Bin Yao

31 papers receiving 813 citations

Bin Yao's Hit Papers

ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network 2019 · 419 citations
4190+2+4Years since publication100200300400

Peers

Bin Yao
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 305
  • Cognitive Neuroscience 258
  • Safety, Risk, Reliability and Quality 84
  • Signal Processing 61
  • Control and Systems Engineering 118
Replace Haotian Shi with:
Haotian Shi China
Binqiang Chen China
Wangpeng He China
Cataldo Guaragnella Italy
Mario R. Arrieta Paternina Mexico
Alejandro Zamora‐Mendez Mexico
René Jaroš Czechia
Bahareh Pourbabaee Canada
Mohammadreza Yazdchi Iran
Bin Yao relative to Haotian Shi China Haotian Shi's profile →
Citations per field
00.5×4.9×
Haotian Shi · 1×
Citations per year

Countries citing papers authored by Bin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
Hit paper breakdown →
2019419
2 2017104
3 201142
4 201839
5 202122
6 201719
7 201718
8 201817
9 202016
10 201916
11 202215
12 200414
13 202314
14 201312
15 200412
16 20219
17 20207
18 20057
19 20037
20 20057

About Bin Yao

Bin Yao is a scholar working on Mechanical Engineering, Safety, Risk, Reliability and Quality, Civil and Structural Engineering, Mechanics of Materials and Materials Chemistry, having authored 33 papers that have together received 842 indexed citations. Recurring topics across this work include Fire dynamics and safety research (10 papers), Flame retardant materials and properties (4 papers), Fire Detection and Safety Systems (4 papers), Evacuation and Crowd Dynamics (4 papers), EEG and Brain-Computer Interfaces (4 papers), Combustion and Detonation Processes (4 papers), Advanced Surface Polishing Techniques (3 papers) and Advanced Machining and Optimization Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (305 citations), Cognitive Neuroscience (258 citations), Safety, Risk, Reliability and Quality (84 citations), Signal Processing (61 citations) and Control and Systems Engineering (118 citations). Bin Yao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wangpeng He, Jingshan Huang, Binqiang Chen, Weifang Sun, Binqiang Chen, Xincheng Cao, W. K. Chow, Nianyin Zeng, Jun Qin and Beihua Cong. Their work appears in journals such as Frontiers in Neuroscience, International Journal of Thermal Sciences, Surface and Coatings Technology, Materials and Ceramics International.

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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