Liangjin Yao

434 citations
21 papers · 119 indexed · h-index 7
Topics
Optimization and Variational Analysis (19 papers)Advanced Optimization Algorithms Research (8 papers)Mathematical Inequalities and Applications (8 papers)
Partner nations
CanadaAustraliaChina

In The Last Decade

Liangjin Yao

21 papers receiving 114 citations

Peers

Liangjin Yao
Comparison fields: 5 of 29
  • Computational Theory and Mathematics 109
  • Numerical Analysis 60
  • Mathematical Physics 38
  • Geometry and Topology 37
  • Applied Mathematics 35
Replace C. L. E. Moore with:
C. L. E. Moore Nigeria
Ritva Hurri-Syrjänen Finland
О. В. Бесов Russia
Ákos Magyar United States
W. Guan China
Ekkehard Krätzel Austria
Jonas Azzam United States
Oliver Roche‐Newton Austria
Sylvie Guerre-Delabrière France
Khalil El Mehdi Mauritania
Liangjin Yao relative to C. L. E. Moore Nigeria C. L. E. Moore's profile →
Citations per field
00.5×
C. L. E. Moore · 1×
Citations per year

Countries citing papers authored by Liangjin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Liangjin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangjin Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Liangjin Yao. A scholar is included among the top collaborators of Liangjin Yao 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 Liangjin Yao. Liangjin Yao 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 3
2 2
3 2
4 30
5 1
6 7
7 1
8 5
9 2
10 5
11 4
12 3
13 5
14 5
15 6
16 6
17 6
18 11
19 5
20 1

About Liangjin Yao

Liangjin Yao is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Horticulture, having authored 21 papers that have together received 119 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (19 papers), Advanced Optimization Algorithms Research (8 papers) and Mathematical Inequalities and Applications (8 papers). The work is most often cited by research in Numerical Analysis (60 citations), Computational Theory and Mathematics (109 citations) and Geometry and Topology (37 citations). Liangjin Yao has collaborated with scholars based in Canada, Australia and China. Frequent co-authors include Jonathan M. Borwein, Heinz H. Bauschke, Xianfu Wang, Guoyin Li, Victoria Martín-Márquez, Francisco J. Aragón Artacho, Shuanglin Chen, Anthony To‐Ming Lau, Youqing Meng and Liangying Dai. Their work appears in journals such as Frontiers in Plant Science, Journal of Mathematical Analysis and Applications and Mathematical Programming.

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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