Zuozhuo Dai

1.6k total citations · 1 hit paper
7 papers, 708 citations indexed

About

Zuozhuo Dai is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Zuozhuo Dai has authored 7 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in Zuozhuo Dai's work include Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Zuozhuo Dai is often cited by papers focused on Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Zuozhuo Dai collaborates with scholars based in Canada and China. Zuozhuo Dai's co-authors include Ping Tan, Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Feitong Tan, Mingqiang Chen, Siyu Zhu, Chengzhou Tang, Zilong Dong and Weihao Yuan and has published in prestigious journals such as Pattern Recognition, IEEE Robotics and Automation Letters and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Zuozhuo Dai

7 papers receiving 694 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.

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching

2020 505 citations Xiaodong Gu, Zhiwen Fan et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zuozhuo Dai Canada	5	656	129	116	98	79	7	708
Xiaodong Gu Canada	6	694 1.1×	132 1.0×	117 1.0×	108 1.1×	78 1.0×	18	785
Feitong Tan Canada	8	555 0.8×	140 1.1×	134 1.2×	101 1.0×	22 0.3×	16	633
Visesh Chari India	11	457 0.7×	167 1.3×	62 0.5×	38 0.4×	21 0.3×	20	542
Nianjuan Jiang Singapore	13	497 0.8×	184 1.4×	103 0.9×	35 0.4×	63 0.8×	19	566
David Liebowitz United Kingdom	6	559 0.9×	199 1.5×	113 1.0×	100 1.0×	14 0.2×	8	602
Songfang Han United States	8	308 0.5×	73 0.6×	117 1.0×	44 0.4×	16 0.2×	12	412
Branislav Mičušík Austria	13	395 0.6×	207 1.6×	103 0.9×	39 0.4×	16 0.2×	24	474
Rasmus Ramsbøl Jensen Denmark	4	646 1.0×	176 1.4×	198 1.7×	72 0.7×	16 0.2×	7	775
Pablo Speciale Switzerland	7	357 0.5×	157 1.2×	156 1.3×	48 0.5×	8 0.1×	8	442
Kaixuan Wang China	10	319 0.5×	223 1.7×	59 0.5×	47 0.5×	15 0.2×	37	430

Countries citing papers authored by Zuozhuo Dai

Since Specialization

Citations

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

Fields of papers citing papers by Zuozhuo Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuozhuo Dai

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

7 of 7 papers shown

1.

Zhang, Zhenghao, et al.. (2025). Tora: Trajectory-oriented Diffusion Transformer for Video Generation. 2063–2073. 1 indexed citations

2.

Zhang, H. H., et al.. (2024). MWVOS: Mask-Free Weakly Supervised Video Object Segmentation via promptable foundation model. Pattern Recognition. 159. 111100–111100. 1 indexed citations

3.

Gu, Xiaodong, Weihao Yuan, Zuozhuo Dai, et al.. (2023). DRO: Deep Recurrent Optimizer for Video to Depth. IEEE Robotics and Automation Letters. 8(5). 2844–2851. 5 indexed citations

4.

Fan, Zhiwen, et al.. (2021). MeshMVS: Multi-View Stereo Guided Mesh Reconstruction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1290–1300. 8 indexed citations

5.

Gu, Xiaodong, Zhiwen Fan, Siyu Zhu, et al.. (2020). Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2492–2501. 505 indexed citations breakdown →

6.

Dai, Zuozhuo, Mingqiang Chen, Xiaodong Gu, Siyu Zhu, & Ping Tan. (2019). Batch DropBlock Network for Person Re-Identification and Beyond. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3690–3700. 172 indexed citations

7.

Dai, Zuozhuo, et al.. (2018). Batch Feature Erasing for Person Re-identification and Beyond.. 16 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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