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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. 9.9% 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%
3.7k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+22%
the tick is no change
Largest producer
China
37% of the 10 largest, 2022-now
Chaos-based Image/Signal Encryption

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

By volume, China and India publish the most (2.5k and 2.2k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.5k works
  2. 2 India 2.2k works
  3. 3 United States 558 works
  4. 4 Iraq 399 works
  5. 5 Japan 216 works
  6. 6 Indonesia 194 works
  7. 7 Saudi Arabia 168 works
  8. 8 Türkiye 167 works
  9. 9 France 156 works
  10. 10 Taiwan 141 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: 37.2%India: 33.1%United States: 8.3%Iraq: 5.9%6 others listed: 15.4%37%largest
China2,511 · 37.2%India2,234 · 33.1%United States558 · 8.3%Iraq399 · 5.9%6 others listed1,041 · 15.4%

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

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

By volume in 2022-now, Chinese Academy of Sciences publishes the most Chaos-based Image/Signal Encryption research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.

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

The most-cited researchers publishing on Chaos-based Image/Signal Encryption include Xiangyu Zhang, John P. A. Ioannidis and Kai You Wang.

  1. 1 Xiangyu Zhang 327k citations
  2. 2 John P. A. Ioannidis United States 317k citations
  3. 3 Kai You Wang China 224k citations
  4. 4 Lei Jiang China 214k citations

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

What are the most cited papers in Chaos-based Image/Signal Encryption?

The most cited paper in Chaos-based Image/Signal Encryption is "New directions in cryptography" (Whitfield Diffie, Martin E. Hellman, 1976), with 14,610 citations. Next come "How to share a secret" (13,673) and "A method for obtaining digital signatures and public-key cryptosystems" (13,115).

Most cited papers
#PaperReleasedCitations
1 New directions in cryptography Whitfield Diffie, Martin E. Hellman · IEEE Transactions on Information Theory Nov 1976 14,610
2 How to share a secret Adi Shamir · Communications of the ACM Open access Nov 1979 13,673
3 A method for obtaining digital signatures and public-key cryptosystems Ronald L. Rivest, Adi Shamir, Leonard M. Adleman · Communications of the ACM 1983 13,115
4 Identity-Based Cryptosystems and Signature Schemes Adi Shamir · Lecture notes in computer science Conference paper 12 Aug 2007 6,693
5 Mersenne twister Makoto Matsumoto, Takuji Nishimura · ACM Transactions on Modeling and Computer Simulation 1998 5,805
All 100 most cited papers, with filters and sorting

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

The largest centres of Chaos-based Image/Signal Encryption research in 2022-now 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-now

  1. 1 BeijingChina 371 works
  2. 2 BaghdadIraq 220 works
  3. 3 ChennaiIndia 216 works
  4. 4 GuangzhouChina 125 works
  5. 5 NanjingChina 121 works
  6. 6 ShanghaiChina 116 works
  7. 7 CoimbatoreIndia 113 works
  8. 8 Xi'anChina 109 works
  9. 9 BengaluruIndia 104 works
  10. 10 HarbinChina 91 works

Where it is the local speciality

  1. SaltJO · 32.6 works35×
  2. ThanjavurIN · 38.7 works26×
  3. KurukshetraIN · 24.0 works15×
  4. HillahIQ · 30.1 works13×
  5. BaghdadIQ · 220.2 works12×
← less than its size predicts1×more →

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, East China Jiaotong University and Dalian Polytechnic University 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 34.4%fractional works in this field (log) →share of work in the world top 10% →East China Jiaotong …Xiangtan UniversityDalian Polytechnic U…Dalian Maritime Univ…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Dalian Maritime UniversityChina 73.839.7%11.5×34 +17.3%
2East China Jiaotong UniversityChina 69.852.3%16.0×17 +870.5%
3Dalian Polytechnic UniversityChina 67.341.2%12.9×18 +49.8%
4Xiangtan UniversityChina 66.846.0%7.0×14 +113.3%
5Princess Nourah bint Abdulrahman UniversitySaudi Arabia 64.727.5%9.1×19 +482.5%
6Quaid-i-Azam UniversityPakistan 61.423.7%10.7×19 +19.2%
7Central South UniversityChina 59.744.9%1.4×22 +20.8%
8National Institute of Technology PatnaIndia 58.635.4%12.8×15 +88.9%
9SRM Institute of Science and TechnologyIndia 58.08.6%9.9×80 +238.7%
10Heilongjiang UniversityChina 57.624.7%25.7×35 +82.1%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Chaos-based Image/Signal Encryption, country by country

Is Chaos-based Image/Signal Encryption research growing?

Output in 2022-2025 was 22% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Chaos-based Image/Signal Encryption.

still counting19801990200020102020
grewheldshrank

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

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Chaos-based Image/Signal Encryption as a percentage of every work published that year, 0.042% in 2024.

still counting0.020%0.040%0.060%Chaos-based Image/Signal Encryption0.041% in 202519801990200020102020

Fractional works of Chaos-based Image/Signal Encryption over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Chaos-based Image/Signal Encryption10.0% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

Discussion

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