Bowen Yang

33 papers receiving 284 citations

Peers

Bowen Yang
Comparison fields: 5 of 86
  • Biomaterials 37
  • Water Science and Technology 38
  • Computer Vision and Pattern Recognition 45
  • Polymers and Plastics 25
  • Biomedical Engineering 75
Replace Yuhang Lu with:
Yuhang Lu China
Yuanpei Liu China
Dae Hwan Kim South Korea
Zeshen Li China
Shigeki Toyama Japan
Wenyan Guo China
Hana Charvátová Czechia
Sittiporn Channumsin Thailand
Bowen Yang relative to Yuhang Lu China Yuhang Lu's profile →
Citations per field
00.5×2.8×
Yuhang Lu · 1×
Citations per year

Countries citing papers authored by Bowen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bowen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202376
2 201636
3 202225
4 201718
5 201617
6 202211
7 202310
8 202210
9 20179
10 20199
11
Summary on improved inertia weight strategies for particle swarm optimization algorithm
20198
12 20237
13 20207
14 20226
15 20235
16 20244
17 20254
18 20234
19 20223
20 20243

About Bowen Yang

Bowen Yang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 35 papers that have together received 289 indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (3 papers), Robotics and Sensor-Based Localization (3 papers), Machine Fault Diagnosis Techniques (2 papers), Tunneling and Rock Mechanics (2 papers), Topic Modeling (2 papers), Advancements in Battery Materials (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Wireless Power Transfer Systems (2 papers). The work is most often cited by research in Biomaterials (37 citations), Water Science and Technology (38 citations), Computer Vision and Pattern Recognition (45 citations), Polymers and Plastics (25 citations) and Biomedical Engineering (75 citations). Bowen Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jin Wang, Yamei Lin, Zhong Chen, Abdulmotaleb El Saddik, Qiang Zhang, Haiwei Dong, Yajie Xie, Lina Yue, Shumin Liu and Cong Han. Their work appears in journals such as Smart Materials and Structures, Applied Sciences, IEEE Sensors Journal, Annals of Nuclear Energy and Journal of Intelligent Material Systems and Structures.

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.

Explore authors with similar magnitude of impact