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Advanced Decision-Making Techniques

Advanced Decision-Making Techniques is a research topic within Information Systems. Science Explorer counts 35k research works in it since 1951. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of spatial data mining techniques, cloud models, and advanced technologies such as process neural networks, fuzzy neural networks, virtual reality simulation, and 3D laser scanning in various domains. It also encompasses research on information security risk assessment, network security evaluation, and GIS data mining using quantitative and qualitative research methods.

  • Spatial Data Mining
  • Cloud Model
  • Information Security Risk Assessment
  • Process Neural Networks
  • Fuzzy Neural Network
  • Virtual Reality Simulation
  • Network Security Evaluation
  • 3D Laser Scanning
  • GIS Data Mining
  • Quantitative and Qualitative Research
Research works
35k
fractional, since 1951
In the world top 10%
3.4k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+84%
the tick is no change
Largest producer
China
87% of the 10 largest, 2022-now
Advanced Decision-Making Techniques

Which countries lead Advanced Decision-Making Techniques research?

By volume, China and India publish the most (2.3k and 74 works in 2022-now).

By volume, 2022-now

  1. 1 China 2.3k works
  2. 2 India 74 works
  3. 3 United States 73 works
  4. 4 ?? 51 works
  5. 5 Japan 31 works
  6. 6 United Kingdom 26 works
  7. 7 Indonesia 26 works
  8. 8 South Korea 19 works
  9. 9 Russia 17 works
  10. 10 Taiwan 14 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: 87.3%India: 2.8%United States: 2.8%??: 2.0%6 others listed: 5.1%87%largest
China2,279 · 87.3%India74 · 2.8%United States73 · 2.8%??51 · 2.0%6 others listed133 · 5.1%

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

Which institutions lead Advanced Decision-Making Techniques research?

By volume in 2022-now, State Grid Corporation of China (China) publishes the most Advanced Decision-Making Techniques research, followed by China Southern Power Grid (China) and Shanghai Electric (China).

Who are the leading researchers in Advanced Decision-Making Techniques?

The most-cited researchers publishing on Advanced Decision-Making Techniques include Jian Sun, Xiaogang Wang and Kai You Wang.

  1. 1 Jian Sun 281k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Kai You Wang China 224k citations
  4. 4 Hua Zhang Singapore 196k citations
  5. 5 Qiang Zhang China 184k citations
  6. 6 Han Zhang China 161k citations
  7. 7 Huan Liu Australia 148k 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 Decision-Making Techniques?

The most cited paper in Advanced Decision-Making Techniques is "A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix" (Whitney K. Newey, Kenneth D. West, 1987), with 17,610 citations. Next come "Review of the main developments in the analytic hierarchy process" (1,236) and "Development and Application of Artificial Neural Network" (802).

Most cited papers
#PaperReleasedCitations
1 A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Whitney K. Newey, Kenneth D. West · Econometrica May 1987 17,610
2 Review of the main developments in the analytic hierarchy process Alessio Ishizaka, Ashraf Labib · Expert Systems with Applications May 2011 1,236
3 Development and Application of Artificial Neural Network Yuchen Wu, Junwen Feng · Wireless Personal Communications 30 Dec 2017 802
4 A new cognitive model: Cloud model Deyi Li, Changyu Liu, Wenyan Gan · International Journal of Intelligent Systems Open access 28 Jan 2009 754
5 Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making XU Ze-shui · Kongzhi yu juece 2007 681
All 100 most cited papers, with filters and sorting

Where is Advanced Decision-Making Techniques research done?

The largest centres of Advanced Decision-Making Techniques research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China).

Largest cities, 2022-now

  1. 1 BeijingChina 430 works
  2. 2 ShanghaiChina 140 works
  3. 3 NanjingChina 129 works
  4. 4 Xi'anChina 129 works
  5. 5 WuhanChina 111 works
  6. 6 GuangzhouChina 110 works
  7. 7 ChengduChina 82 works
  8. 8 TianjinChina 63 works
  9. 9 ChangshaChina 59 works
  10. 10 ChongqingChina 59 works
See Advanced Decision-Making Techniques on the map

Where is the best place to study Advanced Decision-Making Techniques?

Among universities, judged by research, Northwestern Polytechnical University, Nanjing University of Aeronautics and Astronautics and North China Electric Power 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%10%20%30%mean 17.69%fractional works in this field (log) →share of work in the world top 10% →Nanjing University o…Northwestern Polytec…Nanjing University o…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
1Northwestern Polytechnical UniversityChina 80.424.7%9.5×26 +71.9%
2Nanjing University of Aeronautics and AstronauticsChina 73.210.8%14.9×31 +274.5%
3North China Electric Power UniversityChina 69.65.0%24.8×39 +15.3%
4Nanjing University of Information Science and TechnologyChina 69.226.7%8.4×8 +89.7%
5Chongqing UniversityChina 63.517.3%5.7×15 +91.7%
6Huazhong University of Science and TechnologyChina 63.219.1%3.4×15 +139.6%
7China University of Mining and TechnologyChina 61.626.3%5.3×10 +91.2%
8Shandong University of Science and TechnologyChina 60.218.0%12.4×14 +82.1%
9Dalian University of TechnologyChina 60.116.9%5.2×12 +222.0%
10Beijing Jiaotong UniversityChina 59.012.1%11.2×16 +31.5%

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 Decision-Making Techniques, country by country

Is Advanced Decision-Making Techniques research growing?

Output in 2022-2025 was 84% higher than in 2018-2021, peaking in 2010. The fastest-growing topics are Advanced Decision-Making Techniques.

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 Decision-Making Techniques as a percentage of every work published that year, 0.020% in 2024.

still counting0.050%0.10%0.15%Advanced Decision-Making Techniques0.014% in 202519801990200020102020

Fractional works of Advanced Decision-Making Techniques 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 Decision-Making Techniques9.9% 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.

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