Lu Lu

104 papers receiving 940 citations

Peers

Lu Lu
Comparison fields: 5 of 114
  • Statistics, Probability and Uncertainty 270
  • Management Science and Operations Research 304
  • Statistics and Probability 178
  • Computational Theory and Mathematics 225
  • Safety, Risk, Reliability and Quality 124
Replace Xiaoyan Su with:
Xiaoyan Su China
Lev V. Utkin Russia
Yizhong Ma China
Mingyang Li China
Pratyush Sen United Kingdom
Meilin Wen China
Laxminarayan Sahoo India
Igor Kozine Denmark
Sangeeta Pant India
V. Ebrahimipour Iran
Lu Lu relative to Xiaoyan Su China Xiaoyan Su's profile →
Citations per field
00.5×1.5×
Xiaoyan Su · 1×
Citations per year

Countries citing papers authored by Lu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201252
2 202051
3 202240
4 201437
5 201233
6 201431
7 201230
8 201228
9
Zircon U-Pb Dating of Early Paleozoic Granites from the East Kunlun Mountains and Its Geological Significance
201327
10 201227
11 202025
12 201221
13 201720
14 201720
15 201320
16 201619
17 201618
18 201318
19 202017
20 202015

About Lu Lu

Lu Lu is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Statistics and Probability, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality, having authored 116 papers that have together received 956 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (27 papers), Advanced Multi-Objective Optimization Algorithms (26 papers), Probabilistic and Robust Engineering Design (24 papers), Statistical Distribution Estimation and Applications (11 papers), Software Reliability and Analysis Research (11 papers), Reliability and Maintenance Optimization (10 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (270 citations), Management Science and Operations Research (304 citations), Statistics and Probability (178 citations), Computational Theory and Mathematics (225 citations) and Safety, Risk, Reliability and Quality (124 citations). Lu Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Christine M. Anderson‐Cook, Sai K. Vanapalli, Mingyang Li, Yili Hong, Zhi‐Sheng Ye, Bing Xing Wang, Timothy J. Robinson, Yun Dong, Dennis K. J. Lin and Towfiq Ahmed. Their work appears in journals such as Quality Engineering, Quality and Reliability Engineering International, Journal of Quality Technology, Statistical Analysis and Data Mining The ASA Data Science Journal and Applied Stochastic Models in Business and Industry.

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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