Jun Fu

7.9k total citations · 1 hit paper
18 papers, 5.4k citations indexed

About

Jun Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jun Fu has authored 18 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Jun Fu's work include Advanced Neural Network Applications (13 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Visual Attention and Saliency Detection (4 papers). Jun Fu is often cited by papers focused on Advanced Neural Network Applications (13 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Visual Attention and Saliency Detection (4 papers). Jun Fu collaborates with scholars based in China, United Kingdom and United States. Jun Fu's co-authors include Hanqing Lu, Jing Liu, Yongjun Bao, Yong Li, Zhiwei Fang, Yuhang Wang, Jie Jiang, Changyong Wang, Jin Zhou and Yong Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Jun Fu

18 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dual Attention Network for Scene Segmentation

2019 4.8k citations Jun Fu, Jing Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Fu China	11	3.8k	1.4k	1.2k	611	347	18	5.4k
Yongjun Bao China	20	3.7k 1.0×	1.4k 1.0×	1.1k 1.0×	588 1.0×	335 1.0×	56	6.1k
Ding Liang China	15	3.7k 1.0×	1.4k 1.0×	969 0.8×	497 0.8×	178 0.5×	39	5.5k
Enze Xie China	21	4.8k 1.3×	1.6k 1.1×	1.6k 1.3×	520 0.9×	205 0.6×	32	6.6k
Hanzi Mao United States	5	3.8k 1.0×	1.9k 1.4×	869 0.7×	866 1.4×	356 1.0×	8	7.8k
Qilong Wang China	21	4.3k 1.1×	1.9k 1.4×	1.2k 1.0×	575 0.9×	257 0.7×	67	7.3k
Nong Sang China	32	4.2k 1.1×	1.4k 1.0×	1.1k 0.9×	283 0.5×	227 0.7×	262	5.6k
Tete Xiao United States	8	2.7k 0.7×	1.3k 0.9×	490 0.4×	408 0.7×	237 0.7×	9	5.3k
Yanwei Fu China	38	4.8k 1.3×	2.8k 2.1×	744 0.6×	693 1.1×	279 0.8×	164	6.7k

Countries citing papers authored by Jun Fu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Fu

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

18 of 18 papers shown

1.

Fu, Jun, et al.. (2025). CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIP. ORCA Online Research @Cardiff (Cardiff University). 1–5. 2 indexed citations

2.

He, Xingjian, Jing Liu, Jun Fu, et al.. (2021). Consistent-Separable Feature Representation for Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1531–1539. 2 indexed citations

3.

Jiang, Jie, et al.. (2021). Super-resolution semantic segmentation with relation calibrating network. Pattern Recognition. 124. 108501–108501. 10 indexed citations

4.

Jiang, Jie, Jing Liu, Jun Fu, et al.. (2020). Global-Guided Selective Context Network for Scene Parsing. IEEE Transactions on Neural Networks and Learning Systems. 33(4). 1752–1764. 16 indexed citations

5.

Jiang, Jie, Jing Liu, Jun Fu, Xinxin Zhu, & Hanqing Lu. (2020). Point Set Attention Network For Semantic Segmentation. 2186–2190. 1 indexed citations

6.

Fu, Jun, Jing Liu, Yong Li, et al.. (2020). Contextual deconvolution network for semantic segmentation. Pattern Recognition. 101. 107152–107152. 49 indexed citations

7.

Fu, Jun, Jing Liu, Jie Jiang, et al.. (2020). Scene Segmentation With Dual Relation-Aware Attention Network. IEEE Transactions on Neural Networks and Learning Systems. 32(6). 2547–2560. 210 indexed citations

8.

Fu, Jun, Jing Liu, Yong Li, et al.. (2019). Dual Attention Network for Scene Segmentation. 3141–3149. 4786 indexed citations breakdown →

9.

Li, Jiangyun, et al.. (2019). Attention-Guided Network for Semantic Video Segmentation. IEEE Access. 7. 140680–140689. 14 indexed citations

10.

Fu, Jun, Jing Liu, Yuhang Wang, et al.. (2019). Adaptive Context Network for Scene Parsing. 6747–6756. 95 indexed citations

11.

Fu, Jun, Jing Liu, Yuhang Wang, et al.. (2019). Stacked Deconvolutional Network for Semantic Segmentation. IEEE Transactions on Image Processing. 1–1. 127 indexed citations

12.

Liu, Jing, Yuhang Wang, Yong Li, et al.. (2018). Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5655–5666. 48 indexed citations

13.

Liu, Fei, Jing Liu, Jun Fu, & Hanqing Lu. (2018). Improving Residual Block for Semantic Image Segmentation. 1–5. 5 indexed citations

14.

Fu, Jun, Qiang Huan, & Hua Peng. (2017). Single-channel mixed signal detection based on signal noise ratio estimation. 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). 47. 705–711. 2 indexed citations

15.

Fu, Jun, Jing Liu, Yuhang Wang, & Hanqing Lu. (2017). Densely connected deconvolutional network for semantic segmentation. 3085–3089. 19 indexed citations

16.

Fu, Jun, et al.. (2016). Aircraft recognition in remote sensing images based on saliency and invariant moments. 2. 500–505. 2 indexed citations

17.

Wang, Yuhang, Jing Liu, Yong Li, et al.. (2016). Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation. Pattern Recognition. 64. 437–445. 26 indexed citations

18.

Wang, Huiyan, Xun Wang, J.R. Deller, & Jun Fu. (2013). Shape-Preserving Preprocessing for Human Pulse Signals Based on Adaptive Parameter Determination. IEEE Transactions on Biomedical Circuits and Systems. 8(4). 594–604. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yongjun Bao Breakdown of academic impact, for papers by Ding Liang Breakdown of academic impact, for papers by Enze Xie Breakdown of academic impact, for papers by Hanzi Mao Breakdown of academic impact, for papers by Qilong Wang Breakdown of academic impact, for papers by Nong Sang Breakdown of academic impact, for papers by Tete Xiao Breakdown of academic impact, for papers by Yanwei Fu