Shengcao Cao

514 total citations · 1 hit paper
5 papers, 319 citations indexed

About

Shengcao Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shengcao Cao has authored 5 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Shengcao Cao's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Video Surveillance and Tracking Methods (2 papers). Shengcao Cao is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Video Surveillance and Tracking Methods (2 papers). Shengcao Cao collaborates with scholars based in United States and China. Shengcao Cao's co-authors include Kris Kitani, Zhiqing Sun, Yiming Yang, Liang-Yan Gui, Yu-Xiong Wang, Dhiraj Joshi, Yu-Xiong Wang, Zhihao Zhang and Xiaofang Wang and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Shengcao Cao

4 papers receiving 309 citations

Hit Papers

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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.

Rethinking Transformer-based Set Prediction for Object Detection

2021 255 citations Zhiqing Sun, Shengcao Cao et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shengcao Cao	244	108	54	40	25	5	319
Heqian Qiu	295 1.2×	135 1.3×	68 1.3×	50 1.3×	24 1.0×	46	389
Shuzhou Sun	240 1.0×	82 0.8×	69 1.3×	44 1.1×	16 0.6×	9	359
Tao Gong	253 1.0×	157 1.5×	53 1.0×	77 1.9×	37 1.5×	18	446
Banghuai Li	247 1.0×	166 1.5×	57 1.1×	49 1.2×	22 0.9×	5	363
Sergi Caelles	208 0.9×	53 0.5×	24 0.4×	33 0.8×	32 1.3×	2	295
Zhuofan Zong	192 0.8×	68 0.6×	25 0.5×	51 1.3×	13 0.5×	5	294
Tobias Pohlen	300 1.2×	106 1.0×	45 0.8×	29 0.7×	8 0.3×	2	399
Zeming Li	375 1.5×	158 1.5×	58 1.1×	46 1.1×	12 0.5×	8	450

Countries citing papers authored by Shengcao Cao

Since Specialization

Citations

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

Fields of papers citing papers by Shengcao Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengcao Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Shengcao Cao. A scholar is included among the top collaborators of Shengcao Cao 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 Shengcao Cao. Shengcao Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Zhang, Zhihao, Shengcao Cao, & Yu-Xiong Wang. (2024). TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. 21413–21423. 3 indexed citations

2.

Cao, Shengcao, Dhiraj Joshi, Liang-Yan Gui, & Yu-Xiong Wang. (2023). Contrastive Mean Teacher for Domain Adaptive Object Detectors. 23839–23848. 60 indexed citations

3.

Sun, Zhiqing, Shengcao Cao, Yiming Yang, & Kris Kitani. (2021). Rethinking Transformer-based Set Prediction for Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3591–3600. 255 indexed citations breakdown →

4.

Wang, Xiaofang, et al.. (2021). Neighborhood-Aware Neural Architecture Search.

5.

Cao, Shengcao, Xiaofang Wang, & Kris Kitani. (2019). Learnable Embedding Space for Efficient Neural Architecture Compression. arXiv (Cornell University). 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.

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