Mo Yu

1.5k citations
36 papers · 810 · 1 hit paper · h-index 12

Impact in

Papers in

Mo Yu

34 papers receiving 790 citations

Mo Yu's Hit Papers

Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit 2021 · 237 citations
2370+1+3Years since publication50100150200

Peers

Mo Yu
Comparison fields: 5 of 112
  • Media Technology 131
  • Medical Laboratory Technology 18
  • Computer Vision and Pattern Recognition 265
  • Control and Systems Engineering 196
  • Safety, Risk, Reliability and Quality 52
Replace Aihua Li with:
Aihua Li China
Cunbao Ma China
Ting Rui China
Jiansheng Qian China
Jonghyun Kim South Korea
Renjie Song China
Zhichao Song China
Zhongli Wang China
Donghai Zhai China
Mo Yu relative to Aihua Li China Aihua Li's profile →
Citations per field
00.5×2×3×3.6×
Aihua Li · 1×
Citations per year

Countries citing papers authored by Mo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mo Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mo Yu Line = papers co-authored together Mo Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit
Hit paper breakdown →
2021237
2 2018181
3
Dilated Recurrent Neural Networks
201772
4 202248
5 202238
6 202134
7 202023
8 202223
9 202422
10 201816
11 202414
12 202512
13 20239
14 20238
15 20238
16 20247
17 20247
18 20247
19 20225
20 20245

About Mo Yu

Mo Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Animal Science and Zoology, Media Technology and Automotive Engineering, having authored 36 papers that have together received 810 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers), Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (5 papers), Fault Detection and Control Systems (3 papers), Multimodal Machine Learning Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Media Technology (131 citations), Medical Laboratory Technology (18 citations), Computer Vision and Pattern Recognition (265 citations), Control and Systems Engineering (196 citations) and Safety, Risk, Reliability and Quality (52 citations). Mo Yu has collaborated with scholars based in China, United States and France. Frequent co-authors include Biqing Huang, Xiu Li, Qianhui Wu, Michael Witbrock, Thomas S. Huang, Wei Han, Shiyu Chang, Ding Liu, Liang Li and Jungang Yang. Their work appears in journals such as Poultry Science, Journal of Intelligent Manufacturing, IEEE Access, Advanced Engineering Informatics and Frontiers in Psychiatry.

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.

Explore authors with similar magnitude of impact