Song Cheng

94 papers receiving 1.3k citations

Peers

Song Cheng
Comparison fields: 5 of 94
  • Fluid Flow and Transfer Processes 345
  • Structural Biology 33
  • Computational Mechanics 386
  • Atomic and Molecular Physics, and Optics 443
  • Radiation 90
Replace A. Moussaı̈d with:
A. Moussaı̈d France
Markus Rauscher Germany
Tomohiro Kobayashi Japan
Paul K. Dixon United States
Barend J. Thijsse Netherlands
Б. В. Потапкин Russia
Serge Mora France
D. L. Miller United States
J. T. Titantah Belgium
P. Vargas Chile
Song Cheng relative to A. Moussaı̈d France A. Moussaı̈d's profile →
Citations per field
00.5×7.3×
A. Moussaı̈d · 1×
Citations per year

Countries citing papers authored by Song Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Song Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20243
4 20244
5 20243
6 20240
7 202410
8 20238
9 20235
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11 20236
12 202313
13 20229
14 202215
15 20206
16 201911
17 201748
18 20153
19
Interaction Performance of PELE Penetrating Target Plate with Different Material
20121
20 200362

About Song Cheng

Song Cheng is a scholar working on Fluid Flow and Transfer Processes, Structural Biology, Computational Mechanics, Atomic and Molecular Physics, and Optics and Surfaces, Coatings and Films, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Atomic and Molecular Physics (29 papers), Advanced Combustion Engine Technologies (28 papers), Combustion and flame dynamics (24 papers), Advanced Chemical Physics Studies (18 papers), Catalytic Processes in Materials Science (13 papers), Mass Spectrometry Techniques and Applications (8 papers), Biodiesel Production and Applications (7 papers) and Fluid Dynamics and Heat Transfer (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (345 citations), Structural Biology (33 citations), Computational Mechanics (386 citations), Atomic and Molecular Physics, and Optics (443 citations) and Radiation (90 citations). Song Cheng has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include S. Scott Goldsborough, William J. Pitz, Scott W. Wagnon, R. W. Dunford, Chiara Saggese, D. S. Gemmell, Dongil Kang, H. G. Berry, E. P. Kanter and Shuangfeng Wang. Their work appears in journals such as Combustion and Flame, Physical Review A, Proceedings of the Combustion Institute, The Astrophysical Journal and Fuel.

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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