Di Fu

863 total citations
45 papers, 497 citations indexed

About

Di Fu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Di Fu has authored 45 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Experimental and Cognitive Psychology and 9 papers in Artificial Intelligence. Recurrent topics in Di Fu's work include Atmospheric Ozone and Climate (6 papers), Social Robot Interaction and HRI (5 papers) and AI in Service Interactions (4 papers). Di Fu is often cited by papers focused on Atmospheric Ozone and Climate (6 papers), Social Robot Interaction and HRI (5 papers) and AI in Service Interactions (4 papers). Di Fu collaborates with scholars based in China, Germany and United States. Di Fu's co-authors include Xun Liu, Chuan Shi, Yuxiao Dong, Bin Wu, Yanan Cai, Bingsheng Liu, Bibing Dai, Qi Li, Guangteng Meng and Kun‐Han Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and International Journal of Molecular Sciences.

In The Last Decade

Di Fu

39 papers receiving 471 citations

Peers

Di Fu

SNP

CVPR

Dan Mønster Denmark

Lancelot Da Costa United Kingdom

R. Dean Malmgren United States

Laurence Aitchison United Kingdom

Gernot Bauer Germany

Qisheng Li United States

Thomas Noll United States

Zhao Yang China

David L. Dowe Australia

Henri Poincaré United States

Dan Mønster Denmark

Di Fu

130 ×1.3

75 ×0.8

52 ×0.6

SNP

18 ×0.3

CVPR

147 ×2.2

Citations per year, relative to Di Fu Di Fu (= 1×) peers Dan Mønster

Countries citing papers authored by Di Fu

Since Specialization

Citations

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

Fields of papers citing papers by Di Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fu, Di, et al.. (2025). Ubiquitination Proteomics of Sugar Beets Under Salt Stress Response Revealed Roles of Photosynthesis, Ca ²⁺ Signaling, and the Proteasome System. Physiologia Plantarum. 177(4). e70387–e70387.

Luo, W., et al.. (2025). Real-time identification and spatial distribution mapping of weeds through unmanned aerial vehicle (UAV) remote sensing. European Journal of Agronomy. 169. 127699–127699. 2 indexed citations

Sun, Yao, Yao Li, Qiong Wu, et al.. (2025). Plant Heme-Binding Proteins: Insights into Functions and Application Prospect. Plant Molecular Biology Reporter. 43(3). 925–932. 1 indexed citations

Cao, Siqi, et al.. (2024). Pain recognition and pain empathy from a human-centered AI perspective. iScience. 27(8). 110570–110570. 4 indexed citations

Strahl, Erik, et al.. (2024). Influence of Robots’ Voice Naturalness on Trust and Compliance. ACM Transactions on Human-Robot Interaction. 14(2). 1–25. 3 indexed citations

Zhang, Yuchong, et al.. (2024). HAID: Human-AI Interaction for Dementia Care. Chalmers Research (Chalmers University of Technology). 1–4. 2 indexed citations

Li, Ting, Kristoffer H. Madsen, Jing Xiao, et al.. (2024). Brain responses to self- and other- unfairness under resource distribution context: Meta-analysis of fMRI studies. NeuroImage. 297. 120707–120707. 2 indexed citations

Yu, Tao, et al.. (2023). A statistical analysis of conjugate equatorial plasma bubbles based on 630 nm airglow observations. Science China Earth Sciences. 66(3). 675–684. 3 indexed citations

Kong, Ping, et al.. (2023). Reversible Data Hiding in Encrypted Image via Joint Encoding of Multiple MSB and Pixel Difference. Security and Communication Networks. 2023. 1–15. 1 indexed citations

10.

Fu, Di, Matthias Kerzel, Ziwei Chen, et al.. (2023). A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution. International Journal of Social Robotics. 15(8). 1325–1340. 8 indexed citations

11.

Wang, Sufeng, Yutao Feng, Di Fu, et al.. (2023). Stratospheric Temperature Observations by Narrow Bands Ultra-High Spectral Resolution Sounder from Nadir-Viewing Satellites. Remote Sensing. 15(8). 1967–1967.

12.

Zhang, Yafei, et al.. (2022). Thermal imaging drift monitoring of Doppler asymmetric spatial heterodyne spectroscopy for wind measurement based on segmented edge fitting. Acta Physica Sinica. 71(8). 84201–84201. 3 indexed citations

13.

Cao, Siqi, et al.. (2021). Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective. arXiv (Cornell University). 2 indexed citations

14.

Sun, Chen, et al.. (2020). A propagation of interferogram signal-to-noise (SNR) and phase uncertainty in Doppler asymmetric spatial heterodyne spectrometer. Acta Physica Sinica. 69(1). 14202–14202. 3 indexed citations

15.

Fu, Di, Cornelius Weber, Guochun Yang, et al.. (2020). What Can Computational Models Learn From Human Selective Attention? A Review From an Audiovisual Unimodal and Crossmodal Perspective. Frontiers in Integrative Neuroscience. 14. 10–10. 17 indexed citations

16.

Dai, Bibing, Di Fu, Guangteng Meng, et al.. (2020). The Effects of Governmental and Individual Predictors on COVID‐19 Protective Behaviors in China: A Path Analysis Model. Public Administration Review. 80(5). 797–804. 98 indexed citations

17.

Fu, Di, Cornelius Weber, Guochun Yang, et al.. (2019). What can computational models learn from human selective attention? A review from an audiovisual unimodal and crossmodal perspective. PsyArXiv (OSF Preprints). 1 indexed citations

18.

Fu, Di, Cornelius Weber, Matthias Kerzel, et al.. (2019). What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. PsyArXiv (OSF Preprints). 1 indexed citations

19.

Fu, Di, et al.. (2019). Humor Affects Fairness Considerations in the Gain and Loss Contexts. Frontiers in Psychology. 9. 2679–2679. 2 indexed citations

20.

Xu, Guizhi, et al.. (2016). Automatic land cover classification of geo-tagged field photos using deep learning method. AGU Fall Meeting Abstracts. 2016. 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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