Wei Qiu
Impact in
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- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Human Pose and Action Recognition
- Health Informatics top 10%
Papers in
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- Intraocular Surgery and Lenses 4
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- Medical Image Segmentation Techniques 4
- Multimodal Machine Learning Applications 2
- Co-authors
- Bernt Schiele (2 shared papers)Manfred Pinkal (2 shared papers)Marcus Rohrbach (2 shared papers)Stefan Thater (1 shared paper)Ivan S. Titov (1 shared paper)Anna Rohrbach (1 shared paper)Annemarie Friedrich (1 shared paper)Yanjun Hua (3 shared papers)
- Journals
- PLoS ONE (2 papers)PeerJ (1 paper)Image and Vision Computing (1 paper)BMC Ophthalmology (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Qiu
31 papers receiving 905 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 455
- Health Informatics 24
- Environmental Chemistry 82
- Ophthalmology 55
- Artificial Intelligence 103
Countries citing papers authored by Wei Qiu
This map shows the geographic impact of Wei Qiu'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 Wei Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Qiu more than expected).
Fields of papers citing papers by Wei Qiu
This network shows the impact of papers produced by Wei Qiu. 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 Wei Qiu. The network helps show where Wei Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Qiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 286 | |
| 2 | 2014 | 157 | |
| 3 | 2023 | 81 | |
| 4 | 2007 | 65 | |
| 5 | 2021 | 42 | |
| 6 | 2018 | 41 | |
| 7 | 2018 | 37 | |
| 8 | 2023 | 37 | |
| 9 | 2010 | 31 | |
| 10 | 2020 | 20 | |
| 11 | 2022 | 20 | |
| 12 | 2023 | 18 | |
| 13 | 2016 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2018 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2010 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 4 |
About Wei Qiu
Wei Qiu is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition, Environmental Chemistry, Reproductive Medicine and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 931 indexed citations. Recurring topics across this work include Intraocular Surgery and Lenses (4 papers), Medical Image Segmentation Techniques (4 papers), Virus-based gene therapy research (3 papers), Corneal surgery and disorders (3 papers), Per- and polyfluoroalkyl substances research (3 papers), Advanced Text Analysis Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (455 citations), Health Informatics (24 citations), Environmental Chemistry (82 citations), Ophthalmology (55 citations) and Artificial Intelligence (103 citations). Wei Qiu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bernt Schiele, Manfred Pinkal, Marcus Rohrbach, Stefan Thater, Ivan S. Titov, Anna Rohrbach, Annemarie Friedrich, Yanjun Hua, Qiang En Wu and Jun Zhang. Their work appears in journals such as PLoS ONE, PeerJ, Image and Vision Computing, BMC Ophthalmology and Journal of Biomedical Informatics.
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.