Huafei Yu

428 total citations
21 papers, 317 citations indexed

About

Huafei Yu is a scholar working on Environmental Engineering, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Huafei Yu has authored 21 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 9 papers in Global and Planetary Change and 6 papers in Ocean Engineering. Recurrent topics in Huafei Yu's work include Automated Road and Building Extraction (6 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Watershed Management Studies (4 papers). Huafei Yu is often cited by papers focused on Automated Road and Building Extraction (6 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Watershed Management Studies (4 papers). Huafei Yu collaborates with scholars based in China, Japan and Sweden. Huafei Yu's co-authors include Yingchun Fu, Yaolong Zhao, Le Li, Jiufeng Li, Min Yang, Tinghua Ai, Xianzhe Tang, Lina Huang, Wei Liu and Fangfang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Expert Systems with Applications.

In The Last Decade

Huafei Yu

20 papers receiving 317 citations

Peers

Huafei Yu

GPC

WST

Timofey Samsonov Russia

V. Bhanumurthy India

Sam Amirebrahimi Australia

Daniela Ballari Ecuador

Enes Yıldırım United States

Michael P. Finn United States

Lawrence V. Stanislawski United States

Fabio Oriani Switzerland

G. R. Aggett United States

Roberto Tomasoni Italy

Timofey Samsonov Russia

Huafei Yu

153 ×0.7

GPC

215 ×1.5

137 ×2.0

28 ×0.5

WST

17 ×0.3

Citations per year, relative to Huafei Yu Huafei Yu (= 1×) peers Timofey Samsonov

Countries citing papers authored by Huafei Yu

Since Specialization

Citations

This map shows the geographic impact of Huafei Yu'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 Huafei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huafei Yu more than expected).

Fields of papers citing papers by Huafei Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huafei Yu. 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 Huafei Yu. The network helps show where Huafei Yu may publish in the future.

Co-authorship network of co-authors of Huafei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Huafei Yu. A scholar is included among the top collaborators of Huafei Yu 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 Huafei Yu. Huafei Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kong, Bo Hyun, Tinghua Ai, Min Yang, et al.. (2025). Integrating morphological knowledge of contour data and graph neural network for landform type recognition. International Journal of Geographical Information Systems. 39(7). 1429–1459. 1 indexed citations

Gong, Chen, et al.. (2025). A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network. ISPRS International Journal of Geo-Information. 14(2). 84–84.

Wu, Hao, Huafei Yu, & Tinghua Ai. (2024). Topographic analysis supported by a knowledge graph: A case of ridge landscape recognition. SHILAP Revista de lepidopterología. XLVIII-1-2024. 721–725. 1 indexed citations

Ai, Tinghua, et al.. (2024). A road generalization method using graph convolutional network based on mesh-line structure unit. Geocarto International. 39(1). 4 indexed citations

Zhang, Pengxin, et al.. (2024). Integrating metro passenger flow data to improve the classification of urban functional regions using a heterogeneous graph neural network. International Journal of Digital Earth. 17(1). 4 indexed citations

Ai, Tinghua, et al.. (2024). A vector-based coastline shape classification approach using sequential deep learning model. International Journal of Applied Earth Observation and Geoinformation. 129. 103810–103810. 5 indexed citations

Wei, Linyong, S. S. Jiang, Liliang Ren, et al.. (2023). An Extended Triple Collocation Method With Maximized Correlation for Near Global‐Land Precipitation Fusion. Geophysical Research Letters. 50(24). 9 indexed citations

Yu, Huafei, Tinghua Ai, Min Yang, Weiming Huang, & Lars Harrie. (2023). A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation. International Journal of Digital Earth. 16(1). 1828–1852. 10 indexed citations

Yu, Huafei, et al.. (2023). Integrating domain knowledge and graph convolutional neural networks to support river network selection. Transactions in GIS. 27(7). 1898–1927. 4 indexed citations

10.

Ai, Tinghua, et al.. (2023). A point selection method in map generalization using graph convolutional network model. Cartography and Geographic Information Science. 51(1). 20–40. 14 indexed citations

11.

Ai, Tinghua, et al.. (2023). A Point Cluster Generalization Method based on Graph Convolutional Network. Abstracts of the ICA. 6. 1–2. 1 indexed citations

12.

Yu, Huafei, et al.. (2022). A Long Short-Term Memory-Based Approach for Detecting Turns and Generating Road Intersections from Vehicle Trajectories. Sensors. 22(18). 6997–6997. 4 indexed citations

13.

Yu, Huafei, et al.. (2022). A recognition method for drainage patterns using a graph convolutional network. International Journal of Applied Earth Observation and Geoinformation. 107. 102696–102696. 36 indexed citations

14.

Tang, Xianzhe, Takashi Machimura, Jiufeng Li, Huafei Yu, & Wei Liu. (2022). Evaluating Seasonal Wildfire Susceptibility and Wildfire Threats to Local Ecosystems in the Largest Forested Area of China. Earth s Future. 10(5). 20 indexed citations

15.

Yu, Huafei, et al.. (2022). Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network. Expert Systems with Applications. 211. 118639–118639. 14 indexed citations

16.

Tang, Xianzhe, Jiufeng Li, Wei Liu, Huafei Yu, & Fangfang Wang. (2021). A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments. Stochastic Environmental Research and Risk Assessment. 36(8). 2319–2336. 19 indexed citations

17.

Tang, Xianzhe, Yuqin Shu, Wei Liu, et al.. (2021). An Optimized Weighted Naïve Bayes Method for Flood Risk Assessment. Risk Analysis. 41(12). 2301–2321. 16 indexed citations

18.

Yu, Huafei, Yaolong Zhao, Tao Xu, et al.. (2021). A high‐efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal. Transactions in GIS. 25(4). 1716–1740. 16 indexed citations

19.

Li, Jiufeng, et al.. (2020). A Novel SUHI Referenced Estimation Method for Multicenters Urban Agglomeration using DMSP/OLS Nighttime Light Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 1416–1425. 29 indexed citations

20.

Yu, Huafei, et al.. (2019). Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China. International Journal of Environmental Research and Public Health. 16(19). 3613–3613. 34 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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