Desen Zhou

2.7k total citations · 1 hit paper
9 papers, 1.7k citations indexed

About

Desen Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Desen Zhou has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Desen Zhou's work include Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (3 papers). Desen Zhou is often cited by papers focused on Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Neural Network Applications (3 papers). Desen Zhou collaborates with scholars based in China, United Kingdom and Canada. Desen Zhou's co-authors include Yi Ma, Siqin Chen, Yingying Zhang, Xuming He, Yongfei Liu, Rongjie Li, Bo Wan, Jian Wang, Errui Ding and Yu Guan and has published in prestigious journals such as IEEE Access and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Desen Zhou

9 papers receiving 1.6k 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.

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

2016 1.4k citations Yingying Zhang, Desen Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Desen Zhou China	7	1.4k	938	255	138	102	9	1.7k
Jia Wan China	18	831 0.6×	576 0.6×	139 0.5×	110 0.8×	80 0.8×	29	1.2k
Dawei Du United States	22	1.8k 1.3×	529 0.6×	128 0.5×	45 0.3×	67 0.7×	41	2.3k
Xinshuo Weng United States	12	1.2k 0.9×	332 0.4×	201 0.8×	23 0.2×	71 0.7×	28	1.7k
Hefeng Wu China	18	998 0.7×	605 0.6×	118 0.5×	167 1.2×	35 0.3×	54	1.3k
Huansheng Song China	16	944 0.7×	170 0.2×	97 0.4×	64 0.5×	50 0.5×	71	1.3k
Jinshi Cui China	18	836 0.6×	349 0.4×	33 0.1×	25 0.2×	59 0.6×	63	1.2k
Yang Wu China	20	1.0k 0.7×	312 0.3×	82 0.3×	23 0.2×	46 0.5×	75	1.3k
Yifan Sun China	17	1.6k 1.1×	521 0.6×	56 0.2×	16 0.1×	61 0.6×	44	2.0k
Mingyu Fan China	19	706 0.5×	559 0.6×	72 0.3×	12 0.1×	40 0.4×	66	1.2k
Jérôme Berclaz Switzerland	11	1.6k 1.1×	524 0.6×	84 0.3×	35 0.3×	89 0.9×	15	1.8k

Countries citing papers authored by Desen Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Desen Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Desen Zhou

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

9 of 9 papers shown

1.

Zhou, Desen, Jian Wang, Shidong Wang, et al.. (2023). Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. 1–8. 15 indexed citations

2.

Zhou, Desen, Zhichao Liu, Jian Wang, et al.. (2022). Human-Object Interaction Detection via Disentangled Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19546–19555. 45 indexed citations

3.

Liu, Zhichao, et al.. (2021). Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN. 1–4. 6 indexed citations

4.

Zhou, Desen, et al.. (2021). Single Image 3D Object Estimation with Primitive Graph Networks. 2353–2361. 1 indexed citations

5.

Zhou, Desen, Jian Wang, Shidong Wang, et al.. (2021). Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. 4334–4342. 55 indexed citations

6.

Zhou, Desen, et al.. (2020). PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation. IEEE Access. 8. 15007–15016. 7 indexed citations

7.

Zhou, Desen, et al.. (2020). Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting. IEEE Access. 8. 101616–101627. 8 indexed citations

8.

Wan, Bo, Desen Zhou, Yongfei Liu, Rongjie Li, & Xuming He. (2019). Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection. 9468–9477. 148 indexed citations

9.

Zhang, Yingying, et al.. (2016). Single-Image Crowd Counting via Multi-Column Convolutional Neural Network. 589–597. 1370 indexed citations breakdown →

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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