Science Explorer Interactive view Map

Heat transfer and supercritical fluids

Heat transfer and supercritical fluids is a research topic within Computational Mechanics. Science Explorer counts 16k research works in it since 1950. 20.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the heat transfer characteristics and behaviors of supercritical fluids, particularly in the context of aerospace propulsion, thermal management, and hydrocarbon pyrolysis. It covers experimental measurements, numerical simulations, convective heat transfer, turbulent flows, and cooling applications for various supercritical fluids such as carbon dioxide and water. The research also delves into regenerative cooling methods and their application in advanced aeroengines.

  • Supercritical Fluids
  • Heat Transfer
  • Aerospace Propulsion
  • Thermal Management
  • Hydrocarbon Pyrolysis
  • Turbulent Flows
  • Cooling Applications
  • Numerical Simulation
  • Regenerative Cooling
  • Convective Heat Transfer
Research works
16k
fractional, since 1950
In the world top 10%
3.3k
per year above
Top-10% rate
20.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+33%
the tick is no change

Which countries lead Heat transfer and supercritical fluids research?

By volume, China and the United States publish the most (1.3k and 341 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.3k works
  2. 2 United States 341 works
  3. 3 India 298 works
  4. 4 Russia 173 works
  5. 5 Germany 92 works
  6. 6 South Korea 90 works
  7. 7 United Kingdom 73 works
  8. 8 Italy 66 works
  9. 9 France 64 works
  10. 10 Japan 64 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 51.2%United States: 13.2%India: 11.5%Russia: 6.7%6 others listed: 17.4%51%largest
China1,326 · 51.2%United States341 · 13.2%India298 · 11.5%Russia173 · 6.7%6 others listed449 · 17.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Heat transfer and supercritical fluids research?

By volume in 2022–2025, Xi'an Jiaotong University publishes the most Heat transfer and supercritical fluids research, followed by Shanghai Jiao Tong University and Tsinghua University.

Who are the leading researchers in Heat transfer and supercritical fluids?

The most-cited researchers publishing on Heat transfer and supercritical fluids include Tasawar Hayat, Rolf D. Reitz and Chunshan Song.

  1. 1 Tasawar Hayat Pakistan 4.6k citations
  2. 2 Rolf D. Reitz United States 2.5k citations
  3. 3 Chunshan Song United States 2.1k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Heat transfer and supercritical fluids research done?

The largest centres of Heat transfer and supercritical fluids research in 2022–2025 are Beijing (China), Xi'an (China), Shanghai (China) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Harbin, Xi'an and Novosibirsk.

Largest cities, 2022–2025

  1. 1 Beijing China 297 works
  2. 2 Xi'an China 185 works
  3. 3 Shanghai China 109 works
  4. 4 Harbin China 99 works
  5. 5 Moscow Russia 65 works
  6. 6 Nanjing China 61 works
  7. 7 Chennai India 48 works
  8. 8 Wuhan China 44 works
  9. 9 Chengdu China 40 works
  10. 10 Tianjin China 39 works

Where it is the local speciality

  1. HarbinCN · 99.4 works7.6×
  2. Xi'anCN · 185.0 works7.3×
  3. NovosibirskRU · 23.5 works6.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Heat transfer and supercritical fluids than the world average.

See Heat transfer and supercritical fluids on the map

Where is the best place to study Heat transfer and supercritical fluids?

Among universities, judged by research, Xi'an Jiaotong University, Northeast Electric Power University and Harbin Institute of Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 30.93%fractional works in this node (log) →share in the world top 10% →Xi'an Jiaotong University: 126, 29.2%Northeast Electric Power University: 13, 44.1%Harbin Institute of Technology: 46, 37.5%Beihang University: 45, 32.4%King Abdullah University of Science and Technology: 11, 19.2%Tsinghua University: 50, 31.6%Shanghai Jiao Tong University: 60, 25.4%North China Electric Power University: 33, 31.7%Sichuan University: 28, 39.1%Harbin Engineering University: 43, 19.1%Northeast Electric P…Harbin Institute of …Beihang UniversityXi'an Jiaotong Unive…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Xi'an Jiaotong UniversityChina 70.829.2%24.2×126 +42.1%
2 Northeast Electric Power UniversityChina 69.944.1%30.6×13 +114.6%
3 Harbin Institute of TechnologyChina 64.637.5%8.5×46 +39.6%
4 Beihang UniversityChina 63.032.4%12.4×45 +6.7%
5 King Abdullah University of Science and TechnologySaudi Arabia 62.519.2%12.1×11 +314.4%
6 Tsinghua UniversityChina 60.731.6%7.8×50 +58.1%
7 Shanghai Jiao Tong UniversityChina 59.825.4%8.6×60 +61.7%
8 North China Electric Power UniversityChina 58.831.7%15.3×33 -5.2%
9 Sichuan UniversityChina 57.239.1%5.1×28 +133.2%
10 Harbin Engineering UniversityChina 55.219.1%25.1×43 +58.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Heat transfer and supercritical fluids research growing?

Output in 2018–2022 was 33% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Heat transfer and supercritical fluids.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.