Yongbiao Chen

414 citations
20 papers · 266 · h-index 9

Impact in

Papers in

Yongbiao Chen

19 papers receiving 263 citations

Peers

Yongbiao Chen
Comparison fields: 5 of 40
  • Cognitive Neuroscience 67
  • Hardware and Architecture 21
  • Electrical and Electronic Engineering 147
  • Artificial Intelligence 79
  • Computer Vision and Pattern Recognition 42
Replace Yasmin Halawani with:
Yasmin Halawani United Arab Emirates
Martino Dazzi Switzerland
Yukun Ding United States
Jaehyun Kim South Korea
Cory Merkel United States
Vítor Grade Tavares Portugal
Kohji Hosokawa Japan
S. S. Teja Nibhanupudi United States
S. Bianchi Italy
Yongbiao Chen relative to Yasmin Halawani United Arab Emirates Yasmin Halawani's profile →
Citations per field
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Yasmin Halawani · 1×
Citations per year

Countries citing papers authored by Yongbiao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yongbiao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202062
2 202141
3 202235
4 202120
5 202215
6 202212
7 202310
8 20239
9 20228
10 20228
11 20217
12 20227
13 20246
14 20226
15 20226
16 20205
17 20214
18 20233
19 20222
20
Performance Factors of Clock Synchronization in IEEE 1588 Protocol and Analysis of Timestamp Generation
20090

About Yongbiao Chen

Yongbiao Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering, having authored 20 papers that have together received 266 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural dynamics and brain function (5 papers), Video Surveillance and Tracking Methods (4 papers), Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Gait Recognition and Analysis (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Cognitive Neuroscience (67 citations), Hardware and Architecture (21 citations), Electrical and Electronic Engineering (147 citations), Artificial Intelligence (79 citations) and Computer Vision and Pattern Recognition (42 citations). Yongbiao Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fangxin Liu, Zongwu Wang, Wenbo Zhao, Li Jiang, Zhezhi He, Haili Gao, Shilin Cao, Lei Chen, Xiaofeng Pan and Qinhua Wang. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Intelligent Transportation Systems, Journal of Systems Architecture, IEEE Transactions on Computers and Composites Part B Engineering.

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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