Ruichen Jin

15 papers receiving 2.9k citations

Ruichen Jin's Hit Papers

Comparative studies of metamodelling techniques under multiple modelling criteria 2001 · 1.4k citations
1.4k0+8+16Years since publication4008001.2k

Peers

Ruichen Jin
Comparison fields: 5 of 90
  • Statistics, Probability and Uncertainty 778
  • Computational Theory and Mathematics 1.2k
  • Management Science and Operations Research 454
  • Artificial Intelligence 416
  • Civil and Structural Engineering 249
Replace Patrick N. Koch with:
Patrick N. Koch United States
G. Gary Wang Canada
Anthony Giunta United States
Felipe Antonio Chegury Viana United States
Tushar Goel United States
John E. Renaud United States
Vladimir O. Balabanov United States
Shuguang Shan Canada
Rodolphe Le Riche France
Haitao Liu China
Ruichen Jin relative to Patrick N. Koch United States Patrick N. Koch's profile →
Citations per field
00.5×1.5×
Patrick N. Koch · 1×
Citations per year

Countries citing papers authored by Ruichen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ruichen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Ruichen Jin, 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 Ruichen Jin Line = papers co-authored together Ruichen Jin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Comparative studies of metamodelling techniques under multiple modelling criteria
Hit paper breakdown →
20011406
2 2004536
3 2002291
4 2003264
5 2000193
6 2004183
7 200357
8 200426
9 200624
10 200410
11 20047
12 20016
13 20051
14 20171
15 20171

About Ruichen Jin

Ruichen Jin is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Management Science and Operations Research, Mechanics of Materials and Mechanical Engineering, having authored 15 papers that have together received 3k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Optimal Experimental Design Methods (2 papers), Fatigue and fracture mechanics (2 papers) and Mechanical Failure Analysis and Simulation (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (778 citations), Computational Theory and Mathematics (1.2k citations), Management Science and Operations Research (454 citations), Artificial Intelligence (416 citations) and Civil and Structural Engineering (249 citations). Ruichen Jin has collaborated with scholars based in United States and Philippines. Frequent co-authors include Timothy W. Simpson, Wei Chen, Agus Sudjianto, Xiaoping Du, Wei Chen, Yan Fu and Xingfu Chen. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Structural and Multidisciplinary Optimization, Journal of Mechanical Design, Journal of Quality Technology and Journal of Statistical Planning and Inference.

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