Yiming Wang

3.7k total citations · 1 hit paper
160 papers, 2.1k citations indexed

About

Yiming Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yiming Wang has authored 160 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 49 papers in Computer Vision and Pattern Recognition and 26 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yiming Wang's work include Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Speech Recognition and Synthesis (13 papers). Yiming Wang is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers) and Speech Recognition and Synthesis (13 papers). Yiming Wang collaborates with scholars based in China, United States and Italy. Yiming Wang's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Virology.

In The Last Decade

Yiming Wang

142 papers receiving 1.9k citations

Hit Papers

Purely Sequence-Trained Neural Networks for ASR Based on ... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Yiming Wang
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
Replace Yan Pei with:
Yan Pei Japan
George D. C. Cavalcanti Brazil
Aun Irtaza Pakistan
Luı́s A. Alexandre Portugal
Hammam Alshazly Egypt
Chao Gou China
Chiranji Lal Chowdhary India
Mohd Shafry Mohd Rahim Malaysia
Banshidhar Majhi India
Yisen Wang China
Yan Pei Japan View profile →
Citations per field, relative to Yiming Wang
Yiming Wang · 1×
Citations per year, relative to Yiming Wang
Yiming Wang · 1×

Countries citing papers authored by Yiming Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 MMI breakdown →
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

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.

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