Zi Lin
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Machine Learning in Healthcare
- Anomaly Detection Techniques and Applications
Papers in
-
- Natural Language Processing Techniques 7
- Topic Modeling 7
- Text Readability and Simplification 2
- Advanced Text Analysis Techniques 1
-
- Video Surveillance and Tracking Methods 1
- Co-authors
- Di He (2 shared papers)Zhuohan Li (2 shared papers)Tiantian Zhu (1 shared paper)Tieming Chen (1 shared paper)Lei Fu (1 shared paper)Yan Chen (1 shared paper)Zi Yang (1 shared paper)Fei Tian (1 shared paper)
- Journals
- Computational Linguistics (1 paper)Scientific Reports (1 paper)Journal of Clinical Medicine (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)Materials science forum (2 papers)
- Partner nations
- ChinaUnited StatesMyanmar
In The Last Decade
Zi Lin
13 papers receiving 154 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 6
- Artificial Intelligence 98
- Computer Vision and Pattern Recognition 48
- Signal Processing 15
- Health Information Management 6
Countries citing papers authored by Zi Lin
This map shows the geographic impact of Zi Lin'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 Zi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi Lin more than expected).
Fields of papers citing papers by Zi Lin
This network shows the impact of papers produced by Zi Lin. 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 Zi Lin. The network helps show where Zi Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zi Lin, 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 | 2020 | 31 | |
| 2 | 2019 | 29 | |
| 3 | 2020 | 23 | |
| 4 | Fast Structured Decoding for Sequence Models | 2019 | 21 |
| 5 | 2020 | 18 | |
| 6 | 2022 | 11 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 1 |
About Zi Lin
Zi Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Automotive Engineering, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 13 papers that have together received 157 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers), Text Readability and Simplification (2 papers), Advanced Text Analysis Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Medical Coding and Health Information (1 paper), Biometric Identification and Security (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (6 citations), Artificial Intelligence (98 citations), Computer Vision and Pattern Recognition (48 citations), Signal Processing (15 citations) and Health Information Management (6 citations). Zi Lin has collaborated with scholars based in China, United States and Myanmar. Frequent co-authors include Di He, Zhuohan Li, Tiantian Zhu, Tieming Chen, Lei Fu, Yan Chen, Zi Yang, Fei Tian, Tie‐Yan Liu and Haoqing Wang. Their work appears in journals such as Computational Linguistics, Scientific Reports, Journal of Clinical Medicine, IEEE Transactions on Information Forensics and Security and Materials science forum.
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.