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Topic · Information Systems

AI and Big Data Applications

AI and Big Data Applications is a research topic within Information Systems. Science Explorer counts 3.7k research works in it since 1978. 9.8% 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 smart technology and data analytics applications, including artificial intelligence, internet of things, deep learning, wireless sensor networks, big data analytics, computer network security, virtual reality technology, cloud computing, and smart city technology. The papers explore the integration of advanced technologies in various domains such as healthcare monitoring systems, renewable energy generation, disaster response systems, intelligent transportation, education, and environmental monitoring.

  • Artificial Intelligence
  • Internet of Things
  • Data Mining
  • Deep Learning
  • Wireless Sensor Networks
  • Big Data Analytics
  • Computer Network Security
  • Virtual Reality Technology
  • Cloud Computing
  • Smart City Technology
Research works
3.7k
fractional, since 1978
In the world top 10%
361
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+106%
the tick is no change
Largest producer
China
86% of the 10 largest, 2022-now
AI and Big Data Applications

Which countries lead AI and Big Data Applications research?

By volume, China and India publish the most (1.8k and 90 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.8k works
  2. 2 India 90 works
  3. 3 ?? 49 works
  4. 4 United States 45 works
  5. 5 South Korea 29 works
  6. 6 Indonesia 20 works
  7. 7 Malaysia 19 works
  8. 8 Philippines 19 works
  9. 9 United Kingdom 15 works
  10. 10 Iraq 13 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: 86.0%India: 4.2%??: 2.3%United States: 2.1%6 others listed: 5.4%86%largest
China1,846 · 86.0%India90 · 4.2%??49 · 2.3%United States45 · 2.1%6 others listed115 · 5.4%

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

Which institutions lead AI and Big Data Applications research?

By volume in 2022-now, Shandong Institute of Commerce & Technology publishes the most AI and Big Data Applications research, followed by Wuhan Business University and Chongqing Vocational Institute of Engineering.

By volume, 2022-now

  1. 1 Shandong Institute of Commerce & TechnologyChina 18 works
  2. 2 Wuhan Business UniversityChina 16 works
  3. 3 Chongqing Vocational Institute of EngineeringChina 13 works
  4. 4 Chinese Academy of SciencesChina 13 works
  5. 5 Guangzhou Vocational College of Science and TechnologyChina 12 works
  6. 6 Nanning Normal UniversityChina 12 works
  7. 7 Guangdong Polytechnic of Science and TechnologyChina 11 works
  8. 8 Dongguan University of TechnologyChina 11 works
  9. 9 State Grid Corporation of China (China)China 11 works
  10. 10 China Southern Power Grid (China)China 10 works

Who are the leading researchers in AI and Big Data Applications?

The most-cited researchers publishing on AI and Big Data Applications include Wei Liu.

  1. 1 Wei Liu China 88k 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 AI and Big Data Applications?

The most cited paper in AI and Big Data Applications is "Comparative analysis of image classification algorithms based on traditional machine learning and deep learning" (Pin Wang, En Fan, Peng Wang, 2020), with 851 citations. Next come "A Review on Artificial Intelligence in Education" (417) and "Design of online intelligent English teaching platform based on artificial intelligence techniques" (412).

Most cited papers
#PaperReleasedCitations
1 Comparative analysis of image classification algorithms based on traditional machine learning and deep learning Pin Wang, En Fan, Peng Wang · Pattern Recognition Letters 31 Jul 2020 851
2 A Review on Artificial Intelligence in Education Jiahui Huang, Salmiza Saleh, Yufei Liu · Academic Journal of Interdisciplinary Studies Open access 10 May 2021 417
3 Design of online intelligent English teaching platform based on artificial intelligence techniques Zhuomin Sun, M. Anbarasan, Deepak Kumar · Computational Intelligence 29 Sep 2020 412
4 Deepfake detection using deep learning methods: A systematic and comprehensive review Arash Heidari, Nima Jafari Navimipour, Hasan Dağ et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery Open access 20 Nov 2023 336
5 Medical Health Big Data Classification Based on KNN Classification Algorithm Wenchao Xing, Yilin Bei · IEEE Access Open access 25 Nov 2019 329
All 89 most cited papers, with filters and sorting

Where is AI and Big Data Applications research done?

The largest centres of AI and Big Data Applications research in 2022-now are Beijing (China), Wuhan (China), Guangzhou (China) and Xi'an (China).

Largest cities, 2022-now

  1. 1 BeijingChina 117 works
  2. 2 WuhanChina 99 works
  3. 3 GuangzhouChina 90 works
  4. 4 Xi'anChina 72 works
  5. 5 JinanChina 62 works
  6. 6 ShanghaiChina 57 works
  7. 7 ChengduChina 54 works
  8. 8 ChongqingChina 54 works
  9. 9 ZhengzhouChina 51 works
  10. 10 NanjingChina 50 works
See AI and Big Data Applications on the map

Where is the best place to study AI and Big Data Applications?

Among universities, judged by research, Harbin University, Jiaozuo University and Dongguan 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%10%20%mean 7.35%fractional works in this field (log) →share of work in the world top 10% →Jiaozuo UniversityHarbin UniversityGuangzhou Vocational…Dongguan University …
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
1Harbin UniversityChina 65.118.7%82.8×9 +127.8%
2Jiaozuo UniversityChina 63.519.6%139.0×8 +153.6%
3Dongguan University of TechnologyChina 59.34.8%31.2×11 +410.5%
4Guangzhou Vocational College of Science and TechnologyChina 52.06.0%106.2×12 +328.2%
5Shandong Institute of Commerce & TechnologyChina 50.00.3%214.4×18 +507.1%
6Wuhan Business UniversityChina 49.50.4%105.8×16 +151.5%
7Chongqing Vocational Institute of EngineeringChina 47.25.0%122.4×13 +8.9%
8Henan Forestry Vocational CollegeChina 46.79.9%142.5×9 +634.9%
9Zhengzhou UniversityChina 44.17.6%4.1×9 +122.7%
10Guangdong Polytechnic of Science and TechnologyChina 43.41.2%116.7×11 +521.3%

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 AI and Big Data Applications, country by country

Is AI and Big Data Applications research growing?

Output in 2022-2025 was 106% higher than in 2018-2021, peaking in 2022. The fastest-growing topics are AI and Big Data 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 AI and Big Data Applications as a percentage of every work published that year, 0.0079% in 2024.

still counting0.010%0.020%AI and Big Data Applications0.0060% in 202519801990200020102020

Fractional works of AI and Big Data 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%AI and Big Data Applications10.1% in 20252020

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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