Biao Qu

1.2k citations
52 papers · 875 · h-index 15

Impact in

Papers in

Biao Qu

48 papers receiving 818 citations

Peers

Biao Qu
Comparison fields: 5 of 86
  • Numerical Analysis 400
  • Computational Theory and Mathematics 443
  • Geometry and Topology 139
  • Computational Mathematics 7
  • Atomic and Molecular Physics, and Optics 191
Replace Jorge Delgado with:
Jorge Delgado Spain
Elias Jarlebring Belgium
Ivan Slapničar Croatia
Tetsuro Yamamoto Japan
Wen-Wei Lin Taiwan
Nir Cohen Israel
Dragan S. Djordjević Serbia
Fanwei Meng China
Alvaro R. De Pierro Brazil
Sergey Korotov Finland
Biao Qu relative to Jorge Delgado Spain Jorge Delgado's profile →
Citations per field
00.5×5.8×
Jorge Delgado · 1×
Citations per year

Countries citing papers authored by Biao Qu

Since Specialization
Citations

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

Fields of papers citing papers by Biao Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005229
2 2009111
3 201373
4 200748
5 201241
6 200839
7 202229
8 201425
9 201423
10 201422
11 201521
12 201421
13 201518
14 201417
15 201417
16 200312
17 20169
18 20149
19 20159
20 20188

About Biao Qu

Biao Qu is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Numerical Analysis, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 52 papers that have together received 875 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (16 papers), Advanced Optimization Algorithms Research (15 papers), Solid State Laser Technologies (13 papers), Advanced Fiber Laser Technologies (12 papers), Photorefractive and Nonlinear Optics (8 papers), Sparse and Compressive Sensing Techniques (8 papers), Advanced MRI Techniques and Applications (5 papers) and Photonic Crystal and Fiber Optics (3 papers). The work is most often cited by research in Numerical Analysis (400 citations), Computational Theory and Mathematics (443 citations), Geometry and Topology (139 citations), Computational Mathematics (7 citations) and Atomic and Molecular Physics, and Optics (191 citations). Biao Qu has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Naihua Xiu, Guanglu Zhou, Louis Caccetta, Huiying Xu, Bin Xu, Xiaoyan Wang, Yanzhu Zhang, Jianzhong Zhang, Patrice Camy and R. Moncorgé. Their work appears in journals such as Computational Optimization and Applications, Optics Express, Journal of Global Optimization, Numerical Functional Analysis and Optimization and Applied Optics.

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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