Zhuliang Le

1.4k total citations · 2 hit papers
13 papers, 1.0k citations indexed

About

Zhuliang Le is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Zhuliang Le has authored 13 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Media Technology, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Biomedical Engineering. Recurrent topics in Zhuliang Le's work include Advanced Image Fusion Techniques (13 papers), Image Enhancement Techniques (9 papers) and Image and Signal Denoising Methods (5 papers). Zhuliang Le is often cited by papers focused on Advanced Image Fusion Techniques (13 papers), Image Enhancement Techniques (9 papers) and Image and Signal Denoising Methods (5 papers). Zhuliang Le collaborates with scholars based in China. Zhuliang Le's co-authors include Jiayi Ma, Han Xu, Junjun Jiang, Xiaojie Guo, Hao Zhang, Zhenfeng Shao, Fan Fan, Jun Huang, Yong Ma and Wei Liu and has published in prestigious journals such as IEEE Access, Remote Sensing and Information Fusion.

In The Last Decade

Zhuliang Le

13 papers receiving 992 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.

FusionDN: A Unified Densely Connected Network for Image Fusion

2020 348 citations Han Xu, Jiayi Ma et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion

2020 233 citations Hao Zhang, Zhuliang Le et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhuliang Le China	10	896	780	155	124	39	13	1.0k
Yue Que China	14	564 0.6×	525 0.7×	65 0.4×	118 1.0×	32 0.8×	22	704
Guanyao Wu China	11	795 0.9×	703 0.9×	271 1.7×	54 0.4×	28 0.7×	16	1.0k
Yan Pingfan China	3	1.2k 1.3×	871 1.1×	348 2.2×	135 1.1×	11 0.3×	4	1.3k
Haowen Bai China	6	504 0.6×	405 0.5×	146 0.9×	24 0.2×	33 0.8×	8	646
Jinlei Ma China	8	696 0.8×	539 0.7×	302 1.9×	90 0.7×	13 0.3×	15	825
Junfeng Yang China	5	504 0.6×	467 0.6×	30 0.2×	92 0.7×	26 0.7×	6	619
Hua Zong China	4	625 0.7×	436 0.6×	268 1.7×	65 0.5×	11 0.3×	8	675
Yuwen Hu China	4	539 0.6×	501 0.6×	37 0.2×	75 0.6×	27 0.7×	4	634
David Ferstl Austria	7	339 0.4×	648 0.8×	59 0.4×	26 0.2×	116 3.0×	14	714

Countries citing papers authored by Zhuliang Le

Since Specialization

Citations

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

Fields of papers citing papers by Zhuliang Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuliang Le

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

13 of 13 papers shown

1.

Le, Zhuliang, Jun Huang, Han Xu, et al.. (2022). UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion. Information Fusion. 88. 305–318. 48 indexed citations

2.

Xu, Han, et al.. (2022). RFNet: Unsupervised Network for Mutually Reinforcing Multi-modal Image Registration and Fusion. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19647–19656. 112 indexed citations

3.

Ma, Jiayi, Zhuliang Le, Xin Tian, & Junjun Jiang. (2021). SMFuse: Multi-Focus Image Fusion Via Self-Supervised Mask-Optimization. IEEE Transactions on Computational Imaging. 7. 309–320. 50 indexed citations

4.

Xu, Han, Zhuliang Le, Jun Huang, & Jiayi Ma. (2021). A Cross-Direction and Progressive Network for Pan-Sharpening. Remote Sensing. 13(15). 3045–3045. 9 indexed citations

5.

Yang, Zhiguang, Youping Chen, Zhuliang Le, & Yong Ma. (2020). GANFuse: a novel multi-exposure image fusion method based on generative adversarial networks. Neural Computing and Applications. 33(11). 6133–6145. 55 indexed citations

6.

Huang, Jun, Zhuliang Le, Yong Ma, et al.. (2020). MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network. IEEE Access. 8. 55145–55157. 64 indexed citations

7.

Huang, Jun, Zhuliang Le, Yong Ma, Xiaoguang Mei, & Fan Fan. (2020). A generative adversarial network with adaptive constraints for multi-focus image fusion. Neural Computing and Applications. 32(18). 15119–15129. 29 indexed citations

8.

Xu, Han, Fan Fan, Hao Zhang, Zhuliang Le, & Jun Huang. (2020). A Deep Model for Multi-Focus Image Fusion Based on Gradients and Connected Regions. IEEE Access. 8. 26316–26327. 49 indexed citations

9.

Le, Zhuliang, Jun Huang, Fan Fan, Xin Tian, & Jiayi Ma. (2020). A Generative Adversarial Network For Medical Image Fusion. 370–374. 6 indexed citations

10.

Zhang, Hao, Zhuliang Le, Zhenfeng Shao, Han Xu, & Jiayi Ma. (2020). MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion. Information Fusion. 66. 40–53. 233 indexed citations breakdown →

11.

Xu, Han, Jiayi Ma, Zhuliang Le, Junjun Jiang, & Xiaojie Guo. (2020). FusionDN: A Unified Densely Connected Network for Image Fusion. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12484–12491. 348 indexed citations breakdown →

12.

Yang, Zhiguang, et al.. (2019). Multi-Source Medical Image Fusion Based on Wasserstein Generative Adversarial Networks. IEEE Access. 7. 175947–175958. 22 indexed citations

13.

Le, Zhuliang, et al.. (2013). Quantum-inspired particle swarm optimization algorithm with performance evaluation of fused images. 1 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