Hanfa Xing

1.3k total citations · 1 hit paper
35 papers, 879 citations indexed

About

Hanfa Xing is a scholar working on Global and Planetary Change, Transportation and Atmospheric Science. According to data from OpenAlex, Hanfa Xing has authored 35 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 12 papers in Transportation and 8 papers in Atmospheric Science. Recurrent topics in Hanfa Xing's work include Land Use and Ecosystem Services (15 papers), Human Mobility and Location-Based Analysis (11 papers) and Remote Sensing and Land Use (8 papers). Hanfa Xing is often cited by papers focused on Land Use and Ecosystem Services (15 papers), Human Mobility and Location-Based Analysis (11 papers) and Remote Sensing and Land Use (8 papers). Hanfa Xing collaborates with scholars based in China, Hong Kong and Netherlands. Hanfa Xing's co-authors include Yuan Meng, Jinwei Dong, Zhichao Li, Ping Fu, Jianghao Wang, Nicholas Hamm, Wenkai Liu, Dongyang Hou, Man Sing Wong and Kaixuan Fan and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Hanfa Xing

34 papers receiving 855 citations

Hit Papers

Exploring the seasonal effects of urban morphology on lan... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hanfa Xing China 16 471 287 226 200 143 35 879
Jialyu He China 10 449 1.0× 285 1.0× 79 0.3× 81 0.4× 111 0.8× 12 714
Yuan Meng China 13 344 0.7× 249 0.9× 86 0.4× 105 0.5× 74 0.5× 35 638
Jorge E. Patiño Colombia 13 499 1.1× 159 0.6× 133 0.6× 156 0.8× 130 0.9× 27 828
Ke Mai China 7 529 1.1× 478 1.7× 68 0.3× 73 0.4× 99 0.7× 11 841
Cidália C. Fonte Portugal 16 443 0.9× 107 0.4× 349 1.5× 126 0.6× 198 1.4× 53 964
Ferri Stefano Italy 10 531 1.1× 117 0.4× 161 0.7× 75 0.4× 156 1.1× 24 768
Yatao Zhang China 12 402 0.9× 321 1.1× 76 0.3× 84 0.4× 59 0.4× 21 653
Franz Schug Germany 13 602 1.3× 106 0.4× 344 1.5× 171 0.9× 131 0.9× 24 978
Johannes Uhl United States 19 416 0.9× 90 0.3× 197 0.9× 45 0.2× 78 0.5× 56 961
Hongzan Jiao China 18 248 0.5× 239 0.8× 46 0.2× 81 0.4× 110 0.8× 46 776

Countries citing papers authored by Hanfa Xing

Since Specialization
Citations

This map shows the geographic impact of Hanfa Xing's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hanfa Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanfa Xing more than expected).

Fields of papers citing papers by Hanfa Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanfa Xing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hanfa Xing. The network helps show where Hanfa Xing may publish in the future.

Co-authorship network of co-authors of Hanfa Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Hanfa Xing. A scholar is included among the top collaborators of Hanfa Xing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanfa Xing. Hanfa Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xing, Hanfa, et al.. (2025). Parcel-Based Cropland Change Detection Through Boundary Extraction Using a Feature Difference Enhanced Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 27128–27141.
3.
Hu, Sheng, et al.. (2024). Identifying urban villages: an attention-based deep learning approach that integrates remote sensing and street-level images. International Journal of Geographical Information Systems. 39(6). 1247–1269. 1 indexed citations
4.
Liu, Wenkai, et al.. (2024). Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones. Sustainable Cities and Society. 103. 105268–105268. 78 indexed citations breakdown →
5.
Liu, Wenkai, et al.. (2024). Integrating street view imagery and taxi trajectory for identifying urban function of street space. Geo-spatial Information Science. 28(3). 1085–1107. 11 indexed citations
6.
Xing, Hanfa, et al.. (2022). Convolution-Transformer Adaptive Fusion Network for Hyperspectral Image Classification. Applied Sciences. 13(1). 492–492. 9 indexed citations
7.
Li, Bin, et al.. (2022). Exploring the Effects of Roadside Vegetation on the Urban Thermal Environment Using Street View Images. International Journal of Environmental Research and Public Health. 19(3). 1272–1272. 15 indexed citations
8.
Meng, Yuan, Man Sing Wong, Hanfa Xing, et al.. (2021). Effects of urban functional fragmentation on nitrogen dioxide (NO2) variation with anthropogenic-emission restriction in China. Scientific Reports. 11(1). 11908–11908. 7 indexed citations
9.
Dong, Jinwei, Nicholas Hamm, Zhichao Li, et al.. (2021). Integrating remote sensing and geospatial big data for urban land use mapping: A review. International Journal of Applied Earth Observation and Geoinformation. 103. 102514–102514. 143 indexed citations
10.
Meng, Yuan, Man Sing Wong, Hanfa Xing, Mei‐Po Kwan, & Rui Zhu. (2021). Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions. ISPRS International Journal of Geo-Information. 10(6). 401–401. 6 indexed citations
11.
12.
Yang, Guang, Yaolong Zhao, Hanfa Xing, et al.. (2020). Understanding the changes in spatial fairness of urban greenery using time-series remote sensing images: A case study of Guangdong-Hong Kong-Macao Greater Bay. The Science of The Total Environment. 715. 136763–136763. 50 indexed citations
13.
Liu, Yang, et al.. (2019). Inferring Spatial Distribution Patterns in Web Maps for Land Cover Mapping. Computer Modeling in Engineering & Sciences. 119(2). 311–330. 1 indexed citations
14.
Meng, Yuan & Hanfa Xing. (2019). Exploring the relationship between landscape characteristics and urban vibrancy: A case study using morphology and review data. Cities. 95. 102389–102389. 113 indexed citations
15.
Xing, Hanfa, Yuan Meng, & Yan Shi. (2018). A dynamic human activity‐driven model for mixed land use evaluation using social media data. Transactions in GIS. 22(5). 1130–1151. 19 indexed citations
16.
Xing, Hanfa, et al.. (2017). Employing Crowdsourced Geographic Information to Classify Land Cover with Spatial Clustering and Topic Model. Remote Sensing. 9(6). 602–602. 17 indexed citations
17.
Meng, Yuan, Dongyang Hou, & Hanfa Xing. (2017). Rapid Detection of Land Cover Changes Using Crowdsourced Geographic Information: A Case Study of Beijing, China. Sustainability. 9(9). 1547–1547. 10 indexed citations
18.
Zhou, Xiaoguang, et al.. (2016). A Spatio-Temporal VGI Model Considering Trust-Related Information. ISPRS International Journal of Geo-Information. 5(2). 10–10. 22 indexed citations
19.
Xing, Hanfa, Jun Chen, & Xiaoguang Zhou. (2015). A Geoweb-Based Tagging System for Borderlands Data Acquisition. ISPRS International Journal of Geo-Information. 4(3). 1530–1548. 10 indexed citations
20.
Xing, Hanfa, et al.. (2010). An mixed access control method based on trust and role. 40. 552–555. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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