Group Sense (China)

69.5k citations
1.1k papers ·

Impact in

    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Advanced Vision and Imaging
    • Multimodal Machine Learning Applications
    • Image Enhancement Techniques

Papers in

Group Sense (China)

948 papers receiving 67.9k citations

Peers

Group Sense (China)
Comparison fields: 5 of 218
  • Computer Vision and Pattern Recognition 50.2k
  • Media Technology 7.3k
  • Artificial Intelligence 17.3k
  • Computer Graphics and Computer-Aided Design 1.3k
  • Geology 1.7k
Replace Shenzhen Research Institute of Big Data with:
Shenzhen Research Institute of Big Data China
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Group Sense (China) relative to Shenzhen Research Institute of Big Data China Shenzhen Research Institute of Big Data's profile →
Citations per field
00.5×7.7×
Shenzhen Research Institute of Big Data · 1×
Citations per year

Countries citing scholars working at Group Sense (China)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Group Sense (China). 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 papers produced at Group Sense (China) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Group Sense (China) more than expected).

Fields of papers published by authors at Group Sense (China)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Group Sense (China) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Group Sense (China) at the time of their publication.

About Group Sense (China)

In recent decades, authors affiliated with Group Sense (China) have published 1.1k papers, which have received a total of 69.5k indexed citations . Scholars at this organization have produced 689 papers in Computer Vision and Pattern Recognition, 29 papers in Computer Graphics and Computer-Aided Design, 268 papers in Artificial Intelligence, 63 papers in Media Technology and 42 papers in Signal Processing on the topics of Advanced Neural Network Applications (265 papers), Domain Adaptation and Few-Shot Learning (154 papers), Advanced Image and Video Retrieval Techniques (141 papers), Advanced Vision and Imaging (122 papers), Video Surveillance and Tracking Methods (104 papers), Human Pose and Action Recognition (102 papers), Multimodal Machine Learning Applications (87 papers) and Advanced Image Processing Techniques (82 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (50.2k citations), Media Technology (7.3k citations), Artificial Intelligence (17.3k citations), Computer Graphics and Computer-Aided Design (1.3k citations) and Geology (1.7k citations). Authors at Group Sense (China) collaborate with scholars in China, Hong Kong and United States and have published in prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, International Journal of Computer Vision, Lecture notes in computer science and IEEE Transactions on Circuits and Systems for Video Technology. Some of Group Sense (China)'s most productive authors include Jianping Shi, Xiaogang Wang, Jiaya Jia, Hengshuang Zhao, Xiaojuan Qi, Junjie Yan, Wei Wu, Ping Luo, Xiaoou Tang and Hongsheng Li.

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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