Bing Yi

53 papers receiving 511 citations

Peers

Bing Yi
Comparison fields: 5 of 62
  • Civil and Structural Engineering 269
  • Industrial and Manufacturing Engineering 68
  • Mechanics of Materials 168
  • Mechanical Engineering 173
  • Computational Theory and Mathematics 64
Replace Tomás Zegard with:
Tomás Zegard United States
Seth Watts United States
Yifei Li China
Yixian Du China
Jun Hong China
Zhongmin Deng China
Daicong Da China
Georgios Michailidis France
Xuefeng Zhu China
Jörg F. Unger Germany
Bing Yi relative to Tomás Zegard United States Tomás Zegard's profile →
Citations per field
00.5×1.6×
Tomás Zegard · 1×
Citations per year

Countries citing papers authored by Bing Yi

Since Specialization
Citations

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

Fields of papers citing papers by Bing Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 201939
3 202030
4 202329
5 202026
6 201723
7 202020
8 201820
9 201719
10 202218
11 201917
12 201417
13 202216
14 202115
15 202014
16 202113
17 201912
18 202411
19 202010
20 202110

About Bing Yi

Bing Yi is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 61 papers that have together received 526 indexed citations. Recurring topics across this work include Composite Structure Analysis and Optimization (16 papers), Topology Optimization in Engineering (16 papers), Advanced Numerical Analysis Techniques (11 papers), Manufacturing Process and Optimization (9 papers), 3D Shape Modeling and Analysis (8 papers), Railway Engineering and Dynamics (7 papers), Acoustic Wave Phenomena Research (7 papers) and Metallurgical Processes and Thermodynamics (7 papers). The work is most often cited by research in Civil and Structural Engineering (269 citations), Industrial and Manufacturing Engineering (68 citations), Mechanics of Materials (168 citations), Mechanical Engineering (173 citations) and Computational Theory and Mathematics (64 citations). Bing Yi has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Gil Ho Yoon, Yueting Yang, Xiang Peng, Kazuhiro Saitou, Gil Ho Yoon, Yuqing Zhou, Long Liu, Xiongbing Li, Wenlong Liu and Ran Zheng. Their work appears in journals such as Applied Sciences, Journal of Computing and Information Science in Engineering, Smart Materials and Structures, The International Journal of Advanced Manufacturing Technology and Engineering Optimization.

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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