Ying Wang
Impact in
- Media Technology top 0.2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Neural Network Applications
Papers in
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- Parallel Computing and Optimization Techniques 56
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- Advanced Neural Network Applications 57
- Advanced Vision and Imaging 25
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (24 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (11 papers)IEEE Transactions on Computers (8 papers)Neurocomputing (4 papers)IEEE Transactions on Geoscience and Remote Sensing (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ying Wang
300 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Media Technology 879
- Computer Vision and Pattern Recognition 1.4k
- Hardware and Architecture 450
- Computational Mathematics 19
- Environmental Engineering 331
Countries citing papers authored by Ying Wang
This map shows the geographic impact of Ying 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 Ying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wang more than expected).
Fields of papers citing papers by Ying Wang
This network shows the impact of papers produced by Ying 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 Ying Wang. The network helps show where Ying Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 17 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 29 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 27 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 119 | |
| 19 | 2019 | 9 | |
| 20 | 2018 | 23 |
About Ying Wang
Ying Wang is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 336 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (91 papers), Advanced Neural Network Applications (57 papers), Parallel Computing and Optimization Techniques (56 papers), Ferroelectric and Negative Capacitance Devices (39 papers), Advanced Data Storage Technologies (33 papers), Advanced Vision and Imaging (25 papers), CCD and CMOS Imaging Sensors (23 papers) and Interconnection Networks and Systems (23 papers). The work is most often cited by research in Media Technology (879 citations), Computer Vision and Pattern Recognition (1.4k citations), Hardware and Architecture (450 citations), Computational Mathematics (19 citations) and Environmental Engineering (331 citations). Ying Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaowei Li, Chunhong Pan, Shiming Xiang, Huawei Li, Yinhe Han, Hongzhen Wang, Feiyun Zhu, Bin Fan, Cheng Liu and Haoxiang Lang. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computers, Neurocomputing and IEEE Transactions on Geoscience and Remote Sensing.
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.