Sha Lu

562 citations
19 papers · 386 · h-index 9

Impact in

Papers in

Sha Lu

18 papers receiving 363 citations

Peers

Sha Lu
Comparison fields: 5 of 46
  • Hardware and Architecture 157
  • Numerical Analysis 85
  • Electrical and Electronic Engineering 244
  • Computational Theory and Mathematics 57
  • Computational Mathematics 2
Replace W. Nye with:
W. Nye United States
Jianzhong Tong United States
Xiaofan Wu United States
Sri R. Kolla United States
Bogdan Marinescu France
Maolin Yang China
Johann Bals Germany
Petros Kapasouris United States
J.-F. Magni France
M. Sloderbeck United States
Sha Lu relative to W. Nye United States W. Nye's profile →
Citations per field
00.5×10×15×20×24.5×
W. Nye · 1×
Citations per year

Countries citing papers authored by Sha Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sha Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201597
2 201583
3 198540
4 201435
5 201130
6 201323
7 201123
8 201017
9 201016
10 20136
11 20205
12 20113
13 20102
14 20132
15
Nonmontone adptive cubic overestimation methods for unconstrained optimization
20091
16 20181
17 20241
18 20211
19 20250

About Sha Lu

Sha Lu is a scholar working on Numerical Analysis, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computational Mechanics and Hardware and Architecture, having authored 19 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (8 papers), Iterative Methods for Nonlinear Equations (6 papers), VLSI and FPGA Design Techniques (5 papers), Matrix Theory and Algorithms (4 papers), Advancements in Photolithography Techniques (4 papers), 3D IC and TSV technologies (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and VLSI and Analog Circuit Testing (3 papers). The work is most often cited by research in Hardware and Architecture (157 citations), Numerical Analysis (85 citations), Electrical and Electronic Engineering (244 citations), Computational Theory and Mathematics (57 citations) and Computational Mathematics (2 citations). Sha Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zengxin Wei, Chung‐Kuan Cheng, Chin-Chih Chang, Jingwei Lu, Dennis J.-H. Huang, Chin-Chi Teng, Pengwen Chen, Gonglin Yuan, R.W. Dutton and Hongliang Chang. Their work appears in journals such as Geotechnical and Geological Engineering, Journal of Inequalities and Applications, Mathematical and Computer Modelling, Computational Optimization and Applications and Lasers in Medical Science.

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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