Science Explorer Interactive view Map

Fractal and DNA sequence analysis

Fractal and DNA sequence analysis is a research topic within Molecular Biology. Science Explorer counts 9.5k research works in it since 1950. 14.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of signal processing techniques to analyze genomic data, including DNA sequences and protein sequences. It explores methods such as graphical representation, numerical characterization, chaos game representation, wavelet analysis, periodicity analysis, and fractal analysis. The cluster also delves into the use of machine learning for genomic signal processing.

  • Genomic Signal Processing
  • DNA Sequences
  • Protein Sequences
  • Graphical Representation
  • Numerical Characterization
  • Chaos Game Representation
  • Wavelet Analysis
  • Periodicity Analysis
  • Fractal Analysis
  • Machine Learning
Research works
9.5k
fractional, since 1950
In the world top 10%
1.3k
per year above
Top-10% rate
14.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+11%
the tick is no change

Which countries lead Fractal and DNA sequence analysis research?

By volume, China and the United States publish the most (256 and 180 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 256 works
  2. 2 United States 180 works
  3. 3 India 152 works
  4. 4 Türkiye 70 works
  5. 5 Russia 54 works
  6. 6 United Kingdom 36 works
  7. 7 Germany 36 works
  8. 8 France 36 works
  9. 9 Italy 33 works
  10. 10 Japan 29 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: 29.0%United States: 20.5%India: 17.3%Türkiye: 7.9%6 others listed: 25.4%29%largest
China256 · 29.0%United States180 · 20.5%India152 · 17.3%Türkiye70 · 7.9%6 others listed223 · 25.4%

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

Which institutions lead Fractal and DNA sequence analysis research?

By volume in 2022–2025, University of Electronic Science and Technology of China publishes the most Fractal and DNA sequence analysis research, followed by Zonguldak Bülent Ecevit University and Erzincan Binali Yıldırım University.

Who are the leading researchers in Fractal and DNA sequence analysis?

The most-cited researchers publishing on Fractal and DNA sequence analysis include H. Eugene Stanley.

  1. 1 H. Eugene Stanley United States 5.5k citations

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

Where is Fractal and DNA sequence analysis research done?

The largest centres of Fractal and DNA sequence analysis research in 2022–2025 are Beijing (China), Moscow (Russia), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an.

Largest cities, 2022–2025

  1. 1 Beijing China 40 works
  2. 2 Moscow Russia 25 works
  3. 3 Xi'an China 20 works
  4. 4 Nanjing China 14 works
  5. 5 Chengdu China 13 works
  6. 6 Kolkata India 12 works
  7. 7 Shanghai China 12 works
  8. 8 Paris France 11 works
  9. 9 Guangzhou China 11 works
  10. 10 Shenzhen China 10 works

Where it is the local speciality

  1. Xi'anCN · 20.0 works2.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Fractal and DNA sequence analysis than the world average.

See Fractal and DNA sequence analysis on the map

Is Fractal and DNA sequence analysis research growing?

Output in 2018–2022 was 11% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Fractal and DNA sequence analysis.

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.