Fanfan Ye

534 total citations
4 papers, 334 citations indexed

About

Fanfan Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Fanfan Ye has authored 4 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Fanfan Ye's work include Human Pose and Action Recognition (4 papers), Gait Recognition and Analysis (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Fanfan Ye is often cited by papers focused on Human Pose and Action Recognition (4 papers), Gait Recognition and Analysis (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Fanfan Ye collaborates with scholars based in China. Fanfan Ye's co-authors include Qiaoyong Zhong, Di Xie, Huiming Tang, Chao Li, Shiliang Pu, Kailin Xu, Xuwen Wang and Liang Xiao and has published in prestigious journals such as Electronics Letters and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Fanfan Ye

4 papers receiving 330 citations

Peers

Countries citing papers authored by Fanfan Ye

Since Specialization

Citations

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

Fields of papers citing papers by Fanfan Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanfan Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Fanfan Ye. A scholar is included among the top collaborators of Fanfan Ye 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 Fanfan Ye. Fanfan Ye 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:

4 of 4 papers shown

#	Work	Indexed citations
1	Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie	108
2	Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition 2020 ·Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang	215
3	Skeleton‐based action recognition with JRR‐GCN 2019 ·Electronics Letters ·Fanfan Ye, Huiming Tang	6
4	Joints Relation Inference Network for Skeleton-Based Action Recognition 2019 ·Fanfan Ye, Huiming Tang, Xuwen Wang, Liang Xiao	5

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.

Explore authors with similar magnitude of impact