al.
Energy and AI (2024) Vol. 17, pp. 100386-100386
Open Access | Times Cited: 1
Improved Population Mapping for China Using the 3D Building, Nighttime Light, Points-of-Interest, and Land Use/Cover Data within a Multiscale Geographically Weighted Regression Model
Zhen Lei, Shulei Zhou, Penggen Cheng, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 9, pp. 335-335
Open Access | Times Cited: 1
Multi-Resolution Population Mapping Based on a Stepwise Downscaling Approach Using Multisource Data
Yan Jin, Rui Liu, Haoyu Fan, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1947-1947
Open Access | Times Cited: 3
Learning the spatial co-occurrence for browsing interests extraction of domain users on public map service platforms
Guangsheng Dong, Rui Li, Huayi Wu, et al.
Geo-spatial Information Science (2022) Vol. 27, Iss. 2, pp. 455-474
Open Access | Times Cited: 4
Partition refinement of WorldPop population spatial distribution data method: A case study of Zhuhai, China
Rong Zhao, Shuang Wang, Yu Zhang, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301127-e0301127
Open Access
Scale effects-aware bottom-up population estimation using weakly supervised learning
Jing Xia, Rui Li, Xinrui Liu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
A novel approach to improve population mapping considering facility-based service capacity and land livability
Yu Ma, Chen Zhou, Manchun Li
International Journal of Geographical Information Science (2024), pp. 1-30
Closed Access
High-resolution population mapping based on SDGSAT-1 glimmer imagery and deep learning: a case study of the Guangdong-Hong Kong-Marco Greater Bay Area
Haoxuan Duan, Zhongqi Shi, Ji Ge, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
Detecting Important Drivers of Gridded Population Modeling With Machine Learning
Viswadeep Lebakula, Daniel B. Adams, Justin Epting, et al.
(2024), pp. 1844-1851
Closed Access
Optimisation Model for Spatialisation of Population Based on Human Footprint Index Correction
Dongfeng Ren, Xin Qiu, Chun Dong, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 12, pp. 429-429
Open Access
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