Gao Ya

525 total citations
37 papers, 417 citations indexed

About

Gao Ya is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Pollution. According to data from OpenAlex, Gao Ya has authored 37 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Fluid Flow and Transfer Processes, 9 papers in Computational Mechanics and 5 papers in Pollution. Recurrent topics in Gao Ya's work include Advanced Combustion Engine Technologies (11 papers), Combustion and flame dynamics (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). Gao Ya is often cited by papers focused on Advanced Combustion Engine Technologies (11 papers), Combustion and flame dynamics (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). Gao Ya collaborates with scholars based in China, Canada and Indonesia. Gao Ya's co-authors include Jianquan Guo, Zhifen Lin, Zhifeng Yao, Zhijun Wu, Weidi Huang, Liguang Li, Zhanjun Wu, Ling Liu, Zheng Zhong and Dali Wang and has published in prestigious journals such as Journal of Hazardous Materials, Chemosphere and Applied Energy.

In The Last Decade

Gao Ya

34 papers receiving 410 citations

Peers

Gao Ya
Comparison fields: 5 of 102
  • Strategy and Management 69
  • Computational Mechanics 65
  • Pollution 61
  • Fluid Flow and Transfer Processes 61
  • Health, Toxicology and Mutagenesis 48
Replace Wenqian Liu with:
Wenqian Liu China
Huiming Gong China
Eduardo Vyhmeister Chile
Rebecca L. Lankey United States
Kirimi Kiriamiti Kenya
Ramkumar Karuppiah United States
Mamdouh A. Gadalla Egypt
Peter Mock Germany
Agustín Jaime Castro‐Montoya Mexico
Anita Kovač Kralj Slovenia
Wenqian Liu China View profile →
Citations per field, relative to Gao Ya
Gao Ya · 1×
Citations per year, relative to Gao Ya
Gao Ya · 1×

Countries citing papers authored by Gao Ya

Since Specialization
Citations

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

Fields of papers citing papers by Gao Ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Ya

This figure shows the co-authorship network connecting the top 25 collaborators of Gao Ya. A scholar is included among the top collaborators of Gao Ya 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 Gao Ya. Gao Ya 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 1
2 0
3 1
4 5
5 5
6 11
7 0
8 15
9 11
10 32
11 3
12
Traffic Safety Situation and Countermeasures for City Bus Passenger Transportation
2
13 34
14 20
15 7
16 39
17 13
18
Student Information Management System Design and Implementation Based on ADO.NET
0
19
Application of Advanced Simulative Teaching in Fundamental Nursing Education
1
20
Preliminary Study of Hangzhou City River Landscape System Planning
1

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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