Borong Liang

919 total citations · 1 hit paper
6 papers, 609 citations indexed

About

Borong Liang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Borong Liang has authored 6 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 1 paper in Control and Systems Engineering. Recurrent topics in Borong Liang's work include Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Vision and Imaging (2 papers) and Image Enhancement Techniques (2 papers). Borong Liang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Vision and Imaging (2 papers) and Image Enhancement Techniques (2 papers). Borong Liang collaborates with scholars based in China, Singapore and Australia. Borong Liang's co-authors include Xinghao Ding, Yue Huang, Xueyang Fu, John Paisley, Errui Ding, Junyu Han, Chengquan Zhang, Zuming Huang, Zhibin Hong and Jingtuo Liu and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Neural Networks and Learning Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Borong Liang

5 papers receiving 593 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.

Lightweight Pyramid Networks for Image Deraining

2019 321 citations Xueyang Fu, Borong Liang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Borong Liang

CVPR

MT

AI

SP

CGCD

Zhongqin Wu China

Liang Lin China

Uma Mudenagudi India

Bailan Feng China

Hongchen Tan China

R. Mech Germany

Tie Liu China

Jianfu Zhang China

Pingbo Pan Australia

Prashant W. Patil India

Zhongqin Wu China

Borong Liang

274 ×0.5

CVPR

75 ×0.3

MT

103 ×1.8

AI

31 ×0.7

SP

12 ×0.8

CGCD

Citations per year, relative to Borong Liang Borong Liang (= 1×) peers Zhongqin Wu

Countries citing papers authored by Borong Liang

Since Specialization

Citations

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

Fields of papers citing papers by Borong Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Borong Liang

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

6 of 6 papers shown

1.

Wang, Kaisiyuan, Zhiliang Xu, Yasheng Sun, et al.. (2025). AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion Transformers. 10678–10689.

2.

Wang, Kaisiyuan, Hang Zhou, Qianyi Wu, et al.. (2023). Efficient Video Portrait Reenactment via Grid-based Codebook. 1–9. 2 indexed citations

3.

Liang, Borong, Hang Zhou, Zhibin Hong, et al.. (2022). Expressive Talking Head Generation with Granular Audio-Visual Control. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3377–3386. 71 indexed citations

4.

Huang, Yue, et al.. (2020). Dual Domain Multi-Task Model for Vehicle Re-Identification. IEEE Transactions on Intelligent Transportation Systems. 23(4). 2991–2999. 20 indexed citations

5.

Fu, Xueyang, Borong Liang, Yue Huang, Xinghao Ding, & John Paisley. (2019). Lightweight Pyramid Networks for Image Deraining. IEEE Transactions on Neural Networks and Learning Systems. 31(6). 1794–1807. 321 indexed citations breakdown →

6.

Zhang, Chengquan, Borong Liang, Zuming Huang, et al.. (2019). Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. 10544–10553. 195 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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