Shengcao Cao

514 citations
5 papers · 319 indexed · 1 hit paper · h-index 3
Topics
Advanced Neural Network Applications (3 papers)Domain Adaptation and Few-Shot Learning (3 papers)Video Surveillance and Tracking Methods (2 papers)
Journals
2021 IEEE/CVF International Conference on Computer Vision (ICCV)arXiv (Cornell University)
Partner nations
United StatesChina

In The Last Decade

Shengcao Cao

4 papers receiving 309 citations

Hit Papers

Rethinking Transformer-based Set Prediction for Object De...2021202620222024202150100150200250

Peers

Shengcao Cao
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 244
  • Artificial Intelligence 108
  • Media Technology 54
  • Aerospace Engineering 40
  • Electrical and Electronic Engineering 25
Replace Heqian Qiu with:
Heqian Qiu China
Mennatullah Siam Canada
Kevis-Kokitsi Maninis Switzerland
Shuzhou Sun China
Zeming Li China
Tobias Pohlen Germany
Mengyang Pu China
Jing Nie China
Shengcao Cao relative to Heqian Qiu China Heqian Qiu's profile →
Citations per field
00.5×1.5×
Heqian Qiu · 1×
Citations per year

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

5 of 5 papers shown
#WorkIndexed citations
1 3
2 60
3
Rethinking Transformer-based Set Prediction for Object Detectionbreakdown →
255
4 0
5
Learnable Embedding Space for Efficient Neural Architecture Compression
1

About Shengcao Cao

Shengcao Cao is a scholar working on Computer Vision and Pattern Recognition, Geology and Artificial Intelligence, having authored 5 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Media Technology (54 citations) and Artificial Intelligence (108 citations). Shengcao Cao has collaborated with scholars based in United States and China. Frequent co-authors include Yiming Yang, Kris Kitani, Zhiqing Sun, Liang-Yan Gui, Dhiraj Joshi, Yu-Xiong Wang, Yu-Xiong Wang, Zhihao Zhang and Xiaofang Wang. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

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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