Qiang Yin
- Ceramics and Composites top 10%
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- Graph Theory and Algorithms 14
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 14
- Logic, programming, and type systems 3
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 3
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- Complexity and Algorithms in Graphs 6
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- Cloud Computing and Resource Management 3
- Recommender Systems and Techniques 3
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- DNA and Biological Computing 2
- Journals
- SHILAP Revista de lepidopterología (1 paper)International Journal of Molecular Sciences (1 paper)Journal of Materials Processing Technology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Qiang Yin
31 papers receiving 509 citations
Peers
Comparison fields: 5 of 58
- Ceramics and Composites 64
- Computer Vision and Pattern Recognition 227
- Artificial Intelligence 220
- Hardware and Architecture 31
- Computer Networks and Communications 101
Countries citing papers authored by Qiang Yin
This map shows the geographic impact of Qiang Yin'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 Qiang Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Yin more than expected).
Fields of papers citing papers by Qiang Yin
This network shows the impact of papers produced by Qiang Yin. 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 Qiang Yin. The network helps show where Qiang Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiang Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 41 | |
| 9 | 2020 | 33 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 6 | |
| 12 | The diagnostic value of MRI multi-parameter combination for breast lesions with ring enhancement. | 2019 | 1 |
| 13 | 2019 | 5 | |
| 14 | 2018 | 27 | |
| 15 | 2018 | 32 | |
| 16 | 2017 | 18 | |
| 17 | 2016 | 1 | |
| 18 | 2014 | 12 | |
| 19 | 2010 | 4 | |
| 20 | 2010 | 17 |
About Qiang Yin
Qiang Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 34 papers that have together received 516 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (14 papers), Advanced Graph Neural Networks (14 papers), Complexity and Algorithms in Graphs (6 papers), Logic, programming, and type systems (3 papers), Cloud Computing and Resource Management (3 papers), Parallel Computing and Optimization Techniques (3 papers), Recommender Systems and Techniques (3 papers) and DNA and Biological Computing (2 papers). The work is most often cited by research in Ceramics and Composites (64 citations), Computer Vision and Pattern Recognition (227 citations) and Artificial Intelligence (220 citations). Qiang Yin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wenyuan Yu, Jingren Zhou, Wenfei Fan, Lai‐Peng Ma, Yansheng Yin, Ping Lü, Yuhua Zhen, Aiju Li, Qiang Zhang and Xiaopeng Wei. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Materials Processing Technology.
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.