Zhiyang Teng
- Artificial Intelligence top 2%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (14 papers)Advanced Text Analysis Techniques (7 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
In The Last Decade
Zhiyang Teng
24 papers receiving 618 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 517
- Management Science and Operations Research 79
- Computer Vision and Pattern Recognition 75
- Information Systems 61
- Electrical and Electronic Engineering 40
Countries citing papers authored by Zhiyang Teng
This map shows the geographic impact of Zhiyang Teng'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 Zhiyang Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiyang Teng more than expected).
Fields of papers citing papers by Zhiyang Teng
This network shows the impact of papers produced by Zhiyang Teng. 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 Zhiyang Teng. The network helps show where Zhiyang Teng may publish in the future.
Co-authorship network of co-authors of Zhiyang Teng
This figure shows the co-authorship network connecting the top 25 collaborators of Zhiyang Teng. A scholar is included among the top collaborators of Zhiyang Teng 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 Zhiyang Teng. Zhiyang Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 60 | |
| 11 | 42 | |
| 12 | 36 | |
| 13 | 82 | |
| 14 | 9 | |
| 15 | 20 | |
| 16 | 71 | |
| 17 | 23 | |
| 18 | Measuring the Information Content of Financial News. | 22 |
| 19 | LibN3L:A Lightweight Package for Neural NLP | 8 |
| 20 | 13 |
About Zhiyang Teng
Zhiyang Teng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 25 papers that have together received 640 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (517 citations), Management Science and Operations Research (79 citations) and Computer Vision and Pattern Recognition (75 citations). Zhiyang Teng has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Yue Zhang, Yue Zhang, Zhijiang Guo, Wei Lu, Yan Zhang, Yue Zhang, Zhongqing Wang, Lei Shi, Alexander Binder and Leyang Cui. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Language Resources and Evaluation 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.