Can Ye

69 papers receiving 2.3k citations

Can Ye's Hit Papers

Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals 2012 · 397 citations
3970+4+9Years since publication100200300

Peers

Can Ye
Comparison fields: 5 of 141
  • Atmospheric Science 974
  • Health, Toxicology and Mutagenesis 630
  • Cardiology and Cardiovascular Medicine 629
  • Cognitive Neuroscience 528
  • Environmental Engineering 364
Replace Yan Zhuang with:
Yan Zhuang China
Yuan Zhou China
Qiang Li United States
Hui Zhou China
Jiayi Li China
Jan Theunis Belgium
Yübo Wang China
Yueqing Li China
Zhi Zhang China
Jiatong Liu China
Can Ye relative to Yan Zhuang China Yan Zhuang's profile →
Citations per field
00.5×10×15×22.5×
Yan Zhuang · 1×
Citations per year

Countries citing papers authored by Can Ye

Since Specialization
Citations

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

Fields of papers citing papers by Can Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals
Hit paper breakdown →
2012397
2 2020147
3 2015132
4 2020121
5 2010116
6 2023108
7 2018104
8 201084
9 201782
10 201558
11 202157
12 202256
13 201855
14 201654
15 201848
16 202242
17 201838
18 202235
19 201634
20 202030

About Can Ye

Can Ye is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Cardiology and Cardiovascular Medicine, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (32 papers), Air Quality and Health Impacts (24 papers), Atmospheric Ozone and Climate (16 papers), Air Quality Monitoring and Forecasting (12 papers), ECG Monitoring and Analysis (8 papers), EEG and Brain-Computer Interfaces (6 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Atmospheric Science (974 citations), Health, Toxicology and Mutagenesis (630 citations), Cardiology and Cardiovascular Medicine (629 citations), Cognitive Neuroscience (528 citations) and Environmental Engineering (364 citations). Can Ye has collaborated with scholars based in China, Germany and United States. Frequent co-authors include B. V. K. Vijaya Kumar, Miguel Coimbra, Yujing Mu, Chaoyang Xue, Pengfei Liu, Chenglong Zhang, Yuanyuan Zhang, Hanchuan Li, Alanson P. Sample and Junfeng Liu. Their work appears in journals such as Atmospheric chemistry and physics, The Science of The Total Environment, Environmental Science & Technology, Journal of Environmental Sciences and Organic & Biomolecular Chemistry.

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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