Tianshun Yao
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Co-authors
- Jingbo ZhuLe ZhangBenjamin K. TsouHuizhen WangMingdao ZhangJianping HeLi SongBin Zhang
- Topics
- Natural Language Processing Techniques (8 papers)Topic Modeling (4 papers)Advancements in Battery Materials (4 papers)
- Journals
- ACS Applied Materials & InterfacesIEEE Transactions on Medical ImagingApplied Surface Science
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tianshun Yao
18 papers receiving 394 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 297
- Information Systems 197
- Computer Networks and Communications 107
- Electrical and Electronic Engineering 61
- Mechanical Engineering 54
Countries citing papers authored by Tianshun Yao
This map shows the geographic impact of Tianshun Yao'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 Tianshun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianshun Yao more than expected).
Fields of papers citing papers by Tianshun Yao
This network shows the impact of papers produced by Tianshun Yao. 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 Tianshun Yao. The network helps show where Tianshun Yao may publish in the future.
Co-authorship network of co-authors of Tianshun Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Tianshun Yao. A scholar is included among the top collaborators of Tianshun Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tianshun Yao. Tianshun Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 8 | |
| 4 | 40 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 111 | |
| 12 | EBMT based on finite automata state transfer generation. | 3 |
| 13 | Make Word Sense Disambiguation in EBMT Practical | 1 |
| 14 | SVM Based Chinese Text Chunking | 7 |
| 15 | Recognition of Chinese Chunk | 1 |
| 16 | 218 | |
| 17 | Implementation of Chinese WordNet | 4 |
| 18 | A Statistical Approach to Extract Chinese Chunk Candidates from Large Corpora | 6 |
| 19 | 6 | |
| 20 | Extracting Topics from Texts Based on Situations | 0 |
About Tianshun Yao
Tianshun Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 24 papers that have together received 444 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Artificial Intelligence (297 citations), Information Systems (197 citations) and Computer Networks and Communications (107 citations). Tianshun Yao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingbo Zhu, Le Zhang, Jingbo Zhu, Benjamin K. Tsou, Huizhen Wang, Mingdao Zhang, Jianping He, Li Song, Bin Zhang and Yuanbin Wang. Their work appears in journals such as ACS Applied Materials & Interfaces, IEEE Transactions on Medical Imaging and Applied Surface Science.
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.