Qinghao Ye

1.9k citations
34 papers · 993 · 1 hit paper · h-index 14

Impact in

Papers in

    • Multimodal Machine Learning Applications 12
    • Human Pose and Action Recognition 5
    • Advanced Image and Video Retrieval Techniques 4
    • Video Analysis and Summarization 4
    • Natural Language Processing Techniques 6
    • Topic Modeling 6
    • Domain Adaptation and Few-Shot Learning 4

Qinghao Ye

29 papers receiving 951 citations

Qinghao Ye's Hit Papers

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond 2021 · 457 citations
4570+1+3Years since publication100200300400

Peers

Qinghao Ye
Comparison fields: 5 of 126
  • Health Informatics 148
  • Computer Vision and Pattern Recognition 343
  • Artificial Intelligence 406
  • Neurology 87
  • Health Information Management 48
Replace Shih-Cheng Huang with:
Shih-Cheng Huang United States
Xiaoxia Yin Australia
Veronika Cheplygina Netherlands
Melissa Berthelot United Kingdom
Yujia Zhou China
Ali Mottaghi United States
Sangheum Hwang South Korea
Ruogu Fang United States
Hossam Magdy Balaha Egypt
Lauren Kim United States
Qinghao Ye relative to Shih-Cheng Huang United States Shih-Cheng Huang's profile →
Citations per field
00.5×
Shih-Cheng Huang · 1×
Citations per year

Countries citing papers authored by Qinghao Ye

Since Specialization
Citations

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

Fields of papers citing papers by Qinghao Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Hit paper breakdown →
2021457
2 202076
3 202167
4 202444
5 202243
6 200234
7 202132
8 202131
9 202024
10 200924
11 202322
12 202322
13 202418
14 201416
15 202312
16 202212
17 20219
18 20237
19 20226
20 20235

About Qinghao Ye

Qinghao Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 993 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Human Pose and Action Recognition (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Analysis and Summarization (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (148 citations), Computer Vision and Pattern Recognition (343 citations), Artificial Intelligence (406 citations), Neurology (87 citations) and Health Information Management (48 citations). Qinghao Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guang Yang, Jun Xia, Ping Li, Xianghua Xu, Luming Zhang, Qi Bi, Ling Shao, Gui-Song Xia, Kun Qin and Ming Yan. Their work appears in journals such as Pattern Recognition, Scientific Reports, Frontiers in Aging Neuroscience, IEEE Transactions on Applied Superconductivity and IEEE Access.

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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