Zheng‐Hua Tan
About
In The Last Decade
Zheng‐Hua Tan
195 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Signal Processing 2.7k
- Artificial Intelligence 2.2k
- Computer Vision and Pattern Recognition 562
- Computational Mechanics 452
- Cognitive Neuroscience 409
Countries citing papers authored by Zheng‐Hua Tan
This map shows the geographic impact of Zheng‐Hua Tan'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 Zheng‐Hua Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng‐Hua Tan more than expected).
Fields of papers citing papers by Zheng‐Hua Tan
This network shows the impact of papers produced by Zheng‐Hua Tan. 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 Zheng‐Hua Tan. The network helps show where Zheng‐Hua Tan may publish in the future.
Co-authorship network of co-authors of Zheng‐Hua Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng‐Hua Tan. A scholar is included among the top collaborators of Zheng‐Hua Tan 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 Zheng‐Hua Tan. Zheng‐Hua Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 23 | |
| 13 | 14 | |
| 14 | 30 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | Multi-talker Speech Separation and Tracing with Permutation Invariant Training of Deep Recurrent Neural Networks. | 9 |
| 18 | User Acceptance of Social Robots | 14 |
| 19 | Multistyle Training and Fusion for Speaker Identification of Disguised Voice | 2 |
| 20 | Automatic Speech Recognition on Mobile Devices and over Communication Networks (Advances in Pattern Recognition) | 5 |
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.