Gang Zeng

5.3k total citations · 3 hit papers
59 papers, 3.1k citations indexed

About

Gang Zeng is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Gang Zeng has authored 59 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Graphics and Computer-Aided Design and 10 papers in Computational Mechanics. Recurrent topics in Gang Zeng's work include Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Computer Graphics and Visualization Techniques (12 papers). Gang Zeng is often cited by papers focused on Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Computer Graphics and Visualization Techniques (12 papers). Gang Zeng collaborates with scholars based in China, United States and Hong Kong. Gang Zeng's co-authors include Jingdong Wang, Xiaokang Chen, Yuhui Yuan, Luc Van Gool, Pascal Müller, Peter Wonka, Long Quan, Sing Bing Kang, Ping Tan and Rui Gan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Gang Zeng

54 papers receiving 3.0k 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.

Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

2021 627 citations Xiaokang Chen, Gang Zeng et al. profile →
Context Autoencoder for Self-supervised Representation Learning

2023 178 citations Xiaokang Chen, Mingyu Ding et al. International Journal of Computer Vision profile →
Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment

2023 107 citations Xiaokang Chen, Gang Zeng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gang Zeng China	24	2.2k	585	463	422	407	59	3.1k
Wan‐Yen Lo United States	6	2.0k 0.9×	914 1.6×	239 0.5×	148 0.4×	152 0.4×	7	4.1k
Yonghuai Liu United Kingdom	27	1.7k 0.8×	384 0.7×	296 0.6×	204 0.5×	415 1.0×	131	3.3k
Song–Hai Zhang China	23	2.4k 1.1×	528 0.9×	141 0.3×	321 0.8×	128 0.3×	103	3.7k
Laura Gustafson	3	2.0k 0.9×	927 1.6×	240 0.5×	127 0.3×	152 0.4×	4	4.1k
Lizhuang Ma China	38	3.5k 1.6×	941 1.6×	236 0.5×	350 0.8×	297 0.7×	321	4.9k
Bryan Russell United States	21	4.1k 1.9×	1.1k 1.9×	207 0.4×	147 0.3×	234 0.6×	43	5.6k
Kristin Dana United States	30	2.8k 1.3×	533 0.9×	167 0.4×	846 2.0×	236 0.6×	76	4.5k
Tai‐Jiang Mu China	18	1.6k 0.7×	568 1.0×	164 0.4×	107 0.3×	171 0.4×	56	2.8k
Gabriel Brostow United Kingdom	27	4.4k 2.0×	772 1.3×	278 0.6×	610 1.4×	291 0.7×	85	5.4k
Yongming Rao China	29	2.4k 1.1×	767 1.3×	307 0.7×	346 0.8×	556 1.4×	49	3.4k

Countries citing papers authored by Gang Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Gang Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Zeng

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

20 of 20 papers shown

1.

Tang, Jiaxiang, et al.. (2025). Generating Objects with Part-Articulation from a Single Image. 1–13.

2.

Chen, Yixin, et al.. (2025). MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes. 26767–26778. 1 indexed citations

3.

Tang, Jiaxiang, et al.. (2024). Open-set Hierarchical Semantic Segmentation for 3D Scene. 1–6.

4.

Wang, Yuxiang, et al.. (2024). Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis. 62000–62023.

5.

Chen, Xiaokang, Mingyu Ding, Xiaodi Wang, et al.. (2023). Context Autoencoder for Self-supervised Representation Learning. International Journal of Computer Vision. 132(1). 208–223. 178 indexed citations breakdown →

6.

Zeng, Gang, et al.. (2021). Joint Semantic-Instance Segmentation of 3D Point Clouds: Instance Separation and Semantic Fusion. 6616–6623.

7.

Wang, Jingbo, et al.. (2019). Coupling Two-Stream RGB-D Semantic Segmentation Network by Idempotent Mappings. 1850–1854. 22 indexed citations

8.

Wang, Jingbo, et al.. (2019). 2.5D Convolution for RGB-D Semantic Segmentation. 1410–1414. 25 indexed citations

9.

Zhang, Jiyuan, Gang Zeng, & Hongbin Zha. (2018). Structure-aware SLAM with planes and lines in man-made environment. Pattern Recognition Letters. 127. 181–190. 12 indexed citations

10.

Gan, Rui, et al.. (2017). Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF. 5178–5186. 34 indexed citations

11.

Wang, Peng, Jingdong Wang, Gang Zeng, et al.. (2013). Supervised Kernel Descriptors for Visual Recognition. 2858–2865. 29 indexed citations

12.

Wang, Jingdong, Naiyan Wang, Jian Li, et al.. (2013). Trinary-Projection Trees for Approximate Nearest Neighbor Search. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(2). 388–403. 51 indexed citations

13.

Wang, Jingdong, Jing Wang, Gang Zeng, et al.. (2011). Scalable Neighborhood Graph Construction. 1 indexed citations

14.

Zeng, Gang & Luc Van Gool. (2008). Multi-label image segmentation via point-wise repetition. 3. 1–8. 7 indexed citations

15.

Müller, Pascal, Gang Zeng, Peter Wonka, & Luc Van Gool. (2007). Image-based procedural modeling of facades. ACM Transactions on Graphics. 26(3). 85–85. 234 indexed citations

16.

Zeng, Gang, Sylvain Paris, Long Quan, & François X. Sillion. (2006). Accurate and Scalable Surface Representation and Reconstruction from Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(1). 141–158. 21 indexed citations

17.

Zeng, Gang, Maxime Lhuillier, & Long Quan. (2005). Recent methods for reconstructing surfaces from multiple images. Lecture notes in computer science. 3519. 429–447. 2 indexed citations

18.

Zeng, Gang, Sylvain Paris, Long Quan, & François X. Sillion. (2005). Progressive surface reconstruction from images using a local prior. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1230–1237 Vol. 2. 17 indexed citations

19.

Zeng, Gang & Long Quan. (2004). Silhouette Extraction from Multiple Images of Unknown Background. 20 indexed citations

20.

Zeng, Gang, et al.. (2004). Robust carving for non-Lambertian objects. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 119–122 Vol.3.

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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