Zhangyong Li

861 citations
72 papers · 573 indexed · h-index 14
Topics
EEG and Brain-Computer Interfaces (8 papers)Ultrasound and Hyperthermia Applications (7 papers)Electrical and Bioimpedance Tomography (7 papers)

In The Last Decade

Zhangyong Li

65 papers receiving 551 citations

Peers

Zhangyong Li
Comparison fields: 5 of 125
  • Biomedical Engineering 228
  • Materials Chemistry 123
  • Electrical and Electronic Engineering 79
  • Cognitive Neuroscience 77
  • Computer Vision and Pattern Recognition 74
Replace Bhavesh Patel with:
Bhavesh Patel United States
Mustafa Zahid Yıldız Türkiye
Marta Borowska Poland
Zygmunt Wróbel Poland
Duck-Hwan Kim South Korea
Shoji Tominaga Japan
Huang‐Nan Huang Taiwan
Haibo Jiang China
B. Woodward United Kingdom
Jianjia Zhang China
Zhangyong Li relative to Bhavesh Patel United States Bhavesh Patel's profile →
Citations per field
00.5×5.9×
Bhavesh Patel · 1×
Citations per year

Countries citing papers authored by Zhangyong Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhangyong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangyong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangyong Li. A scholar is included among the top collaborators of Zhangyong Li 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 Zhangyong Li. Zhangyong Li 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
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 3
6 2
7 9
8 3
9 18
10 11
11 40
12 7
13 2
14 31
15 40
16 5
17 10
18 1
19
The Development of ECG Telemonitoring System
0
20
Study of allelic specific primer polymerase chain reaction technique and its application
0

About Zhangyong Li

Zhangyong Li is a scholar working on Cognitive Neuroscience, Gastroenterology and General Decision Sciences, having authored 72 papers that have together received 573 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Ultrasound and Hyperthermia Applications (7 papers) and Electrical and Bioimpedance Tomography (7 papers). The work is most often cited by research in Biomedical Engineering (228 citations), Gastroenterology (25 citations) and Cognitive Neuroscience (77 citations). Zhangyong Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dui Qin, Shuang Lei, Jinzhao Lin, Yu Pang, Xinwei Li, Wei Wang, Yu Pang, Xi Li, Xiaojuan Ji and Guoquan Li. Their work appears in journals such as PLoS ONE, Scientific Reports and 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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