Biying Fu

596 total citations
27 papers, 356 citations indexed

About

Biying Fu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Biying Fu has authored 27 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Biying Fu's work include Face recognition and analysis (13 papers), Context-Aware Activity Recognition Systems (9 papers) and Biometric Identification and Security (8 papers). Biying Fu is often cited by papers focused on Face recognition and analysis (13 papers), Context-Aware Activity Recognition Systems (9 papers) and Biometric Identification and Security (8 papers). Biying Fu collaborates with scholars based in Germany, Australia and United Kingdom. Biying Fu's co-authors include Arjan Kuijper, Naser Damer, Florian Kirchbuchner, Tobias Große-Puppendahl, Andreas Braun, Cong Chen, Olaf Henniger, James Scott, Christian Hatzfeld and Mario Kupnik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Image and Vision Computing.

In The Last Decade

Biying Fu

25 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Biying Fu Germany	10	218	108	89	71	66	27	356
Seon-Woo Lee South Korea	4	275 1.3×	154 1.4×	104 1.2×	44 0.6×	57 0.9×	7	394
Lukas Köping Germany	6	281 1.3×	87 0.8×	116 1.3×	54 0.8×	113 1.7×	9	385
Yujie Li China	11	183 0.8×	56 0.5×	43 0.5×	76 1.1×	42 0.6×	76	359
Maria Cornacchia United States	5	255 1.2×	47 0.4×	116 1.3×	24 0.3×	71 1.1×	17	390
Linlin Guo China	11	145 0.7×	205 1.9×	112 1.3×	55 0.8×	39 0.6×	20	405
Woosub Jung United States	8	107 0.5×	195 1.8×	108 1.2×	130 1.8×	76 1.2×	19	443
Yandao Huang China	10	106 0.5×	70 0.6×	91 1.0×	60 0.8×	43 0.7×	20	307
Xiaochao Dang China	12	89 0.4×	237 2.2×	88 1.0×	73 1.0×	56 0.8×	75	432
Shuisheng Lin China	7	151 0.7×	67 0.6×	85 1.0×	22 0.3×	57 0.9×	41	295

Countries citing papers authored by Biying Fu

Since Specialization

Citations

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

Fields of papers citing papers by Biying Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biying Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Biying Fu. A scholar is included among the top collaborators of Biying 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 Biying Fu. Biying 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

Henniger, Olaf, Biying Fu, & Alexander Kurz. (2024). Utility-based performance evaluation of biometric sample quality measures. EURASIP Journal on Image and Video Processing. 2024(1).

Fu, Biying, Abdenour Hadid, & Naser Damer. (2024). Generative AI in the context of assistive technologies: Trends, limitations and future directions. Image and Vision Computing. 154. 105347–105347. 9 indexed citations

Fu, Biying, et al.. (2024). UAV-based person re-identification: A survey of UAV datasets, approaches, and challenges. Computer Vision and Image Understanding. 251. 104261–104261. 2 indexed citations

Fu, Biying, et al.. (2023). On the Quality and Diversity of Synthetic Face Data and its Relation to the Generator Training Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). abs 1411 7923. 1–6. 2 indexed citations

Fu, Biying & Naser Damer. (2023). Biometric Recognition in 3D Medical Images: A Survey. IEEE Access. 11. 125601–125615. 3 indexed citations

Fu, Biying, et al.. (2022). Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 349–358. 7 indexed citations

Henniger, Olaf, Biying Fu, & Cong Chen. (2022). On the Assessment of Face Image Quality Based on Handcrafted Features. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 273–280.

Fu, Biying, et al.. (2022). Towards Explaining Demographic Bias through the Eyes of Face Recognition Models. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–10. 4 indexed citations

Fu, Biying & Naser Damer. (2022). Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality. IET Biometrics. 11(5). 359–382. 7 indexed citations

10.

Fu, Biying, Cong Chen, Olaf Henniger, & Naser Damer. (2021). The relative contributions of facial parts qualities to the face image utility. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 6 indexed citations

11.

Fu, Biying, Florian Kirchbuchner, & Naser Damer. (2021). The Effect of Wearing a Face Mask on Face Image Quality. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 11 indexed citations

12.

Fu, Biying, et al.. (2021). The effect of face morphing on face image quality. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 10 indexed citations

13.

Fu, Biying, Florian Kirchbuchner, & Arjan Kuijper. (2020). Performing Realistic Workout Activity Recognition on Consumer Smartphones. Technologies. 8(4). 65–65. 2 indexed citations

14.

Fu, Biying, Naser Damer, Florian Kirchbuchner, & Arjan Kuijper. (2020). Sensing Technology for Human Activity Recognition: A Comprehensive Survey. IEEE Access. 8. 83791–83820. 111 indexed citations

15.

Fu, Biying, Florian Kirchbuchner, & Arjan Kuijper. (2020). Unconstrained workout activity recognition on unmodified commercial off-the-shelf smartphones. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–10. 4 indexed citations

16.

Fu, Biying, et al.. (2020). Detection of Fiber Defects Using Keypoints and Deep Learning. International Journal of Pattern Recognition and Artificial Intelligence. 35(5). 2150016–2150016. 3 indexed citations

17.

Fu, Biying, et al.. (2018). Fitness Activity Recognition on Smartphones Using Doppler Measurements. Informatics. 5(2). 24–24. 14 indexed citations

18.

Fu, Biying, et al.. (2018). Performing indoor localization with electric potential sensing. Journal of Ambient Intelligence and Humanized Computing. 10(2). 731–746. 25 indexed citations

19.

Fu, Biying, et al.. (2017). Exercise Monitoring On Consumer Smart Phones Using Ultrasonic Sensing. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 16 indexed citations

20.

Große-Puppendahl, Tobias, Christian Hatzfeld, Biying Fu, et al.. (2016). Platypus. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 17–30. 58 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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