Biao Yang

2.0k citations
100 papers · 1.3k · h-index 21

Impact in

Papers in

Biao Yang

90 papers receiving 1.2k citations

Peers

Biao Yang
Comparison fields: 5 of 120
  • Automotive Engineering 288
  • Computer Vision and Pattern Recognition 483
  • Safety, Risk, Reliability and Quality 129
  • Experimental and Cognitive Psychology 156
  • Building and Construction 170
Replace Yan Qin with:
Yan Qin China
Usman Ullah Sheikh Malaysia
Ardhendu Behera United Kingdom
Linhui Li China
Santos Kumar Das India
Ying Cai China
Li Zhao China
Feng Zhou China
Hongguang Pan China
Biao Yang relative to Yan Qin China Yan Qin's profile →
Citations per field
00.5×1.5×2.3×
Yan Qin · 1×
Citations per year

Countries citing papers authored by Biao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Biao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017140
2 202158
3 202456
4 202256
5 202150
6 201844
7 201841
8
Design considerations for full-scale anaerobic filters
198937
9 202336
10 202233
11 202431
12 202231
13 201827
14 201726
15 201826
16 202224
17 202224
18 202223
19 201622
20 202421

About Biao Yang

Biao Yang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Building and Construction and Environmental Engineering, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (21 papers), Video Surveillance and Tracking Methods (19 papers), Anomaly Detection Techniques and Applications (11 papers), 3D Surveying and Cultural Heritage (8 papers), Traffic Prediction and Management Techniques (8 papers), Emotion and Mood Recognition (7 papers), Advanced Neural Network Applications (6 papers) and Remote Sensing and LiDAR Applications (6 papers). The work is most often cited by research in Automotive Engineering (288 citations), Computer Vision and Pattern Recognition (483 citations), Safety, Risk, Reliability and Quality (129 citations), Experimental and Cognitive Psychology (156 citations) and Building and Construction (170 citations). Biao Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Rongrong Ni, Xiaofeng Liu, Yuyu Zhang, Nan Wang, Jidong Lv, Hongyu Hu, Pin Wang, Ching‐Yao Chan, Liming Xu and James C. Young. Their work appears in journals such as Journal of Central South University, IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Sensors and Computers and Electronics in Agriculture.

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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