Yazhe Li
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
-
- Speech Recognition and Synthesis
Papers in
-
- Imbalanced Data Classification Techniques 3
- Speech Recognition and Synthesis 1
- Co-authors
- Cristina Gârbacea (1 shared paper)Thomas C. Walters (1 shared paper)Felicia S. C. Lim (1 shared paper)Alejandro Luebs (1 shared paper)Oriol Vinyals (1 shared paper)Aäron van den Oord (1 shared paper)Niall M. Adams (2 shared papers)Dejun Xie (2 shared papers)
- Journals
- Journal of Statistical Computation and Simulation (1 paper)Ecosystem Health and Sustainability (1 paper)Journal of Computational and Graphical Statistics (1 paper)Communications in Statistics - Simulation and Computation (1 paper)Frontiers of Earth Science (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yazhe Li
8 papers receiving 140 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 65
- Artificial Intelligence 65
- Management, Monitoring, Policy and Law 20
- Computer Vision and Pattern Recognition 34
- Safety, Risk, Reliability and Quality 10
Countries citing papers authored by Yazhe Li
This map shows the geographic impact of Yazhe Li'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 Yazhe Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yazhe Li more than expected).
Fields of papers citing papers by Yazhe Li
This network shows the impact of papers produced by Yazhe Li. 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 Yazhe Li. The network helps show where Yazhe Li may publish in the future.
Co-authors
The 24 scholars most cited alongside Yazhe Li, 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 | 2019 | 81 | |
| 2 | 2015 | 21 | |
| 3 | 2023 | 13 | |
| 4 | 2014 | 11 | |
| 5 | 2019 | 10 | |
| 6 | 2021 | 8 | |
| 7 | Research of Sentiment Classification Based on the Chinese Stock Blog | 2015 | 2 |
| 8 | 2023 | 1 | |
| 9 | 2024 | 0 |
About Yazhe Li
Yazhe Li is a scholar working on Artificial Intelligence, Atmospheric Science, Statistics, Probability and Uncertainty, Statistics and Probability and Oceanography, having authored 9 papers that have together received 147 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (3 papers), Advanced Statistical Process Monitoring (2 papers), Landslides and related hazards (1 paper), Stock Market Forecasting Methods (1 paper), Statistical Distribution Estimation and Applications (1 paper), Advanced Data Compression Techniques (1 paper), Geotechnical Engineering and Analysis (1 paper) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Signal Processing (65 citations), Artificial Intelligence (65 citations), Management, Monitoring, Policy and Law (20 citations), Computer Vision and Pattern Recognition (34 citations) and Safety, Risk, Reliability and Quality (10 citations). Yazhe Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Cristina Gârbacea, Thomas C. Walters, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Aäron van den Oord, Niall M. Adams, Dejun Xie, Yujian Liu and Kaihuai Qin. Their work appears in journals such as Journal of Statistical Computation and Simulation, Ecosystem Health and Sustainability, Journal of Computational and Graphical Statistics, Communications in Statistics - Simulation and Computation and Frontiers of Earth 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.