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Membrane-based Ion Separation Techniques

Membrane-based Ion Separation Techniques is a research topic within Biomedical Engineering. Science Explorer counts 28k research works in it since 1950. 26.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the science and technology of capacitive deionization for water desalination. It covers topics such as ion exchange membranes, electrodialysis, energy recovery, carbon electrodes, salinity gradient power, and reverse electrodialysis. The research explores the past, present, and future developments in capacitive deionization as an electrochemical means of saving energy and delivering clean water.

  • Capacitive Deionization
  • Water Desalination
  • Ion Exchange Membranes
  • Electrodialysis
  • Energy Recovery
  • Carbon Electrodes
  • Salinity Gradient Power
  • Reverse Electrodialysis
  • Nanoporous Carbon
  • Membrane Capacitive Deionization
Research works
28k
fractional, since 1950
In the world top 10%
7.4k
per year above
Top-10% rate
26.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+39%
the tick is no change

Which countries lead Membrane-based Ion Separation Techniques research?

By volume, China and the United States publish the most (2.4k and 598 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.4k works
  2. 2 United States 598 works
  3. 3 India 324 works
  4. 4 South Korea 266 works
  5. 5 Iran 173 works
  6. 6 Russia 165 works
  7. 7 Japan 149 works
  8. 8 Germany 133 works
  9. 9 Spain 120 works
  10. 10 Saudi Arabia 113 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: 54.5%United States: 13.3%India: 7.2%South Korea: 5.9%6 others listed: 19.0%54%largest
China2,445 · 54.5%United States598 · 13.3%India324 · 7.2%South Korea266 · 5.9%6 others listed853 · 19.0%

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

Which institutions lead Membrane-based Ion Separation Techniques research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Membrane-based Ion Separation Techniques research, followed by Tiangong University and Harbin Institute of Technology.

Who are the leading researchers in Membrane-based Ion Separation Techniques?

The most-cited researchers publishing on Membrane-based Ion Separation Techniques include Feiyu Kang and Lei Jiang.

  1. 1 Feiyu Kang China 3.9k citations
  2. 2 Lei Jiang China 3.8k citations

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

Where is Membrane-based Ion Separation Techniques research done?

The largest centres of Membrane-based Ion Separation Techniques research in 2022–2025 are Beijing (China), Tianjin (China), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Tambov, Krasnodar and Dhahran.

Largest cities, 2022–2025

  1. 1 Beijing China 368 works
  2. 2 Tianjin China 178 works
  3. 3 Shanghai China 163 works
  4. 4 Nanjing China 155 works
  5. 5 Hangzhou China 115 works
  6. 6 Wuhan China 106 works
  7. 7 Seoul South Korea 101 works
  8. 8 Tehran Iran 85 works
  9. 9 Qingdao China 85 works
  10. 10 Hefei China 82 works

Where it is the local speciality

  1. TambovRU · 20.4 works41×
  2. KrasnodarRU · 37.3 works24×
  3. DhahranSA · 32.3 works12×
← less than its size predictsmore →

Location quotient: how much more of its research is in Membrane-based Ion Separation Techniques than the world average.

See Membrane-based Ion Separation Techniques on the map

Where is the best place to study Membrane-based Ion Separation Techniques?

Among universities, judged by research, Changchun University of Technology, Kobe University and King Abdullah University of Science and 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%60%mean 34.83%fractional works in this node (log) →share in the world top 10% →Changchun University of Technology: 21, 48.4%Kobe University: 20, 34.6%King Abdullah University of Science and Technology: 22, 31.5%Zhejiang University of Technology: 31, 25.1%Khalifa University of Science and Technology: 18, 37.1%Tiangong University: 52, 30.0%King Fahd University of Petroleum and Minerals: 30, 22.4%Dalian University: 17, 35.5%East China University of Science and Technology: 26, 26.7%University of Hong Kong: 13, 57.0%Changchun University…Kobe UniversityKing Abdullah Univer…Zhejiang University …
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
1Changchun University of Technology?? 75.548.4%30.1×21 +353.8%
2 Kobe UniversityJapan 69.934.6%12.4×20 +314.9%
3 King Abdullah University of Science and TechnologySaudi Arabia 68.831.5%13.1×22 +85.7%
4 Zhejiang University of TechnologyChina 68.225.1%9.6×31 +237.7%
5 Khalifa University of Science and TechnologyUnited Arab Emirates 67.137.1%12.5×18
6 Tiangong UniversityChina 66.830.0%36.2×52 +38.1%
7 King Fahd University of Petroleum and MineralsSaudi Arabia 65.922.4%14.1×30 +102.1%
8 Dalian UniversityChina 64.435.5%11.9×17 +137.3%
9 East China University of Science and TechnologyChina 64.326.7%8.8×26 +274.1%
10 University of Hong KongHong Kong 63.957.0%2.5×13 +229.4%

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 Membrane-based Ion Separation Techniques research growing?

Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Membrane-based Ion Separation Techniques.

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.