Dan Yu

405 citations
30 papers · 293 · h-index 9

Impact in

Papers in

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
  • Transportation 13
  • Control and Systems Engineering 39
Replace Vafa Maihami with:
Vafa Maihami Iran
Zhongjiu Zheng China
Fuguang Ding China
Maan El Badaoui El Najjar France
Joongseon Joh South Korea
Dianrui Wang China
Guiqiang Bai China
Gianluca Frison Germany
Zaopeng Dong China
Dan Yu relative to Vafa Maihami Iran Vafa Maihami's profile →
Citations per field
00.5×4.8×
Vafa Maihami · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dan 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 Dan Yu Line = papers co-authored together Dan Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 201946
3 202145
4 200822
5 200218
6 202214
7 202311
8 201911
9
Automatic identification and recording of cardiac arrhythmia
20009
10 20226
11 20206
12 20245
13 20234
14 20244
15 20204
16 20204
17
Surrogate test for pseudoperiodic time series - art. no. 188101
20013
18 20143
19 20033
20 20232

About Dan Yu

Dan Yu is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Computer Networks and Communications, having authored 30 papers that have together received 293 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Underwater Vehicles and Communication Systems (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Maritime Navigation and Safety (5 papers), ECG Monitoring and Analysis (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Wave and Wind Energy Systems (3 papers) and Fluid Dynamics and Vibration Analysis (3 papers). The work is most often cited by research in Ocean Engineering (113 citations), Computer Vision and Pattern Recognition (107 citations), Aerospace Engineering (52 citations), Transportation (13 citations) and Control and Systems Engineering (39 citations). Dan Yu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Hongjian Wang, Honghan Zhang, Michael Small, Jennifer Simonotto, Keith A.A. Fox, Keyi Wang, Robert G. Harrison, Xiaoquan Liu, Yanguang Cao and Yuancheng Chen. Their work appears in journals such as Ocean Engineering, Analytical and Bioanalytical Chemistry, Alexandria Engineering Journal, Journal of Coastal Research and Nano Energy.

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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