Biao Chen

1.5k citations
45 papers · 1.1k indexed · 1 hit paper · h-index 13

Impact in

Papers in

Biao Chen

40 papers receiving 1.0k citations

Hit Papers

Fault diagnosis for small samples based on attention mechanism 2021 · 180 citations
180202120262022202450100150

Peers

Biao Chen
Comparison fields: 5 of 73
  • Computer Networks and Communications 650
  • Artificial Intelligence 446
  • Control and Systems Engineering 300
  • Electrical and Electronic Engineering 396
  • Signal Processing 68
Replace Jing Hu with:
Jing Hu China
Jesús Alberto Meda-Campaña Mexico
Di Liu China
Peyman Setoodeh Iran
Marco Baglietto Italy
Yigang He China
Jarmo Lundén Finland
Zsófia Lendek Romania
Ju-Jang Lee South Korea
Biao Chen relative to Jing Hu China Jing Hu's profile →
Citations per field
00.5×2.8×
Jing Hu · 1×
Citations per year

Countries citing papers authored by Biao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Biao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20245
3 20239
4 20230
5 20224
6 202241
7 20201
8 20191
9 20196
10 20111
11 200633
12 20051
13 20057
14
Radar Signal Detection Based on Bayesian Hierarchical Models and Image Analysis Techniques
20041
15 20033
16 200325
17 20038
18 20022
19 20021
20 200112

About Biao Chen

Biao Chen is a scholar working on Statistics, Probability and Uncertainty, Computer Networks and Communications, Industrial and Manufacturing Engineering, Business and International Management and Control and Systems Engineering, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (9 papers), Distributed Sensor Networks and Detection Algorithms (9 papers), Fault Detection and Control Systems (8 papers), Industrial Vision Systems and Defect Detection (6 papers), Wireless Communication Security Techniques (5 papers), Advanced Statistical Process Monitoring (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Engineering Diagnostics and Reliability (3 papers). The work is most often cited by research in Computer Networks and Communications (650 citations), Artificial Intelligence (446 citations), Control and Systems Engineering (300 citations), Electrical and Electronic Engineering (396 citations) and Signal Processing (68 citations). Biao Chen has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Pramod K. Varshney, Ruixin Niu, Ruixiang Jiang, Ying Lin, Li Zhang, Chao He, Yanping Lu, Xin Zhang, J.H. Michels and Peter Willett. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Measurement, IEEE Transactions on Wireless Communications, IEEE Transactions on Signal Processing and Artificial Organs.

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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