Yiming Wang
- Artificial Intelligence top 1%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 5%
- Co-authors
- Sanjeev KhudanpurDaniel PoveyVijayaditya PeddintiXingyu NaDaniel GálvezPegah GhahremaniVimal ManoharAlessio Del Bue
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (18 papers)Speech Recognition and Synthesis (13 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Yiming Wang
142 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 1.2k
- Signal Processing 552
- Computer Vision and Pattern Recognition 463
- Radiology, Nuclear Medicine and Imaging 347
- Ophthalmology 111
Countries citing papers authored by Yiming Wang
This map shows the geographic impact of Yiming Wang'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 Yiming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Wang more than expected).
Fields of papers citing papers by Yiming Wang
This network shows the impact of papers produced by Yiming Wang. 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 Yiming Wang. The network helps show where Yiming Wang may publish in the future.
Co-authorship network of co-authors of Yiming Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Wang. A scholar is included among the top collaborators of Yiming Wang 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 Yiming Wang. Yiming Wang 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 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 17 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 16 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 7 | |
| 17 | Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMIbreakdown → | 458 |
| 18 | A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task | 3 |
| 19 | Noise robust speaker identification using Bhattacharyya distance in adapted Gaussian models space | 5 |
| 20 | 0 |
About Yiming Wang
Yiming Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 160 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Speech Recognition and Synthesis (13 papers). The work is most often cited by research in Signal Processing (552 citations), Artificial Intelligence (1.2k citations) and Computer Vision and Pattern Recognition (463 citations). Yiming Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Sanjeev Khudanpur, Daniel Povey, Vijayaditya Peddinti, Xingyu Na, Daniel Gálvez, Pegah Ghahremani, Vimal Manohar, Alessio Del Bue, Meng Lou and Yide Ma. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Virology.
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.