Cheng Fu

486 total citations
30 papers, 310 citations indexed

About

Cheng Fu is a scholar working on Transportation, Geography, Planning and Development and Signal Processing. According to data from OpenAlex, Cheng Fu has authored 30 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 9 papers in Geography, Planning and Development and 7 papers in Signal Processing. Recurrent topics in Cheng Fu's work include Geographic Information Systems Studies (9 papers), Human Mobility and Location-Based Analysis (7 papers) and Data Management and Algorithms (6 papers). Cheng Fu is often cited by papers focused on Geographic Information Systems Studies (9 papers), Human Mobility and Location-Based Analysis (7 papers) and Data Management and Algorithms (6 papers). Cheng Fu collaborates with scholars based in Switzerland, United States and China. Cheng Fu's co-authors include Robert Weibel, Vanessa Frías-Martínez, Kathleen Stewart, Lingzi Hong, Paul M. Torrens, Zhiyong Zhou, Haosheng Huang, Grant McKenzie, Jiahui Wu and Lei Zhang and has published in prestigious journals such as Remote Sensing of Environment, Renewable Energy and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Cheng Fu

29 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Fu Switzerland 11 96 60 46 45 34 30 310
Anshu Zhang Hong Kong 14 132 1.4× 46 0.8× 102 2.2× 59 1.3× 20 0.6× 36 491
Levente Juhász United States 13 109 1.1× 36 0.6× 81 1.8× 64 1.4× 104 3.1× 35 432
Erika Fille Legara Philippines 10 135 1.4× 53 0.9× 49 1.1× 83 1.8× 7 0.2× 30 365
Shishuo Xu China 11 140 1.5× 131 2.2× 78 1.7× 15 0.3× 29 0.9× 25 375
Jiří Horák Czechia 11 125 1.3× 55 0.9× 26 0.6× 46 1.0× 21 0.6× 40 408
Alessia Calafiore United Kingdom 8 196 2.0× 54 0.9× 50 1.1× 58 1.3× 26 0.8× 23 354
Alexandros Efentakis Greece 8 163 1.7× 54 0.9× 81 1.8× 18 0.4× 50 1.5× 13 260
Franz‐Benjamin Mocnik Germany 11 73 0.8× 24 0.4× 57 1.2× 25 0.6× 154 4.5× 29 303
Enrico Steiger Germany 7 272 2.8× 49 0.8× 83 1.8× 68 1.5× 100 2.9× 12 435
Richard Milton United Kingdom 11 168 1.8× 54 0.9× 57 1.2× 55 1.2× 196 5.8× 22 473

Countries citing papers authored by Cheng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Fu. A scholar is included among the top collaborators of Cheng Fu 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 Cheng Fu. Cheng Fu 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.
Fu, Cheng, et al.. (2025). Evaluating and enhancing spatial cognition abilities of large language models. International Journal of Geographical Information Systems. 39(9). 2009–2044. 1 indexed citations
2.
Fu, Cheng, et al.. (2024). Efficient operator annotation for deep learning in cartographic building generalization. Abstracts of the ICA. 7. 1–2. 1 indexed citations
3.
Chen, Dong, Cheng Fu, Liza K. Jenkins, et al.. (2024). Regional fire–greening positive feedback loops in Alaskan Arctic tundra. Nature Plants. 10(12). 1886–1891. 3 indexed citations
4.
Fu, Cheng, Zhiyong Zhou, Yanan Xin, & Robert Weibel. (2024). Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI. International Journal of Geographical Information Systems. 38(10). 2061–2082. 5 indexed citations
5.
Zhou, Zhiyong, Cheng Fu, & Robert Weibel. (2024). SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps. International Journal of Applied Earth Observation and Geoinformation. 135. 104236–104236. 4 indexed citations
6.
Fu, Cheng, et al.. (2024). Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation. International Journal of Applied Earth Observation and Geoinformation. 136. 104323–104323.
7.
Weibel, Robert, et al.. (2023). Indoor navigation map design based on the analysis of space characteristics. Abstracts of the ICA. 6. 1–2. 2 indexed citations
8.
Xin, Yanan, Cheng Fu, Nina Wiedemann, et al.. (2023). Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12821–12830. 5 indexed citations
9.
10.
Ren, Fu, et al.. (2023). The effect of large scale photovoltaic-based projects on poverty reduction: Empirical evidence from China. Renewable Energy. 218. 119294–119294. 13 indexed citations
11.
Feng, Yu, Ning Qian, Cheng Fu, Zhiyong Zhou, & Monika Sester. (2023). PolygonTranslator - learning to simplify building footprints from one scale to another. Abstracts of the ICA. 6. 1–2. 1 indexed citations
12.
Conrow, Lindsey, Cheng Fu, Haosheng Huang, et al.. (2023). A conceptual framework for developing dashboards for big mobility data. Cartography and Geographic Information Science. 50(5). 495–514. 3 indexed citations
13.
Fu, Cheng, et al.. (2023). What Do We Know about Multidimensional Poverty in China: Its Dynamics, Causes, and Implications for Sustainability. ISPRS International Journal of Geo-Information. 12(2). 78–78. 10 indexed citations
14.
Zhou, Zhiyong, Cheng Fu, & Robert Weibel. (2023). Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network. ISPRS Journal of Photogrammetry and Remote Sensing. 202. 205–218. 16 indexed citations
15.
Fu, Cheng, Zhiyong Zhou, Yu Feng, & Robert Weibel. (2023). Keeping walls straight: data model and training set size matter for deep learning in building generalization. Cartography and Geographic Information Science. 51(1). 130–145. 6 indexed citations
16.
Giannouli, Eleftheria, Eun‐Kyeong Kim, Cheng Fu, et al.. (2022). Psychometric properties of the MOBITEC-GP mobile application for real-life mobility assessment in older adults. Geriatric Nursing. 48. 280–286. 8 indexed citations
17.
Fu, Cheng, et al.. (2022). Predicting individuals' car accident risk by trajectory, driving events, and geographical context. Computers Environment and Urban Systems. 93. 101760–101760. 26 indexed citations
18.
Zhou, Zhiyong, Robert Weibel, Cheng Fu, Stephan Winter, & Haosheng Huang. (2021). Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment. Spatial Cognition and Computation. 21(4). 257–289. 6 indexed citations
19.
Fu, Cheng, et al.. (2021). Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing. 3469–3479. 5 indexed citations
20.
Hong, Lingzi, Cheng Fu, Jiahui Wu, & Vanessa Frías-Martínez. (2018). Information Needs and Communication Gaps between Citizens and Local Governments Online during Natural Disasters. Information Systems Frontiers. 20(5). 1027–1039. 31 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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