Shanhe Wu

1.7k citations
95 papers · 1.4k indexed · h-index 23
Topics
Mathematical Inequalities and Applications (80 papers)Mathematics and Applications (48 papers)Functional Equations Stability Results (46 papers)
Partner nations
ChinaPakistanRomania

In The Last Decade

Shanhe Wu

85 papers receiving 1.1k citations

Peers

Shanhe Wu
Comparison fields: 5 of 49
  • Applied Mathematics 1.3k
  • Geometry and Topology 451
  • Computational Theory and Mathematics 123
  • Modeling and Simulation 86
  • Statistics and Probability 85
Replace S. M. Vaezpour with:
S. M. Vaezpour Iran
Tingsong Du China
John Michael Rassias Greece
F. S. de Blasi Italy
Artion Kashuri Albania
Wolfgang M. Ruess Germany
Miklós Laczkovich Hungary
Erhan Set Türkiye
B. N. Sadovskii Russia
Chao-Ping Chen China
Shanhe Wu relative to S. M. Vaezpour Iran S. M. Vaezpour's profile →
Citations per field
00.5×3.3×
S. M. Vaezpour · 1×
Citations per year

Countries citing papers authored by Shanhe Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shanhe Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanhe Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanhe Wu. A scholar is included among the top collaborators of Shanhe Wu 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 Shanhe Wu. Shanhe Wu 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 4
2 6
3 9
4 1
5 61
6 21
7 3
8
Ratio-Type Inequalities for Bisectors, Medians, Altitudes, and Sides of a Triangle
0
9 50
10 3
11 12
12 5
13 23
14 15
15 69
16 1
17 25
18 10
19
A CLASS OF INEQUALITIES RELATED TO THE ANGLE BISECTORS AND THE SIDES OF A TRIANGLE
3
20 42

About Shanhe Wu

Shanhe Wu is a scholar working on Applied Mathematics, Geometry and Topology and Theoretical Computer Science, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mathematical Inequalities and Applications (80 papers), Mathematics and Applications (48 papers) and Functional Equations Stability Results (46 papers). The work is most often cited by research in Applied Mathematics (1.3k citations), Geometry and Topology (451 citations) and Modeling and Simulation (86 citations). Shanhe Wu has collaborated with scholars based in China, Pakistan and Romania. Frequent co-authors include Lokenath Debnath, H. M. Srivastava, İmdat Işcan, Yu‐Ming Chu, Huan-Nan Shi, Árpád Baricz, Muhammad Adil Khan, Feng Qi, Tingsong Du and Bicheng Yang. Their work appears in journals such as Fuzzy Sets and Systems, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

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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