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Digital Media and Visual Art

Digital Media and Visual Art is a research topic within Computer Graphics and Computer-Aided Design. Science Explorer counts 31k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the innovations and applications of visual communication design, digital media technology, and artificial intelligence in various fields such as art, education, urban landscape design, and animation. It explores the intersection of technology and design, including topics like interactive design, virtual reality, multimedia technology, and the impact of color research on graphic design.

  • Visual Communication Design
  • Digital Media Technology
  • Artificial Intelligence
  • Interactive Design
  • Animation
  • Human-Computer Interaction
  • Virtual Reality
  • Multimedia Technology
  • Color Research
  • Graphic Design
Research works
31k
fractional, since 1950
In the world top 10%
3k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+86%
the tick is no change
Largest producer
China
66% of the 10 largest, 2022-now

Which countries lead Digital Media and Visual Art research?

By volume, China and Indonesia publish the most (5.1k and 487 works in 2022-now).

By volume, 2022-now

  1. 1 China 5.1k works
  2. 2 Indonesia 487 works
  3. 3 Malaysia 403 works
  4. 4 United States 377 works
  5. 5 India 276 works
  6. 6 Russia 261 works
  7. 7 South Korea 225 works
  8. 8 Türkiye 212 works
  9. 9 Ukraine 202 works
  10. 10 Thailand 174 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: 66.2%Indonesia: 6.3%Malaysia: 5.2%United States: 4.9%6 others listed: 17.5%66%largest
China5,119 · 66.2%Indonesia487 · 6.3%Malaysia403 · 5.2%United States377 · 4.9%6 others listed1,350 · 17.5%

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

Which institutions lead Digital Media and Visual Art research?

By volume in 2022-now, Wuhan Textile University publishes the most Digital Media and Visual Art research, followed by Anhui University of Finance and Economics and Universiti Teknologi MARA.

Who are the leading researchers in Digital Media and Visual Art?

The most-cited researchers publishing on Digital Media and Visual Art include Xiaogang Wang and Han Zhang.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Han Zhang China 161k 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 Digital Media and Visual Art?

The most cited paper in Digital Media and Visual Art is "Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network" (Lisheng Wei, Kun Ding, Huosheng Hu, 2020), with 262 citations. Next come "HOW TO SEE A WORK OF ART IN TOTAL DARKNESS" (250) and "A History of Art Education: Intellectual and Social Currents in Teaching the Visual Arts" (236).

Most cited papers
#PaperReleasedCitations
1 Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network Lisheng Wei, Kun Ding, Huosheng Hu · IEEE Access Open access 2020 262
2 HOW TO SEE A WORK OF ART IN TOTAL DARKNESS Sarah Elizabeth Lewis · Nka Journal of Contemporary African Art May 2008 250
3 A History of Art Education: Intellectual and Social Currents in Teaching the Visual Arts Stephen Dobbs, Arthur D. Efland · Journal of Aesthetics and Art Criticism 1991 236
4 Artificial Intelligence, Artists, and Art Joo-Wha Hong, Nathaniel Ming Curran · ACM Transactions on Multimedia Computing Communications and Applications 30 Apr 2019 209
5 Postmodern Principles: In Search of a 21st Century Art Education Olivia Gude · Art Education 2004 205
All 97 most cited papers, with filters and sorting

Where is Digital Media and Visual Art research done?

The largest centres of Digital Media and Visual Art research in 2022-now are Beijing (China), Wuhan (China), Shanghai (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Jingdezhen and Bengbu.

Largest cities, 2022-now

  1. 1 BeijingChina 452 works
  2. 2 WuhanChina 432 works
  3. 3 ShanghaiChina 234 works
  4. 4 GuangzhouChina 226 works
  5. 5 Xi'anChina 222 works
  6. 6 ShenyangChina 183 works
  7. 7 NanjingChina 147 works
  8. 8 ChengduChina 140 works
  9. 9 HangzhouChina 138 works
  10. 10 JinanChina 132 works

Where it is the local speciality

  1. JingdezhenCN · 70.6 works118×
  2. BengbuCN · 106.4 works46×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Digital Media and Visual Art than the world average.

See Digital Media and Visual Art on the map

Where is the best place to study Digital Media and Visual Art?

Among universities, judged by research, Shaanxi University of Science and Technology, Macau University of Science and Technology and Hubei University 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 18.64%fractional works in this field (log) →share of work in the world top 10% →Shaanxi University o…Macau University of …Hubei University of …Universiti Teknologi…
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
1Shaanxi University of Science and TechnologyChina 64.825.6%10.5×20 +349.7%
2Macau University of Science and TechnologyChina 60.819.5%11.9×20 +243.3%
3Hubei University of TechnologyChina 60.28.4%45.8×89 +372.6%
4Universiti Teknologi MARAMalaysia 59.96.5%15.7×95 +359.3%
5City University MalaysiaMalaysia 59.717.8%148.4×48 -
6Wuhan Textile UniversityChina 58.15.6%113.1×135 +360.5%
7Hong Kong Polytechnic UniversityChina 57.223.5%1.2×9 +72.9%
8Universiti Sains MalaysiaMalaysia 56.516.4%5.5×29 +609.1%
9Kookmin UniversitySouth Korea 56.023.8%18.7×14 +961.5%
10Ningbo UniversityChina 55.839.3%1.6×8 +433.3%

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 Digital Media and Visual Art, country by country

Is Digital Media and Visual Art research growing?

Output in 2022-2025 was 86% higher than in 2018-2021, peaking in 2023. The fastest-growing topics are Digital Media and Visual Art.

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 Digital Media and Visual Art as a percentage of every work published that year, 0.045% in 2024.

still counting0.020%0.040%0.060%Digital Media and Visual Art0.032% in 202519801990200020102020

Fractional works of Digital Media and Visual Art 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%Digital Media and Visual Art9.9% 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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