Fan Lyu

700 total citations
33 papers, 393 citations indexed

About

Fan Lyu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Fan Lyu has authored 33 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Fan Lyu's work include Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (13 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Fan Lyu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (13 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Fan Lyu collaborates with scholars based in China, Australia and United States. Fan Lyu's co-authors include Fuyuan Hu, Qi Wu, Qingyao Wu, Mingkui Tan, Chaorui Deng, Wei Feng, Zihan Ye, Na Deng, Hongting Ma and Qiming Fu and has published in prestigious journals such as Nature Communications, Renewable and Sustainable Energy Reviews and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fan Lyu

28 papers receiving 384 citations

Peers

Fan Lyu
Yicheng He United States
Taehyeon Kim South Korea
Guile Wu United Kingdom
Fan Lyu
Citations per year, relative to Fan Lyu Fan Lyu (= 1×) peers Shijie Yang

Countries citing papers authored by Fan Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Fan Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Lyu. A scholar is included among the top collaborators of Fan Lyu 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 Fan Lyu. Fan Lyu 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.
Zhao, Gangming, Fan Lyu, Zhang Zhang, et al.. (2025). MambaPTP: Exploring the Potential of Mamba for Pedestrian Trajectory Prediction. IEEE Transactions on Circuits and Systems for Video Technology. 36(3). 3795–3807.
2.
Gao, Liqing, Wei Feng, Fan Lyu, & Liang Wan. (2024). Combinational sign language recognition. Computer Vision and Image Understanding. 241. 103972–103972. 2 indexed citations
3.
Zhao, Ziqin, et al.. (2024). Towards Long-Term Remembering in Federated Continual Learning. Cognitive Computation. 16(6). 2803–2811. 3 indexed citations
4.
Hatton, Alesha, Feifei Cheng, Tian Lin, et al.. (2024). Genetic control of DNA methylation is largely shared across European and East Asian populations. Nature Communications. 15(1). 2713–2713. 5 indexed citations
5.
Liao, Qingmin, et al.. (2024). MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation. 3. 1–8. 1 indexed citations
6.
Li, Weiqi, et al.. (2024). Long-Tailed Learning as Multi-Objective Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3190–3198.
7.
Lyu, Fan, et al.. (2023). Multi-Label Continual Learning Using Augmented Graph Convolutional Network. IEEE Transactions on Multimedia. 26. 2978–2992. 7 indexed citations
8.
Li, Zhihua, et al.. (2023). Development of a new 17-item Asthenopia Survey Questionnaire using Rasch analysis. International Journal of Ophthalmology. 16(11). 1867–1875.
9.
Gao, Liqing, Fan Lyu, Lei Zhu, et al.. (2023). Difference-guided multi-scale spatial-temporal representation for sign language recognition. The Visual Computer. 39(8). 3417–3428. 3 indexed citations
10.
Liu, Daofeng, et al.. (2023). Centroid Distance Distillation for Effective Rehearsal in Continual Learning. 2. 1–5. 2 indexed citations
11.
Wang, Jiazheng, et al.. (2022). Online Knowledge Distillation for Efficient Action Recognition. 177–181. 2 indexed citations
12.
Lyu, Fan, et al.. (2022). AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 5 indexed citations
13.
Liu, Ye, Liang Wan, Fan Lyu, & Wei Feng. (2022). Fine-grained scale space learning for single image super-resolution. The Visual Computer. 38(9-10). 3377–3389. 4 indexed citations
14.
Becker, Marco, et al.. (2021). Towards high-performance deep learning models in tool wear classification with generative adversarial networks. Journal of Materials Processing Technology. 302. 117484–117484. 16 indexed citations
15.
Lyu, Fan, Shuai Wang, Wei Feng, et al.. (2021). Multi-Domain Multi-Task Rehearsal for Lifelong Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 8819–8827. 8 indexed citations
16.
Deng, Chaorui, Qi Wu, Qingyao Wu, et al.. (2020). Visual Grounding Via Accumulated Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(3). 1670–1684. 10 indexed citations
17.
Wang, Shuai, Fan Lyu, Wei Feng, & Song Wang. (2020). Mutatt: Visual-Textual Mutual Guidance For Referring Expression Comprehension. 1–6. 3 indexed citations
18.
Lyu, Fan, Qi Wu, Fuyuan Hu, Qingyao Wu, & Mingkui Tan. (2019). Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks. IEEE Transactions on Multimedia. 21(8). 1971–1981. 56 indexed citations
19.
Lyu, Fan, et al.. (2019). Feedback Attention Model for Image Captioning. Journal of Computer-Aided Design & Computer Graphics. 31(7). 1122–1122. 3 indexed citations
20.
Deng, Chaorui, Qi Wu, Qingyao Wu, et al.. (2018). Visual Grounding via Accumulated Attention. 7746–7755. 130 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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