Dan Yu

405 total citations
30 papers, 293 citations indexed

About

Dan Yu is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dan Yu has authored 30 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ocean Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dan Yu's work include Robotic Path Planning Algorithms (7 papers), Underwater Vehicles and Communication Systems (6 papers) and ECG Monitoring and Analysis (5 papers). Dan Yu is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Underwater Vehicles and Communication Systems (6 papers) and ECG Monitoring and Analysis (5 papers). Dan Yu collaborates with scholars based in China, United Kingdom and Australia. Dan Yu's co-authors include Hongjian Wang, Honghan Zhang, Michael Small, Keith A.A. Fox, Jennifer Simonotto, Keyi Wang, Robert G. Harrison, Yuancheng Chen, Xiaoquan Liu and Ming Zhang and has published in prestigious journals such as Physical Review Letters, Nano Energy and IEEE Access.

In The Last Decade

Dan Yu

27 papers receiving 284 citations

Peers

Dan Yu
Comparison fields: 5 of 74
  • Ocean Engineering 113
  • Computer Vision and Pattern Recognition 107
  • Aerospace Engineering 52
  • Artificial Intelligence 42
  • Control and Systems Engineering 39
Replace A. Sampath Dakshina Murthy with:
A. Sampath Dakshina Murthy India
Vafa Maihami Iran
Guiqiang Bai China
Alessandro Benini Italy
Jiansheng Peng China
Yong Dai China
Sambhunath Nandy India
Xiangmao Chang China
Shihab Jimaa United Arab Emirates
Вячеслав Хасанович Пшихопов Russia
A. Sampath Dakshina Murthy India View profile →
Citations per field, relative to Dan Yu
Dan Yu · 1×
Citations per year, relative to Dan Yu
Dan Yu · 1×

Countries citing papers authored by Dan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Yu. A scholar is included among the top collaborators of Dan Yu 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 Dan Yu. Dan Yu 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 5
3 4
4 4
5 2
6 2
7 11
8 6
9 1
10 45
11 4
12 62
13 46
14 11
15 22
16 2
17 18
18 0
19
Surrogate test for pseudoperiodic time series - art. no. 188101
3
20
Automatic identification and recording of cardiac arrhythmia
9

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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