Ruichen Jin

21 papers receiving 2.9k citations

Ruichen Jin's Hit Papers

An efficient algorithm for constructing optimal design of computer experiments 2004 · 519 citations
5190+8+16Years since publication4008001.2k

Peers

Ruichen Jin
Comparison fields: 5 of 118
  • Statistics, Probability and Uncertainty 1.3k
  • Computational Theory and Mathematics 1.7k
  • Management Science and Operations Research 847
  • Industrial and Manufacturing Engineering 288
  • Civil and Structural Engineering 587
Replace Patrick Koch with:
Patrick Koch United States
Tushar Goel United States
Felipe Viana United States
Zhen Hu United States
Rajkumar Vaidyanathan United States
Jacob Søndergaard Canada
Zhonghua Han China
Zeng Meng China
Gerhard Venter South Africa
S. Shan China
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Citations per field
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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 9 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

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparative studies of metamodelling techniques under multiple modelling criteria
Hit paper breakdown →
20011406
2
An efficient algorithm for constructing optimal design of computer experiments
Hit paper breakdown →
2004519
3 2002295
4 2003271
5 2000194
6 2004178
7 200353
8 200428
9 200624
10 201518
11
Enhancements of metamodeling techniques in engineering design.
200413
12 200410
13 20047
14 20016
15 20125
16 20152
17 20171
18 20191
19 20161
20 20221

About Ruichen Jin

Ruichen Jin is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Management Science and Operations Research, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 23 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (10 papers), Optimal Experimental Design Methods (8 papers), Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (3 papers), Engineering Diagnostics and Reliability (2 papers), Fatigue and fracture mechanics (2 papers) and Mechanical Failure Analysis and Simulation (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Computational Theory and Mathematics (1.7k citations), Management Science and Operations Research (847 citations), Industrial and Manufacturing Engineering (288 citations) and Civil and Structural Engineering (587 citations). Ruichen Jin has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Timothy W. Simpson, Wei Chen, Agus Sudjianto, Xiaoping Du, Wei Chen, Jongweon Kim, Yan Fu, Xingfu Chen and M. Herr. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Structural and Multidisciplinary Optimization, Multimedia Tools and Applications, 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.

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