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Advanced Data and IoT Technologies

Advanced Data and IoT Technologies is a research topic within Electrical and Electronic Engineering. Science Explorer counts 4.4k research works in it since 1999. 9.9% 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 advancements in wireless communication technologies, including 5G, IoT, big data, deep learning, edge computing, security, artificial intelligence, and their applications in smart cities and telecom operations.

  • 5G
  • IoT
  • Big Data
  • Deep Learning
  • Edge Computing
  • Telecom Operator
  • Internet of Things
  • Security
  • Artificial Intelligence
  • Smart Cities
Research works
4.4k
fractional, since 1999
In the world top 10%
435
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+359%
the tick is no change
Largest producer
China
61% of the 10 largest, 2022-now
Advanced Data and IoT Technologies

Which countries lead Advanced Data and IoT Technologies research?

By volume, China and India publish the most (1.8k and 678 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.8k works
  2. 2 India 678 works
  3. 3 United States 179 works
  4. 4 South Korea 55 works
  5. 5 ?? 55 works
  6. 6 United Kingdom 54 works
  7. 7 Saudi Arabia 47 works
  8. 8 Canada 46 works
  9. 9 Indonesia 43 works
  10. 10 Japan 35 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: 60.8%India: 22.3%United States: 5.9%South Korea: 1.8%6 others listed: 9.2%61%largest
China1,849 · 60.8%India678 · 22.3%United States179 · 5.9%South Korea55 · 1.8%6 others listed280 · 9.2%

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

Which institutions lead Advanced Data and IoT Technologies research?

By volume in 2022-now, State Grid Corporation of China (China) publishes the most Advanced Data and IoT Technologies research, followed by China Southern Power Grid (China) and China United Network Communications Group (China).

Who are the leading researchers in Advanced Data and IoT Technologies?

The most-cited researchers publishing on Advanced Data and IoT Technologies include H. Vincent Poor and Zhou Wang.

  1. 1 H. Vincent Poor United States 165k citations
  2. 2 Zhou Wang Canada 104k 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 Data and IoT Technologies?

The most cited paper in Advanced Data and IoT Technologies is "A survey of the recent architectures of deep convolutional neural networks" (Asifullah Khan, Anabia Sohail, Umme Zahoora et al., 2020), with 2,549 citations. Next come "Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks" (1,362) and "A review: Data pre-processing and data augmentation techniques" (1,310).

Most cited papers
#PaperReleasedCitations
1 A survey of the recent architectures of deep convolutional neural networks Asifullah Khan, Anabia Sohail, Umme Zahoora et al. · Artificial Intelligence Review Open access 21 Apr 2020 2,549
2 Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks Ali Narin, Ceren Kaya, Ziynet Pamuk · Pattern Analysis and Applications Open access 9 May 2021 1,362
3 A review: Data pre-processing and data augmentation techniques Kiran Kishor Maharana, Surajit Kumar Mondal, Bhushankumar Nemade · Global Transitions Proceedings Open access 3 Apr 2022 1,310
4 Deep Reinforcement Learning Based Resource Allocation for V2V Communications Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang · IEEE Transactions on Vehicular Technology Open access 4 Feb 2019 880
5 Accuracy measures: theoretical and practical concerns Spyros Makridakis · International Journal of Forecasting Dec 1993 877
All 100 most cited papers, with filters and sorting

Where is Advanced Data and IoT Technologies research done?

The largest centres of Advanced Data and IoT Technologies research in 2022-now are Beijing (China), Shanghai (China), Guangzhou (China) and Chennai (India).

Largest cities, 2022-now

  1. 1 BeijingChina 394 works
  2. 2 ShanghaiChina 107 works
  3. 3 GuangzhouChina 99 works
  4. 4 ChennaiIndia 93 works
  5. 5 NanjingChina 92 works
  6. 6 Xi'anChina 73 works
  7. 7 WuhanChina 69 works
  8. 8 ChengduChina 51 works
  9. 9 TianjinChina 46 works
  10. 10 ChangshaChina 44 works
See Advanced Data and IoT Technologies on the map

Where is the best place to study Advanced Data and IoT Technologies?

Among universities, judged by research, Saveetha University, Southeast University and Vellore Institute of Technology 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%mean 14.17%fractional works in this field (log) →share of work in the world top 10% →Southeast UniversitySaveetha UniversityVellore Institute of…Beijing University o…
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
1Saveetha UniversityIndia 76.314.6%7.8×23 -
2Southeast UniversityChina 72.818.9%2.8×13 +367.4%
3Vellore Institute of Technology UniversityIndia 66.313.2%5.8×18 +215.6%
4Beijing University of Posts and TelecommunicationsChina 65.98.5%17.0×33 +141.9%
5SRM Institute of Science and TechnologyIndia 65.210.8%7.4×23 +1017.9%
6University of Electronic Science and Technology of ChinaChina 65.215.3%3.9×13 +242.9%
7Chitkara UniversityIndia 62.114.2%10.0×12 -
8Xidian UniversityChina 61.415.9%4.5×10 +417.7%
9Graphic Era UniversityIndia 60.215.7%9.2×10 -
10Chongqing University of Posts and TelecommunicationsChina 58.714.6%13.7×12 +405.0%

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 Data and IoT Technologies, country by country

Is Advanced Data and IoT Technologies research growing?

Output in 2022-2025 was 359% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Advanced Data and IoT Technologies.

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 Data and IoT Technologies as a percentage of every work published that year, 0.0073% in 2024.

still counting0.010%0.020%0.030%Advanced Data and IoT Technologies0.023% in 202519801990200020102020

Fractional works of Advanced Data and IoT Technologies 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 Data and IoT Technologies9.8% 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.

Discussion

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