Bo Yang

5.4k citations
175 papers · 4.0k · 2 hit papers · h-index 39

Impact in

Papers in

Bo Yang

160 papers receiving 3.9k citations

Bo Yang's Hit Papers

Soft Tissue Feature Tracking Based on Deep Matching Network 2023 · 87 citations
870+1+2Years since publication255075100

Peers

Bo Yang
Comparison fields: 5 of 184
  • Computer Vision and Pattern Recognition 749
  • Artificial Intelligence 1.2k
  • Media Technology 252
  • Modeling and Simulation 116
  • Environmental Engineering 271
Replace Mingzhe Liu with:
Mingzhe Liu China
Shan Liu China
Lirong Yin China
Jian Wang China
Xuehua Zhao China
Mohammed A. A. Al‐qaness China
Valentina Emilia Bălaş Romania
Zhennao Cai China
Shahab S. Band Taiwan
Kaamran Raahemifar Canada
Bo Yang relative to Mingzhe Liu China Mingzhe Liu's profile →
Citations per field
00.5×3.1×
Mingzhe Liu · 1×
Citations per year

Countries citing papers authored by Bo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021158
2 2022141
3 2021131
4 2022121
5 2022117
6 2022107
7
Control of Time Delay Force Feedback Teleoperation System With Finite Time Convergence
Hit paper breakdown →
2022103
8 2021100
9 202195
10 202292
11 202291
12 202290
13
Soft Tissue Feature Tracking Based on Deep Matching Network
Hit paper breakdown →
202387
14 202285
15 202184
16 202284
17 202383
18 202278
19 201576
20 201075

About Bo Yang

Bo Yang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Media Technology and Control and Systems Engineering, having authored 175 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Technologies in Various Fields (18 papers), Advanced Vision and Imaging (12 papers), Medical Image Segmentation Techniques (11 papers), Surgical Simulation and Training (9 papers), Advanced optical system design (9 papers), 3D Shape Modeling and Analysis (9 papers), Advanced Image Fusion Techniques (9 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (749 citations), Artificial Intelligence (1.2k citations), Media Technology (252 citations), Modeling and Simulation (116 citations) and Environmental Engineering (271 citations). Bo Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Wenfeng Zheng, Lirong Yin, Shan Liu, Mingzhe Liu, Jiawei Tian, Zhengtong Yin, Chao Liu, Siyu Lu, Wei Dang and Zhongliang Jing. Their work appears in journals such as Applied Sciences, Electronics, Atmosphere, Biomedical Signal Processing and Control and Applied Optics.

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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