Songnian He

968 total citations
75 papers, 722 citations indexed

About

Songnian He is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Geometry and Topology. According to data from OpenAlex, Songnian He has authored 75 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computational Theory and Mathematics, 59 papers in Numerical Analysis and 33 papers in Geometry and Topology. Recurrent topics in Songnian He's work include Optimization and Variational Analysis (62 papers), Advanced Optimization Algorithms Research (58 papers) and Fixed Point Theorems Analysis (33 papers). Songnian He is often cited by papers focused on Optimization and Variational Analysis (62 papers), Advanced Optimization Algorithms Research (58 papers) and Fixed Point Theorems Analysis (33 papers). Songnian He collaborates with scholars based in China, United States and Greece. Songnian He's co-authors include Qiao‐Li Dong, Jing Zhao, Hong‐Kun Xu, So‐Hsiang Chou, Phil Attard, Yonghong Yao, Wenlong Zhu, Michael Th. Rassias, Lulu Liu and Yanyan Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physical Chemistry Chemical Physics.

In The Last Decade

Songnian He

73 papers receiving 704 citations

Peers

Songnian He
Comparison fields: 5 of 63
  • Computational Theory and Mathematics 609
  • Numerical Analysis 468
  • Geometry and Topology 297
  • Computational Mechanics 128
  • Mathematical Physics 113
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Citations per field, relative to Songnian He
Songnian He · 1×
Citations per year, relative to Songnian He
Songnian He · 1×

Countries citing papers authored by Songnian He

Since Specialization
Citations

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

Fields of papers citing papers by Songnian He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songnian He

This figure shows the co-authorship network connecting the top 25 collaborators of Songnian He. A scholar is included among the top collaborators of Songnian He 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 Songnian He. Songnian He 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
# Work Indexed citations
1 4
2 6
3 6
4 4
5 1
6 3
7 13
8 6
9 19
10 4
11 10
12 2
13 12
14 2
15 26
16
Strong Convergence Theorems for Generalized Equilibrium Problems, Variational Inequality and Fixed Point Problems of Asymptotically Strict Pseudocontractive Mappings in the Intermediate Sense
1
17
New hybrid steepest descent algorithms for variational inequalities over the common fixed points set of infinite nonexpansive mappings
1
18 1
19 6
20 19

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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