Yalan Ye

792 citations
73 papers · 591 · h-index 12

Impact in

Papers in

Yalan Ye

63 papers receiving 568 citations

Peers

Yalan Ye
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 166
  • Signal Processing 64
  • Artificial Intelligence 177
  • Cognitive Neuroscience 90
  • Biomedical Engineering 195
Replace Jinsul Kim with:
Jinsul Kim South Korea
Aleksandra Rashkovska Slovenia
Satria Mandala Indonesia
K. Vasanth India
Turke Althobaiti Saudi Arabia
Deepu John Ireland
Jérôme Boudy France
Usman Akram Pakistan
Shuren Zhou China
Luis Parrilla Spain
Yalan Ye relative to Jinsul Kim South Korea Jinsul Kim's profile →
Citations per field
00.5×4.5×
Jinsul Kim · 1×
Citations per year

Countries citing papers authored by Yalan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yalan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201683
2 202049
3 201944
4 201734
5 202130
6 202028
7 200823
8 202020
9 201815
10 202115
11 201915
12 202315
13 201211
14 202210
15 202210
16 202010
17 202110
18 202110
19 202410
20 20069

About Yalan Ye

Yalan Ye is a scholar working on Signal Processing, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Computer Networks and Communications, having authored 73 papers that have together received 591 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), ECG Monitoring and Analysis (14 papers), Blind Source Separation Techniques (12 papers), Emotion and Mood Recognition (8 papers), Non-Invasive Vital Sign Monitoring (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Heart Rate Variability and Autonomic Control (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (166 citations), Signal Processing (64 citations), Artificial Intelligence (177 citations), Cognitive Neuroscience (90 citations) and Biomedical Engineering (195 citations). Yalan Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhilin Zhang, Fagen Li, Mengshu Hou, Jingjing Li, Heng Tao Shen, Ikram Ali, Li Lu, Yunxia Li, Ziqing Wang and Xiaoguang Liu. Their work appears in journals such as Energy Reports, Computer Methods and Programs in Biomedicine, Journal of Systems Architecture, IEEE Transactions on Multimedia and IEEE Internet of Things Journal.

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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