Wei Gao

7.6k total citations · 1 hit paper
301 papers, 6.2k citations indexed

About

Wei Gao is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, Wei Gao has authored 301 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computational Theory and Mathematics, 78 papers in Geometry and Topology and 64 papers in Artificial Intelligence. Recurrent topics in Wei Gao's work include Graph theory and applications (76 papers), Computational Drug Discovery Methods (46 papers) and Fractional Differential Equations Solutions (41 papers). Wei Gao is often cited by papers focused on Graph theory and applications (76 papers), Computational Drug Discovery Methods (46 papers) and Fractional Differential Equations Solutions (41 papers). Wei Gao collaborates with scholars based in China, Türkiye and Pakistan. Wei Gao's co-authors include Hacı Mehmet Başkonuş, P. Veeresha, D. G. Prakasha, Gülnur Yel, Weifan Wang, Zhi‐Hua Zhou, Juan L. G. Guirao, Yiqiao Wang, Adnan Aslam and Hasan Bulut and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Chemical Physics Letters.

In The Last Decade

Wei Gao

278 papers receiving 6.0k citations

Hit Papers

An independent set degree condition for fractional critic... 2018 2026 2020 2023 2018 50 100 150

Peers

Wei Gao
Comparison fields: 5 of 164
  • Modeling and Simulation 1.9k
  • Statistical and Nonlinear Physics 1.4k
  • Computational Theory and Mathematics 1.0k
  • Geometry and Topology 993
  • Artificial Intelligence 800
Xinzhi Liu Canada
Praveen Agarwal India
Juan L. G. Guirao Spain
Zhen Wang China
R. Sakthivel India
Yan Li China
Omar Abu Arqub Jordan
Igor Podlubný Slovakia
Carlo Cattani Italy
Yonghong Wu China
Xinzhi Liu Canada View profile →
Citations per field, relative to Wei Gao
Wei Gao · 1×
Citations per year, relative to Wei Gao
Wei Gao · 1×

Countries citing papers authored by Wei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Gao. A scholar is included among the top collaborators of Wei Gao 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 Wei Gao. Wei Gao 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 0
2 1
3 6
4 6
5 1
6 2
7 5
8 6
9 18
10 17
11 19
12 3
13 118
14 2
15 1
16 91
17
An Extension Result on Fractional ID-(g, f, m)-Deleted Graph.
0
18
Isolated toughness condition for fractional (a,b,n)-critical deleted graphs
1
19
Ontology similarity computation using k-partite ranking method
8
20
Oscillation criteria for delay difference equations
20

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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