Jichao Li

1.6k citations
38 papers · 1.1k indexed · 1 hit paper · h-index 17
Topics
Model Reduction and Neural Networks (14 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)Probabilistic and Robust Engineering Design (8 papers)

In The Last Decade

Jichao Li

38 papers receiving 1.1k citations

Hit Papers

Machine learning in aerodynamic shape optimization2022202620232024202250100150

Peers

Jichao Li
Comparison fields: 5 of 88
  • Computational Mechanics 582
  • Statistical and Nonlinear Physics 469
  • Aerospace Engineering 443
  • Computational Theory and Mathematics 234
  • Statistics, Probability and Uncertainty 199
Replace Arthur C. Taylor with:
Arthur C. Taylor United States
Guru P. Guruswamy United States
Marcus Meyer Germany
E. Andrés Spain
Patrick LeGresley United States
Cosmin Safta United States
Pietro Marco Congedo France
Masahiro Kanazaki Japan
M.‐D. Roselló Spain
Utz Wever Germany
Jichao Li relative to Arthur C. Taylor United States Arthur C. Taylor's profile →
Citations per field
00.5×10×20×30×41.6×
Arthur C. Taylor · 1×
Citations per year

Countries citing papers authored by Jichao Li

Since Specialization
Citations

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

Fields of papers citing papers by Jichao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jichao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jichao Li. A scholar is included among the top collaborators of Jichao Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jichao Li. Jichao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 3
4 2
5
Machine learning in aerodynamic shape optimizationbreakdown →
187
6 11
7 4
8 71
9 1
10 4
11 50
12 114
13 36
14 13
15 3
16 2
17 6
18 34
19
Experimental Investigation of Tip Air Injection Base on Detection Mechanism of Early Stall Warning
1
20 31

About Jichao Li

Jichao Li is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (14 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Probabilistic and Robust Engineering Design (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (469 citations), Computational Mechanics (582 citations) and Statistics, Probability and Uncertainty (199 citations). Jichao Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Joaquim R. R. A. Martins, Mengqi Zhang, Xiaosong Du, Mohamed Amine Bouhlel, Jinsheng Cai, C. Shu, Anıl Yıldırım, Charles A. Mader, Xiaolong He and Sicheng He. Their work appears in journals such as Journal of Fluid Mechanics, The Journal of Organic Chemistry and Renewable Energy.

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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