Jun Cai

4.2k citations
164 papers · 3.6k · h-index 31

Impact in

Papers in

    • Ultrasound and Cavitation Phenomena 16
    • Catalytic Processes in Materials Science 12
    • Combustion and flame dynamics 16
    • Fluid Dynamics and Heat Transfer 9
    • Heat transfer and supercritical fluids 8

Jun Cai

159 papers receiving 3.5k citations

Peers

Jun Cai
Comparison fields: 5 of 139
  • Computational Mechanics 838
  • Fluid Flow and Transfer Processes 237
  • Biomaterials 433
  • Materials Chemistry 1.2k
  • Biomedical Engineering 918
Replace Matthias Kind with:
Matthias Kind Germany
Heike P. Schuchmann Germany
Hermann Nirschl Germany
Antonello Barresi Italy
Mark Simmons United Kingdom
Sushanta K. Mitra Canada
Hua Wu Switzerland
Souvik Bhattacharyya India
Georgios D. Stefanidis Belgium
Walter W. Focke South Africa
Jun Cai relative to Matthias Kind Germany Matthias Kind's profile →
Citations per field
00.5×2.7×
Matthias Kind · 1×
Citations per year

Countries citing papers authored by Jun Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996361
2 2015265
3 2016125
4 201197
5 201290
6 200890
7 200877
8 201270
9 201066
10 201765
11 201758
12 200958
13 201857
14 202255
15 200552
16 201248
17 201348
18 202247
19 201147
20 201745

About Jun Cai

Jun Cai is a scholar working on Materials Chemistry, Computational Mechanics, Mechanical Engineering, Biomedical Engineering and Aerospace Engineering, having authored 164 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ultrasound and Cavitation Phenomena (16 papers), Combustion and flame dynamics (16 papers), Catalytic Processes in Materials Science (12 papers), Nanocomposite Films for Food Packaging (10 papers), Fluid Dynamics and Heat Transfer (9 papers), Advanced Combustion Engine Technologies (8 papers), Heat transfer and supercritical fluids (8 papers) and Heat Transfer and Optimization (7 papers). The work is most often cited by research in Computational Mechanics (838 citations), Fluid Flow and Transfer Processes (237 citations), Biomaterials (433 citations), Materials Chemistry (1.2k citations) and Biomedical Engineering (918 citations). Jun Cai has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiulan Huai, Xunfeng Li, San‐Mou Jeng, Jianhong Yang, Lian Zhong, Zhixiong Guo, Jinping Zhou, Lina Zhang, Lingyan Li and Lianjie Liu. Their work appears in journals such as Applied Thermal Engineering, International Journal of Biological Macromolecules, Energy, Journal of Applied Polymer Science and Physical review. B, Condensed matter.

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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