Junfu Pu

1.1k total citations
15 papers, 692 citations indexed

About

Junfu Pu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Developmental and Educational Psychology. According to data from OpenAlex, Junfu Pu has authored 15 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Human-Computer Interaction and 7 papers in Developmental and Educational Psychology. Recurrent topics in Junfu Pu's work include Human Pose and Action Recognition (11 papers), Hand Gesture Recognition Systems (9 papers) and Hearing Impairment and Communication (7 papers). Junfu Pu is often cited by papers focused on Human Pose and Action Recognition (11 papers), Hand Gesture Recognition Systems (9 papers) and Hearing Impairment and Communication (7 papers). Junfu Pu collaborates with scholars based in China, United States and Poland. Junfu Pu's co-authors include Houqiang Li, Wengang Zhou, Hezhen Hu, Weizhen Qi, Hao Zhou, Chao Xie, Liansheng Zhuang, Qi Tian, Hang Fang and Min Wang and has published in prestigious journals such as IEEE Transactions on Multimedia, arXiv (Cornell University) and Proceedings of the 30th ACM International Conference on Multimedia.

In The Last Decade

Junfu Pu

14 papers receiving 672 citations

Peers

Junfu Pu

HI

CVPR

DEP

BE

AI

Hamzah Luqman Saudi Arabia

Gaolin Fang China

G. Anantha Rao India

M. Teja Kiran Kumar India

Yuecong Min China

Ilias Papastratis Greece

Zahoor Zafrulla United States

Hu Liu China

Britta Bauer Germany

Hamzah Luqman Saudi Arabia

Junfu Pu

375 ×0.6

HI

201 ×0.5

CVPR

270 ×0.6

DEP

156 ×0.6

BE

121 ×2.7

AI

Citations per year, relative to Junfu Pu Junfu Pu (= 1×) peers Hamzah Luqman

Countries citing papers authored by Junfu Pu

Since Specialization

Citations

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

Fields of papers citing papers by Junfu Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfu Pu

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

15 of 15 papers shown

1.

Pu, Junfu, Zhongang Qi, Wei-Yi Pei, et al.. (2024). SynopGround: A Large-Scale Dataset for Multi-Paragraph Video Grounding from TV Dramas and Synopses. 8383–8392. 1 indexed citations

2.

Chen, Yuxin, Zongyang Ma, Ziqi Zhang, et al.. (2024). How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?. 26984–26993. 1 indexed citations

3.

Yu, Jiashuo, et al.. (2023). Learning Music-Dance Representations Through Explicit-Implicit Rhythm Synchronization. IEEE Transactions on Multimedia. 26. 8454–8463. 4 indexed citations

4.

Hu, Hezhen, Junfu Pu, Wengang Zhou, Hang Fang, & Houqiang Li. (2023). Prior-Aware Cross Modality Augmentation Learning for Continuous Sign Language Recognition. IEEE Transactions on Multimedia. 26. 593–606. 15 indexed citations

5.

Hu, Hezhen, Junfu Pu, Wengang Zhou, & Houqiang Li. (2022). Collaborative Multilingual Continuous Sign Language Recognition: A Unified Framework. IEEE Transactions on Multimedia. 25. 7559–7570. 12 indexed citations

6.

Pu, Junfu, et al.. (2022). PC-Dance: Posture-controllable Music-driven Dance Synthesis. Proceedings of the 30th ACM International Conference on Multimedia. 1261–1269. 6 indexed citations

7.

Zhou, Hao, Wengang Zhou, Weizhen Qi, Junfu Pu, & Houqiang Li. (2021). Improving Sign Language Translation with Monolingual Data by Sign Back-Translation. 1316–1325. 124 indexed citations

8.

Pu, Junfu, Wengang Zhou, Hezhen Hu, & Houqiang Li. (2020). Boosting Continuous Sign Language Recognition via Cross Modality Augmentation. arXiv (Cornell University). 1497–1505. 78 indexed citations

9.

Pu, Junfu, et al.. (2019). Continuous Sign Language Recognition via Reinforcement Learning. 285–289. 18 indexed citations

10.

Pu, Junfu, Wengang Zhou, & Houqiang Li. (2019). Iterative Alignment Network for Continuous Sign Language Recognition. 4160–4169. 181 indexed citations

11.

Zhou, Wengang, et al.. (2019). Deep Grammatical Multi-classifier for Continuous Sign Language Recognition. 435–442. 20 indexed citations

12.

Pu, Junfu, Wengang Zhou, & Houqiang Li. (2018). Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition. 885–891. 101 indexed citations

13.

Pu, Junfu, Yusuke Matsui, Fan Yang, & Shin’ichi Satoh. (2017). Energy based fast event retrieval in video with temporal match kernel. 885–889.

14.

Wang, Min, Wengang Zhou, Qi Tian, Junfu Pu, & Houqiang Li. (2017). Deep Supervised Quantization by Self-Organizing Map. 1707–1715. 14 indexed citations

15.

Zhou, Wengang, et al.. (2016). Chinese sign language recognition with adaptive HMM. 1–6. 117 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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