Ya Ge

1.3k citations
38 papers · 1.1k · h-index 17

Impact in

Papers in

Ya Ge

34 papers receiving 1.1k citations

Peers

Ya Ge
Comparison fields: 5 of 71
  • Renewable Energy, Sustainability and the Environment 231
  • Mechanical Engineering 397
  • Civil and Structural Engineering 219
  • Materials Chemistry 393
  • Automotive Engineering 74
Replace Xun Liu with:
Xun Liu China
Seyed Mohsen Pourkiaei Iran
Fu Wang China
Jonathan Siviter United Kingdom
Saïd Bentouba Algeria
Andrea Montecucco United Kingdom
C. Selvam India
Yulin Wang China
Lin Cong China
Ya Ge relative to Xun Liu China Xun Liu's profile →
Citations per field
00.5×2×2.6×
Xun Liu · 1×
Citations per year

Countries citing papers authored by Ya Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ya Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ya Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ya Ge Line = papers co-authored together Ya Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017119
2 2018112
3 2016109
4 201888
5 201784
6 201963
7 201658
8 202052
9 202151
10 201641
11 202239
12 202032
13 202129
14 201922
15 202019
16 201718
17 202218
18 201515
19 202114
20 202012

About Ya Ge

Ya Ge is a scholar working on Mechanical Engineering, Computational Theory and Mathematics, Civil and Structural Engineering, Materials Chemistry and Building and Construction, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heat Transfer and Optimization (12 papers), Heat Transfer Mechanisms (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Advanced Thermoelectric Materials and Devices (6 papers), Thermochemical Biomass Conversion Processes (5 papers), Thermal Radiation and Cooling Technologies (4 papers), Heat Transfer and Boiling Studies (4 papers) and Building Energy and Comfort Optimization (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (231 citations), Mechanical Engineering (397 citations), Civil and Structural Engineering (219 citations), Materials Chemistry (393 citations) and Automotive Engineering (74 citations). Ya Ge has collaborated with scholars based in China and United States. Frequent co-authors include Zhichun Liu, Wei Liu, Henan Sun, Jun Shen, Yousheng Lin, Lingping Zeng, Wei Liu, Shicheng Wang, Wei Liu and Qing He. Their work appears in journals such as Energy, International Journal of Heat and Mass Transfer, Applied Thermal Engineering, Case Studies in Thermal Engineering and Solar Energy.

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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