Jun Hu

790 citations
88 papers · 580 · h-index 12

Impact in

Papers in

    • Turbomachinery Performance and Optimization 47
    • Aerodynamics and Fluid Dynamics Research 17
    • Wind Energy Research and Development 7
    • Refrigeration and Air Conditioning Technologies 27
    • Heat Transfer Mechanisms 18

Jun Hu

82 papers receiving 567 citations

Peers

Jun Hu
Comparison fields: 5 of 75
  • Aerospace Engineering 304
  • Management Science and Operations Research 110
  • Computational Mechanics 179
  • Computational Theory and Mathematics 89
  • Mechanical Engineering 171
Replace K. Srinivas with:
K. Srinivas India
Björn Nagel Germany
Kenneth Moore United States
Bret A. Naylor United States
Daniel R. Herber United States
Ilan M. Kroo United States
Jeremy Agte United States
G. K. Kamenev Russia
Shawn Gano United States
Thierry Lefèbvre France
Jun Hu relative to K. Srinivas India K. Srinivas's profile →
Citations per field
00.5×5.0×
K. Srinivas · 1×
Citations per year

Countries citing papers authored by Jun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Hu, 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 Jun Hu Line = papers co-authored together Jun Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201981
2 201340
3 201832
4 201730
5 201926
6 201725
7 201720
8 200019
9 201716
10 201416
11 201715
12 201413
13 20169
14 20169
15 20209
16 20099
17 20209
18 20149
19 20118
20 20228

About Jun Hu

Jun Hu is a scholar working on Aerospace Engineering, Mechanical Engineering, Computational Mechanics, Artificial Intelligence and Software, having authored 88 papers that have together received 580 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (47 papers), Refrigeration and Air Conditioning Technologies (27 papers), Heat Transfer Mechanisms (18 papers), Aerodynamics and Fluid Dynamics Research (17 papers), Fluid Dynamics and Turbulent Flows (16 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Wind Energy Research and Development (7 papers) and Advanced Software Engineering Methodologies (6 papers). The work is most often cited by research in Aerospace Engineering (304 citations), Management Science and Operations Research (110 citations), Computational Mechanics (179 citations), Computational Theory and Mathematics (89 citations) and Mechanical Engineering (171 citations). Jun Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yongming Song, Chenkai Zhang, Jin Guo, Maomao Li, Zhiqiang Wang, Yougang Tang, Zhiqiang Wang, Bo Lu, Ruoyu Zhang and Chaohe Chen. Their work appears in journals such as Energies, Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy, Aerospace Science and Technology, Journal of Engineering for Gas Turbines and Power and Journal of Aerospace Engineering.

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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