Jun Wei

2.1k citations
18 papers · 1.4k · 3 hit papers · h-index 8

Impact in

Papers in

    • Advanced Neural Network Applications 8
    • Advanced Image and Video Retrieval Techniques 6
    • Visual Attention and Saliency Detection 3
    • Medical Image Segmentation Techniques 2
    • Image Retrieval and Classification Techniques 2
    • Colorectal Cancer Screening and Detection 4

Jun Wei

14 papers receiving 1.4k citations

Jun Wei's Hit Papers

Shallow Attention Network for Polyp Segmentation 2021 · 209 citations
2090+2+4Years since publication200400600

Peers

Jun Wei
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 223
  • Sensory Systems 104
  • Human-Computer Interaction 64
  • Cognitive Neuroscience 163
Replace Shuhan Chen with:
Shuhan Chen China
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Zijun Deng China
Bo Dong China
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Jun Wei relative to Shuhan Chen China Shuhan Chen's profile →
Citations per field
00.5×1.5×2.2×
Shuhan Chen · 1×
Citations per year

Countries citing papers authored by Jun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Wei, 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 Jun Wei Line = papers co-authored together Jun Wei links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
F³Net: Fusion, Feedback and Focus for Salient Object Detection
Hit paper breakdown →
2020749
2
Label Decoupling Framework for Salient Object Detection
Hit paper breakdown →
2020282
3
Shallow Attention Network for Polyp Segmentation
Hit paper breakdown →
2021209
4 202167
5 202117
6 202315
7 202213
8 202210
9 20217
10 20235
11 20055
12 20214
13 20112
14 20211
15 20190
16 20250
17 20200
18 20250

About Jun Wei

Jun Wei is a scholar working on Computer Vision and Pattern Recognition, Oncology, Aerospace Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Colorectal Cancer Screening and Detection (4 papers), Visual Attention and Saliency Detection (3 papers), Medical Image Segmentation Techniques (2 papers), Robotics and Sensor-Based Localization (2 papers), Image Retrieval and Classification Techniques (2 papers) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (223 citations), Sensory Systems (104 citations), Human-Computer Interaction (64 citations) and Cognitive Neuroscience (163 citations). Jun Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingming Huang, Shuhui Wang, Shuguang Cui, Qi Tian, Chi Su, Zhe Wu, Zhen Li, Yiwen Hu, S. Kevin Zhou and Ruimao Zhang. Their work appears in journals such as Physics in Medicine and Biology, Chemical Engineering Journal, IEEE Access, IET Renewable Power Generation and ACS Applied Materials & Interfaces.

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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