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RFID technology advancements

RFID technology advancements is a research topic within Media Technology. Science Explorer counts 15k research works in it since 1950. 21.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores RFID technology and its applications in various domains such as supply chain management, security, privacy, and wireless sensor networks. It covers topics including antenna design, authentication protocols, inventory management, and the impact of RFID on supply chain operations.

  • RFID
  • Security
  • Privacy
  • Supply Chain
  • Antenna Design
  • Authentication Protocol
  • Inventory Management
  • Wireless Sensor Networks
  • EPC Network
  • Near Field Communication
Research works
15k
fractional, since 1950
In the world top 10%
3.3k
per year above
Top-10% rate
21.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-11%
the tick is no change

Which countries lead RFID technology advancements research?

By volume, China and India publish the most (591 and 363 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 591 works
  2. 2 India 363 works
  3. 3 United States 243 works
  4. 4 Italy 105 works
  5. 5 France 83 works
  6. 6 Malaysia 81 works
  7. 7 Germany 80 works
  8. 8 Japan 77 works
  9. 9 Indonesia 67 works
  10. 10 United Kingdom 64 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: 33.7%India: 20.7%United States: 13.9%Italy: 6.0%6 others listed: 25.8%34%largest
China591 · 33.7%India363 · 20.7%United States243 · 13.9%Italy105 · 6.0%6 others listed453 · 25.8%

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

Which institutions lead RFID technology advancements research?

By volume in 2022–2025, Saveetha University publishes the most RFID technology advancements research, followed by University of Pisa and University of Electronic Science and Technology of China.

By volume, 2022–2025

  1. 1 Saveetha University India 26 works
  2. 2 University of Pisa Italy 21 works
  3. 3 University of Electronic Science and Technology of China China 17 works
  4. 4 University of Rome Tor Vergata Italy 15 works
  5. 5 Tongji University China 14 works
  6. 6 Harbin Institute of Technology China 13 works
  7. 7 Xidian University China 12 works
  8. 8 Nanjing University of Posts and Telecommunications China 11 works
  9. 9 National Institute of Technology Rourkela India 11 works
  10. 10 Zhejiang University China 11 works

Who are the leading researchers in RFID technology advancements?

The most-cited researchers publishing on RFID technology advancements include Fei–Yue Wang, Victor C. M. Leung and Ke Wu.

  1. 1 Fei–Yue Wang 4.2k citations
  2. 2 Victor C. M. Leung 3.7k citations
  3. 3 Ke Wu 3.2k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is RFID technology advancements research done?

The largest centres of RFID technology advancements research in 2022–2025 are Beijing (China), Shanghai (China), Chennai (India) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Pisa.

Largest cities, 2022–2025

  1. 1 Beijing China 96 works
  2. 2 Shanghai China 48 works
  3. 3 Chennai India 48 works
  4. 4 Nanjing China 47 works
  5. 5 Xi'an China 43 works
  6. 6 Guangzhou China 35 works
  7. 7 Chengdu China 34 works
  8. 8 Tokyo Japan 31 works
  9. 9 Tianjin China 25 works
  10. 10 Rome Italy 24 works

Where it is the local speciality

  1. PisaIT · 21.9 works11×
← less than its size predictsmore →

Location quotient: how much more of its research is in RFID technology advancements than the world average.

See RFID technology advancements on the map

Where is the best place to study RFID technology advancements?

Among universities, judged by research, Universiti Tunku Abdul Rahman, University of Pisa and Saveetha 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 14.95%fractional works in this node (log) →share in the world top 10% →Universiti Tunku Abdul Rahman: 9, 43.7%University of Pisa: 21, 9.5%Saveetha University: 26, 1.5%Université Grenoble Alpes: 9, 7.4%University of Rome Tor Vergata: 15, 10.4%National Institute of Technology Rourkela: 11, 11.7%Tongji University: 14, 18.4%Nanjing University of Posts and Telecommunications: 11, 9.5%Xidian University: 12, 21.1%University of Electronic Science and Technology of China: 17, 16.3%Universiti Tunku Abd…University of PisaUniversité Grenoble …Saveetha University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Universiti Tunku Abdul Rahman Malaysia 65.843.7%31.0×9
2University of Pisa Italy 58.49.5%18.1×21 +98.3%
3Saveetha University India 53.91.5%11.0×26
4Université Grenoble Alpes France 49.47.4%11.2×9 +176.9%
5University of Rome Tor Vergata Italy 47.010.4%19.6×15 -16.0%
6National Institute of Technology Rourkela India 44.311.7%19.7×11
7Tongji University China 41.318.4%4.4×14 +114.9%
8Nanjing University of Posts and Telecommunications China 41.09.5%10.7×11 +21.9%
9Xidian University China 39.321.1%6.8×12 -9.0%
10University of Electronic Science and Technology of China China 39.016.3%6.0×17 -16.0%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is RFID technology advancements research growing?

Output in 2018–2022 was 11% lower than in 2013–2017, peaking in 2012. The fastest-growing topics are RFID technology advancements.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

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.