Mei Yang

1.9k total citations · 1 hit paper
88 papers, 1.5k citations indexed

About

Mei Yang is a scholar working on Biomedical Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Mei Yang has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 14 papers in Artificial Intelligence and 13 papers in Mechanical Engineering. Recurrent topics in Mei Yang's work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Advanced materials and composites (8 papers). Mei Yang is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Advanced materials and composites (8 papers). Mei Yang collaborates with scholars based in China, United States and Canada. Mei Yang's co-authors include Zhixing Guo, Ji Xiong, Katrin Kirchhoff, Changhua Lu, Chun Liu, Tao Wang, Yining Sun, Rui Xie, Hong Huang and Liang‐Yin Chu and has published in prestigious journals such as ACS Nano, Renewable and Sustainable Energy Reviews and Advanced Functional Materials.

In The Last Decade

Mei Yang

79 papers receiving 1.4k citations

Hit Papers

Automatic ECG Classification Using Continuous Wavelet Tra... 2021 2026 2022 2024 2021 50 100 150

Peers

Mei Yang
Comparison fields: 5 of 134
  • Biomedical Engineering 391
  • Mechanical Engineering 322
  • Artificial Intelligence 200
  • Electrical and Electronic Engineering 200
  • Materials Chemistry 196
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Citations per field, relative to Mei Yang
Mei Yang · 1×
Citations per year, relative to Mei Yang
Mei Yang · 1×

Countries citing papers authored by Mei Yang

Since Specialization
Citations

This map shows the geographic impact of Mei Yang'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 Mei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Yang more than expected).

Fields of papers citing papers by Mei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei Yang. 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 Mei Yang. The network helps show where Mei Yang may publish in the future.

Co-authorship network of co-authors of Mei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Yang. A scholar is included among the top collaborators of Mei Yang 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 Mei Yang. Mei Yang 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 1
2 4
3 0
4 0
5 4
6 0
7 1
8 14
9 3
10 1
11 7
12 22
13 23
14
Unsupervised Translation Disambiguation for Cross-Domain Statistical Machine Translation.
3
15
A Wavelet Multi-distinguishing Analysis Method of Pulse Signal
1
16
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
3
17
A Cognitive Study of Temporal Metaphors in Chinese
1
18
An Analysis of Line Breaking in Undercurrent Earthed System
2
19
The University of Washington Machine Translation System for the IWSLT 2007 Competition
4
20 43

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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