R. J. Yang

79 papers receiving 3.1k citations

Peers

R. J. Yang
Comparison fields: 5 of 104
  • Statistics, Probability and Uncertainty 1.2k
  • Computational Theory and Mathematics 1.4k
  • Civil and Structural Engineering 1.5k
  • Mechanics of Materials 1.0k
  • Management Science and Operations Research 488
Replace Gyung-Jin Park with:
Gyung-Jin Park South Korea
Ikjin Lee South Korea
G. Gary Wang Canada
Michel van Tooren Netherlands
David Moens Belgium
Qi Zhou China
Sujin Bureerat Thailand
Gengdong Cheng China
Dequan Zhang China
Hongbing Fang United States
R. J. Yang relative to Gyung-Jin Park South Korea Gyung-Jin Park's profile →
Citations per field
00.5×1.5×1.9×
Gyung-Jin Park · 1×
Citations per year

Countries citing papers authored by R. J. Yang

Since Specialization
Citations

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

Fields of papers citing papers by R. J. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004328
2 1996310
3 2004297
4 2001217
5 1994196
6 2004190
7 2004154
8 2001153
9 2005140
10 1995121
11 201087
12 198886
13 200468
14 200765
15 201259
16 198954
17 198654
18 200049
19 199741
20 198337

About R. J. Yang

R. J. Yang is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Mechanical Engineering, having authored 81 papers that have together received 3.4k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (30 papers), Topology Optimization in Engineering (23 papers), Composite Structure Analysis and Optimization (18 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Optimal Experimental Design Methods (11 papers), Automotive and Human Injury Biomechanics (8 papers), Transportation Safety and Impact Analysis (8 papers) and Mechanical Engineering and Vibrations Research (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.2k citations), Computational Theory and Mathematics (1.4k citations), Civil and Structural Engineering (1.5k citations), Mechanics of Materials (1.0k citations) and Management Science and Operations Research (488 citations). R. J. Yang has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include L. Gu, Linxia Gu, Ching‐Hung Chuang, Patrick Koch, Cheng-Ho Tho, Kyung K. Choi, Byeng D. Youn, M. R. Barone, M. E. Botkin and Dipankar Ghosh. Their work appears in journals such as Structural and Multidisciplinary Optimization, SAE technical papers on CD-ROM/SAE technical paper series, AIAA Journal, Computers & Structures and International Journal of Vehicle Design.

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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