Jianbing Shen

13.4k citations
85 papers · 7.9k indexed · 6 hit papers · h-index 40

Jianbing Shen

82 papers receiving 7.8k citations

Hit Papers

Salient Object Detection in the Deep Learning Era: An In-...46520192026202120234008001.2k

Peers

Jianbing Shen
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 6.1k
  • Health Informatics 94
  • Media Technology 560
  • Sensory Systems 260
  • Artificial Intelligence 1.6k
Replace Guanbin Li with:
Guanbin Li China
Qibin Hou China
Pierre‐Marc Jodoin Canada
Deng-Ping Fan China
Hong Qin United States
Yun Liu China
Zhe Lin United States
Dingwen Zhang China
Xiaohui Shen United States
Bingbing Ni China
Jianbing Shen relative to Guanbin Li China Guanbin Li's profile →
Citations per field
00.5×1.5×2.4×
Guanbin Li · 1×
Citations per year

Countries citing papers authored by Jianbing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jianbing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jianbing Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jianbing Shen Line = papers co-authored together Jianbing Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20245
5 20242
6 20240
7 20239
8 20238
9 202314
10 20237
11 202250
12 202239
13 20216
14 202195
15
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans
202022
16
Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis.
20206
17 201951
18
Quadruplet Network with One-Shot Learning for Visual Tracking.
20171
19 201639
20
MAGIC CUBE TRANSFORMATION AND ITS APPLICATION IN DIGITAL IMAGE ENCRYPTION
20028

About Jianbing Shen

Jianbing Shen is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Artificial Intelligence, having authored 85 papers that have together received 7.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (30 papers), Video Surveillance and Tracking Methods (23 papers), Visual Attention and Saliency Detection (21 papers), Human Pose and Action Recognition (19 papers), Advanced Image and Video Retrieval Techniques (18 papers), Domain Adaptation and Few-Shot Learning (17 papers), Multimodal Machine Learning Applications (11 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.1k citations), Health Informatics (94 citations) and Media Technology (560 citations). Jianbing Shen has collaborated with scholars based in China, United Arab Emirates and Macao. Frequent co-authors include Ling Shao, Mang Ye, Wenguan Wang, Steven C. H. Hoi, Huazhu Fu, Tao Xiang, Deng-Ping Fan, Ge-Peng Ji, Haibin Ling and Tao Zhou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

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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