Baosong Yang
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
- Text Readability and Simplification
- Text and Document Classification Technologies
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 33
- Natural Language Processing Techniques 31
- Advanced Text Analysis Techniques 6
- Advanced Graph Neural Networks 3
- Speech Recognition and Synthesis 2
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- Multimodal Machine Learning Applications 17
- Co-authors
- Derek F. Wong (15 shared papers)Lidia S. Chao (11 shared papers)Zhaopeng Tu (5 shared papers)Michael R. Lyu (2 shared papers)Jian Li (1 shared paper)Tong Zhang (1 shared paper)Yu Wan (6 shared papers)Fandong Meng (1 shared paper)
- Journals
- Computational Linguistics (2 papers)Knowledge-Based Systems (2 papers)Neurocomputing (1 paper)Information Processing & Management (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Baosong Yang
35 papers receiving 614 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 502
- Computer Vision and Pattern Recognition 210
- Signal Processing 33
- Information Systems 58
- Software 7
Countries citing papers authored by Baosong Yang
This map shows the geographic impact of Baosong 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 Baosong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baosong Yang more than expected).
Fields of papers citing papers by Baosong Yang
This network shows the impact of papers produced by Baosong 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 Baosong Yang. The network helps show where Baosong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baosong 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 114 | |
| 2 | 2018 | 104 | |
| 3 | 2019 | 54 | |
| 4 | 2020 | 50 | |
| 5 | 2021 | 40 | |
| 6 | 2019 | 30 | |
| 7 | 2022 | 30 | |
| 8 | 2019 | 20 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2017 | 17 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2024 | 8 |
About Baosong Yang
Baosong Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Statistical and Nonlinear Physics, having authored 41 papers that have together received 637 indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (31 papers), Multimodal Machine Learning Applications (17 papers), Advanced Text Analysis Techniques (6 papers), Advanced Graph Neural Networks (3 papers), Speech Recognition and Synthesis (2 papers), Information Retrieval and Search Behavior (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (502 citations), Computer Vision and Pattern Recognition (210 citations), Signal Processing (33 citations), Information Systems (58 citations) and Software (7 citations). Baosong Yang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Derek F. Wong, Lidia S. Chao, Zhaopeng Tu, Michael R. Lyu, Jian Li, Tong Zhang, Tong Zhang, Yu Wan, Fandong Meng and Dayiheng Liu. Their work appears in journals such as Computational Linguistics, Knowledge-Based Systems, Neurocomputing, Information Processing & Management and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.