Yang Wen

2.1k citations
64 papers · 1.0k · 2 hit papers · h-index 11

Impact in

Papers in

Yang Wen

49 papers receiving 1.0k citations

Hit Papers

Rethinking Vision Transformers for MobileNet Size and Speed 2023 · 145 citations
1450+1+3Years since publication100200300

Peers

Yang Wen
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 484
  • Media Technology 161
  • Ophthalmology 150
  • Health Information Management 66
  • Radiology, Nuclear Medicine and Imaging 266
Replace Mamta Juneja with:
Mamta Juneja India
Shilpa Gite India
Omar Elharrouss Qatar
Guangmin Sun China
Ghulam Ali Pakistan
Varun Gupta India
Mohammad Farukh Hashmi India
Ghazanfar Latif Saudi Arabia
Igi Ardiyanto Indonesia
Vatsala Anand India
Yang Wen relative to Mamta Juneja India Mamta Juneja's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A deep learning system for detecting diabetic retinopathy across the disease spectrum
Hit paper breakdown →
2021319
2
Rethinking Vision Transformers for MobileNet Size and Speed
Hit paper breakdown →
2023145
3 2017103
4 201894
5 200572
6 202147
7 201841
8 201822
9 202318
10 202315
11 200213
12 202110
13 202310
14 202410
15 20238
16 20207
17 20207
18 20236
19 20216
20 20106

About Yang Wen

Yang Wen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology, Biomedical Engineering and Artificial Intelligence, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (9 papers), Advanced Image Processing Techniques (7 papers), Advanced Vision and Imaging (6 papers), Forensic and Genetic Research (4 papers), Image Processing Techniques and Applications (4 papers), Advanced Neural Network Applications (4 papers), Retinal Diseases and Treatments (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (484 citations), Media Technology (161 citations), Ophthalmology (150 citations), Health Information Management (66 citations) and Radiology, Nuclear Medicine and Imaging (266 citations). Yang Wen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bin Sheng, Jianhong Zou, Qianchuan Zhao, Fulin Wang, Ping Li, Dagan Feng, Weiyao Lin, Bin Sheng, Kuanquan Wang and Jian Ren. Their work appears in journals such as The Visual Computer, Displays, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and Pattern Recognition.

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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