Bing Yang
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
-
- Human Pose and Action Recognition
Papers in
-
- Speech and Audio Processing 23
- Music and Audio Processing 15
-
- Indoor and Outdoor Localization Technologies 6
- Co-authors
- Hong Liu (19 shared papers)Zhan Chen (1 shared paper)Sicheng Li (1 shared paper)Qinghan Li (1 shared paper)Xiaofei Li (8 shared papers)Runwei Ding (3 shared papers)Yutong Ban (1 shared paper)Hong Liu (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)Water (2 papers)CAAI Transactions on Intelligence Technology (2 papers)Tsinghua Science & Technology (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Bing Yang
43 papers receiving 482 citations
Bing Yang's Hit Papers
Peers
Comparison fields: 5 of 92
- Signal Processing 131
- Computer Vision and Pattern Recognition 231
- Human-Computer Interaction 60
- Artificial Intelligence 168
- Biomedical Engineering 177
Countries citing papers authored by Bing Yang
This map shows the geographic impact of Bing Yang'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 Bing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yang more than expected).
Fields of papers citing papers by Bing Yang
This network shows the impact of papers produced by Bing Yang. 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 Bing Yang. The network helps show where Bing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Yang, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition Hit paper breakdown → | 2021 | 208 |
| 2 | 2020 | 39 | |
| 3 | 2021 | 24 | |
| 4 | 2019 | 18 | |
| 5 | 2021 | 18 | |
| 6 | 2013 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2021 | 6 |
About Bing Yang
Bing Yang is a scholar working on Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 48 papers that have together received 496 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Music and Audio Processing (15 papers), Hearing Loss and Rehabilitation (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Underwater Acoustics Research (4 papers), Parallel Computing and Optimization Techniques (4 papers), Speech Recognition and Synthesis (4 papers) and Advanced Adaptive Filtering Techniques (3 papers). The work is most often cited by research in Signal Processing (131 citations), Computer Vision and Pattern Recognition (231 citations), Human-Computer Interaction (60 citations), Artificial Intelligence (168 citations) and Biomedical Engineering (177 citations). Bing Yang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hong Liu, Zhan Chen, Sicheng Li, Qinghan Li, Xiaofei Li, Runwei Ding, Yutong Ban, Zhan Chen, Hong Liu and Zhipeng Cai. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Water, CAAI Transactions on Intelligence Technology, Tsinghua Science & Technology and IEEE Transactions on Multimedia.
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.