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Chaos-based Image/Signal Encryption

Chaos-based Image/Signal Encryption is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 37k research works in it since 1957. 16.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on chaos-based techniques for encrypting digital images, utilizing chaotic maps, optical encryption, DNA sequences, and compressive sensing. It explores various aspects such as cryptanalysis, random number generation, and security analysis in the context of image encryption.

  • Chaos
  • Image Encryption
  • Chaotic Maps
  • Optical Encryption
  • DNA Sequence
  • Cryptanalysis
  • Compressive Sensing
  • Random Number Generator
  • Color Image Encryption
  • Security Analysis
Research works
37k
fractional, since 1957
In the world top 10%
5.9k
per year above
Top-10% rate
16.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+22%
the tick is no change

Which countries lead Chaos-based Image/Signal Encryption research?

By volume, China and India publish the most (2.2k and 2k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.2k works
  2. 2 India 2k works
  3. 3 United States 494 works
  4. 4 Iraq 370 works
  5. 5 Japan 197 works
  6. 6 Indonesia 173 works
  7. 7 Türkiye 152 works
  8. 8 Saudi Arabia 151 works
  9. 9 France 144 works
  10. 10 Taiwan 130 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: 36.9%India: 32.9%United States: 8.2%Iraq: 6.2%6 others listed: 15.8%37%largest
China2,214 · 36.9%India1,976 · 32.9%United States494 · 8.2%Iraq370 · 6.2%6 others listed948 · 15.8%

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

Which institutions lead Chaos-based Image/Signal Encryption research?

By volume in 2022–2025, Vellore Institute of Technology University publishes the most Chaos-based Image/Signal Encryption research, followed by Mustansiriyah University and Amrita Vishwa Vidyapeetham.

Who are the leading researchers in Chaos-based Image/Signal Encryption?

The most-cited researchers publishing on Chaos-based Image/Signal Encryption include H. Vincent Poor, Dan Boneh and Ronald L. Rivest.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 Dan Boneh United States 7.5k citations
  3. 3 Ronald L. Rivest United States 7.3k citations
  4. 4 Leonard M. Adleman United States 6.7k citations
  5. 5 Adi Shamir Israel 6.3k citations
  6. 6 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  7. 7 Guanrong Chen Hong Kong 5.4k citations

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

Where is Chaos-based Image/Signal Encryption research done?

The largest centres of Chaos-based Image/Signal Encryption research in 2022–2025 are Beijing (China), Baghdad (Iraq), Chennai (India) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Salt, Thanjavur and Kurukshetra.

Largest cities, 2022–2025

  1. 1 Beijing China 337 works
  2. 2 Baghdad Iraq 206 works
  3. 3 Chennai India 190 works
  4. 4 Guangzhou China 117 works
  5. 5 Nanjing China 108 works
  6. 6 Shanghai China 103 works
  7. 7 Coimbatore India 100 works
  8. 8 Xi'an China 98 works
  9. 9 Bengaluru India 91 works
  10. 10 Harbin China 82 works

Where it is the local speciality

  1. SaltJO · 32.2 works37×
  2. ThanjavurIN · 32.4 works25×
  3. KurukshetraIN · 21.1 works14×
  4. HillahIQ · 29.3 works14×
  5. BaghdadIQ · 205.6 works13×
← less than its size predictsmore →

Location quotient: how much more of its research is in Chaos-based Image/Signal Encryption than the world average.

See Chaos-based Image/Signal Encryption on the map

Where is the best place to study Chaos-based Image/Signal Encryption?

Among universities, judged by research, Dalian Maritime University, National Institute of Technology Patna and German University in Cairo 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%25%50%75%mean 33.84%fractional works in this node (log) →share in the world top 10% →Dalian Maritime University: 31, 47.9%National Institute of Technology Patna: 14, 42.1%German University in Cairo: 16, 30.9%SASTRA University: 32, 16.4%University of Kashmir: 18, 28.1%Mustansiriyah University: 59, 1.0%East China Jiaotong University: 14, 62.7%National Institute of Technology Kurukshetra: 18, 26.8%Princess Nourah bint Abdulrahman University: 17, 37.3%Dalian Polytechnic University: 16, 45.2%Dalian Maritime Univ…National Institute o…German University in…SASTRA 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
1 Dalian Maritime UniversityChina 77.547.9%10.5×31 +319.7%
2 National Institute of Technology PatnaIndia 66.342.1%11.9×14 +200.0%
3 German University in CairoEgypt 64.630.9%39.6×16 +292.2%
4 SASTRA UniversityIndia 63.216.4%30.1×32 +242.8%
5 University of KashmirIndia 62.428.1%14.9×18 +364.5%
6 Mustansiriyah UniversityIraq 61.51.0%25.7×59 +337.9%
7 East China Jiaotong UniversityChina 61.562.7%13.3×14 -58.5%
8 National Institute of Technology KurukshetraIndia 61.226.8%19.8×18 +854.0%
9 Princess Nourah bint Abdulrahman UniversitySaudi Arabia 60.437.3%7.9×17
10 Dalian Polytechnic UniversityChina 60.445.2%11.6×16

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 Chaos-based Image/Signal Encryption research growing?

Output in 2018–2022 was 22% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Chaos-based Image/Signal Encryption.

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.