Ya Wang
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
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- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
Papers in
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- Perovskite Materials and Applications 7
- Chalcogenide Semiconductor Thin Films 2
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- Image Retrieval and Classification Techniques 3
- Advanced Neural Network Applications 2
- Co-authors
- Zhichao Zhou (1 shared paper)Li Fu (1 shared paper)Xiang Long (1 shared paper)Dongliang He (1 shared paper)Jinwen Ma (1 shared paper)Shilei Wen (1 shared paper)Hang Zhou (8 shared papers)Chuan Liu (4 shared papers)
- Journals
- Microporous and Mesoporous Materials (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Neurocomputing (1 paper)Advanced Materials Technologies (1 paper)Frontiers in Energy Research (1 paper)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Ya Wang
28 papers receiving 352 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 93
- Artificial Intelligence 89
- Electrical and Electronic Engineering 144
- Materials Chemistry 106
- Polymers and Plastics 28
Countries citing papers authored by Ya Wang
This map shows the geographic impact of Ya Wang'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 Ya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Wang more than expected).
Fields of papers citing papers by Ya Wang
This network shows the impact of papers produced by Ya Wang. 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 Ya Wang. The network helps show where Ya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Wang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2020 | 40 | |
| 3 | 2019 | 33 | |
| 4 | 2017 | 26 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2006 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Ya Wang
Ya Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry and Computer Networks and Communications, having authored 32 papers that have together received 359 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (7 papers), Conducting polymers and applications (3 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Neural Network Applications (2 papers), Quantum Dots Synthesis And Properties (2 papers), Chalcogenide Semiconductor Thin Films (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Ga2O3 and related materials (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (93 citations), Artificial Intelligence (89 citations), Electrical and Electronic Engineering (144 citations), Materials Chemistry (106 citations) and Polymers and Plastics (28 citations). Ya Wang has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Zhichao Zhou, Li Fu, Xiang Long, Dongliang He, Jinwen Ma, Shilei Wen, Hang Zhou, Chuan Liu, Taoyu Zou and Yanding Wang. Their work appears in journals such as Microporous and Mesoporous Materials, Journal of Agricultural and Food Chemistry, Neurocomputing, Advanced Materials Technologies and Frontiers in Energy Research.
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.