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Advanced Computational Techniques and Applications

Advanced Computational Techniques and Applications is a research topic within Artificial Intelligence. Science Explorer counts 89k research works in it since 1950. 9.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers a wide range of topics related to artificial intelligence, expert systems, machine learning, control systems, fault diagnosis, ontology, and spatial information. It explores applications such as wavelet analysis, bioenergy, small business strategies, and multidisciplinary design optimization. The papers also delve into topics like language, logic, fluid mechanics, and marine data services.

  • Expert Systems
  • Wavelet Analysis
  • Machine Learning
  • Ontology
  • Control Systems
  • Fault Diagnosis
  • Semantic Knowledge Base
  • Spatial Information
  • Data Integration
  • Intelligent Systems
Research works
89k
fractional, since 1950
In the world top 10%
8.5k
per year above
Top-10% rate
9.6%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+44%
the tick is no change
Largest producer
China
75% of the 10 largest, 2022-now
Advanced Computational Techniques and Applications

Which countries lead Advanced Computational Techniques and Applications research?

By volume, China and the United States publish the most (2.8k and 253 works in 2022-now).

By volume, 2022-now

  1. 1 China 2.8k works
  2. 2 United States 253 works
  3. 3 India 180 works
  4. 4 Russia 126 works
  5. 5 Indonesia 91 works
  6. 6 ?? 71 works
  7. 7 Japan 57 works
  8. 8 Germany 41 works
  9. 9 United Kingdom 41 works
  10. 10 Ukraine 39 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: 75.4%United States: 6.9%India: 4.9%Russia: 3.5%6 others listed: 9.3%75%largest
China2,758 · 75.4%United States253 · 6.9%India180 · 4.9%Russia126 · 3.5%6 others listed339 · 9.3%

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

Which institutions lead Advanced Computational Techniques and Applications research?

By volume in 2022-now, State Grid Corporation of China (China) publishes the most Advanced Computational Techniques and Applications research, followed by Chinese Academy of Sciences and China Southern Power Grid (China).

Who are the leading researchers in Advanced Computational Techniques and Applications?

The most-cited researchers publishing on Advanced Computational Techniques and Applications include Xiangyu Zhang, Jian Sun and Xiaogang Wang.

  1. 1 Xiangyu Zhang 327k citations
  2. 2 Jian Sun 281k citations
  3. 3 Xiaogang Wang China 260k citations
  4. 4 Li Fei-Fei United States 225k citations
  5. 5 Kai You Wang China 224k 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 Advanced Computational Techniques and Applications?

The most cited paper in Advanced Computational Techniques and Applications is "Linear logic" (Jean-Yves Girard, 1987), with 4,129 citations. Next come "Fundamentals of Database Systems" (3,148) and "A Review on Evaluation Metrics for Data Classification Evaluations" (2,729).

Most cited papers
#PaperReleasedCitations
1 Linear logic Jean-Yves Girard · Theoretical Computer Science Open access 1987 4,129
2 Fundamentals of Database Systems Ramez A. Elmasri, Shamkant B. Navathe 1989 3,148
3 A Review on Evaluation Metrics for Data Classification Evaluations Md Ekrim Hossin, Sulaiman M.N · International Journal of Data Mining & Knowledge Management Process Open access 31 Mar 2015 2,729
4 Variable precision rough set model Wojciech Ziarko · Journal of Computer and System Sciences Open access Feb 1993 2,037
5 The SSN ontology of the W3C semantic sensor network incubator group Michael Compton et al. · Journal of Web Semantics Open access 18 Jun 2012 1,419
All 100 most cited papers, with filters and sorting

Where is Advanced Computational Techniques and Applications research done?

The largest centres of Advanced Computational Techniques and Applications research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Hohhot.

Largest cities, 2022-now

  1. 1 BeijingChina 662 works
  2. 2 ShanghaiChina 173 works
  3. 3 NanjingChina 150 works
  4. 4 WuhanChina 125 works
  5. 5 GuangzhouChina 121 works
  6. 6 Xi'anChina 115 works
  7. 7 ChengduChina 84 works
  8. 8 ChangshaChina 71 works
  9. 9 JinanChina 59 works
  10. 10 TianjinChina 56 works

Where it is the local speciality

  1. HohhotCN · 24.9 works7.5×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Computational Techniques and Applications than the world average.

See Advanced Computational Techniques and Applications on the map

Where is the best place to study Advanced Computational Techniques and Applications?

Among universities, judged by research, Tsinghua University, North China Electric Power University and Wuhan 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%mean 17.71%fractional works in this field (log) →share of work in the world top 10% →Wuhan UniversityTsinghua UniversityChina University of …North China Electric…
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
1Tsinghua UniversityChina 74.929.0%2.0×16 +16.5%
2North China Electric Power UniversityChina 73.25.9%13.6×32 +64.6%
3Wuhan UniversityChina 62.829.8%3.1×16 -13.8%
4China University of GeosciencesChina 61.317.0%9.1×15 +242.2%
5Beihang UniversityChina 61.112.3%5.0×20 +73.1%
6Beijing University of Posts and TelecommunicationsChina 60.810.1%8.2×19 +61.5%
7Hohai UniversityChina 59.517.7%7.3×15 +60.1%
8Wuhan University of TechnologyChina 59.317.9%5.6×16 +51.1%
9Shandong UniversityChina 58.617.4%2.6×12 +43.3%
10Southeast UniversityChina 58.520.0%2.7×14 +193.8%

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 Advanced Computational Techniques and Applications, country by country

Is Advanced Computational Techniques and Applications research growing?

Output in 2022-2025 was 44% higher than in 2018-2021, peaking in 2009. The fastest-growing topics are Advanced Computational Techniques and Applications.

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 Advanced Computational Techniques and Applications as a percentage of every work published that year, 0.029% in 2024.

still counting0.20%0.40%Advanced Computational Techniques and Applications0.021% in 202519801990200020102020

Fractional works of Advanced Computational Techniques and Applications 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%Advanced Computational Techniques and Applications9.7% 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.

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