Jian Shao

3.9k citations
66 papers · 2.5k indexed · 1 hit paper · h-index 19
Topics
Advanced Image and Video Retrieval Techniques (20 papers)Multimodal Machine Learning Applications (15 papers)Video Analysis and Summarization (14 papers)

In The Last Decade

Jian Shao

65 papers receiving 2.5k citations

Hit Papers

SCA-CNN: Spatial and Channel-Wise Attention in Convolutio...201720262020202320174008001.2k

Peers

Jian Shao
Comparison fields: 5 of 147
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 828
  • Media Technology 211
  • Radiology, Nuclear Medicine and Imaging 120
  • Signal Processing 109
Replace Yuchen Guo with:
Yuchen Guo China
Ming Liang China
Hossein Rahmani United Kingdom
Xiang Sean Zhou United States
Miguel A. Ferrer Spain
Nanik Suciati Indonesia
Ning Jia China
Shu Zhang China
Min Hu China
Meng Liu China
Jian Shao relative to Yuchen Guo China Yuchen Guo's profile →
Citations per field
00.5×1.5×
Yuchen Guo · 1×
Citations per year

Countries citing papers authored by Jian Shao

Since Specialization
Citations

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

Fields of papers citing papers by Jian Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Shao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 3
4 4
5 14
6 6
7 10
8 7
9 17
10 21
11 15
12 4
13 250
14 14
15
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioningbreakdown →
1411
16 44
17 2
18 25
19 9
20 9

About Jian Shao

Jian Shao is a scholar working on Computer Vision and Pattern Recognition, Aquatic Science and Artificial Intelligence, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Multimodal Machine Learning Applications (15 papers) and Video Analysis and Summarization (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Artificial Intelligence (828 citations) and Media Technology (211 citations). Jian Shao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Xiao, Long Chen, Tat‐Seng Chua, Hanwang Zhang, Wei Liu, Liqiang Nie, Yueting Zhuang, Fei Wu, Dejing Xu and Zhou Zhao. Their work appears in journals such as International Journal of Computer Vision, Vaccine and Neurocomputing.

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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