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Topic · Safety, Risk, Reliability and Quality

Fire Detection and Safety Systems

Fire Detection and Safety Systems is a research topic within Safety, Risk, Reliability and Quality. Science Explorer counts 17k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, and unmanned aerial vehicle (UAV) based systems. The research covers a wide range of methods including convolutional neural networks, statistical color models, multi-feature fusion, and IoT-based intelligent modeling for fire prevention and safety.

  • Computer Vision
  • Fire Detection
  • Smoke Detection
  • Convolutional Neural Networks
  • Video Surveillance
  • Forest Fire Monitoring
  • Unmanned Aerial Vehicles
  • Image Processing
  • Real-Time Detection
  • IoT-Based Systems
Research works
17k
fractional, since 1950
In the world top 10%
1.7k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+117%
the tick is no change
Largest producer
China
48% of the 10 largest, 2022-now
Fire Detection and Safety Systems

Which countries lead Fire Detection and Safety Systems research?

By volume, China and India publish the most (2.8k and 1.5k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.8k works
  2. 2 India 1.5k works
  3. 3 United States 511 works
  4. 4 Indonesia 238 works
  5. 5 South Korea 208 works
  6. 6 ?? 148 works
  7. 7 Türkiye 116 works
  8. 8 Japan 104 works
  9. 9 Malaysia 97 works
  10. 10 Canada 93 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: 48.1%India: 25.5%United States: 8.9%Indonesia: 4.1%6 others listed: 13.4%48%largest
China2,761 · 48.1%India1,464 · 25.5%United States511 · 8.9%Indonesia238 · 4.1%6 others listed767 · 13.4%

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

Which institutions lead Fire Detection and Safety Systems research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Fire Detection and Safety Systems research, followed by SRM Institute of Science and Technology and Saveetha University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 63 works
  2. 2 SRM Institute of Science and TechnologyIndia 59 works
  3. 3 Saveetha UniversityIndia 56 works
  4. 4 China University of Mining and TechnologyChina 50 works
  5. 5 Vellore Institute of Technology UniversityIndia 45 works
  6. 6 University of Science and Technology of ChinaChina 43 works
  7. 7 Amrita Vishwa VidyapeethamIndia 37 works
  8. 8 Ministry of Public Security of the People's Republic of ChinaChina 34 works
  9. 9 Savitribai Phule Pune UniversityIndia 34 works
  10. 10 Tribhuvan UniversityNepal 32 works

Who are the leading researchers in Fire Detection and Safety Systems?

The most-cited researchers publishing on Fire Detection and Safety Systems include Xiaogang Wang, Lídia Morawska and Philippe Ciais.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Lídia Morawska Australia 244k citations
  3. 3 Philippe Ciais France 237k citations
  4. 4 Kai You Wang China 224k citations
  5. 5 Luc Van Gool Switzerland 177k citations
  6. 6 Francisco Herrera Spain 141k 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 Fire Detection and Safety Systems?

The most cited paper in Fire Detection and Safety Systems is "Fully-Convolutional Siamese Networks for Object Tracking" (Luca Bertinetto, Jack Valmadre, João F. Henriques et al., 2016), with 4,443 citations. Next come "High Performance Visual Tracking with Siamese Region Proposal Network" (3,035) and "GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild" (1,860).

Most cited papers
#PaperReleasedCitations
1 Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto, Jack Valmadre, João F. Henriques et al. · Lecture notes in computer science Conference paper 2016 4,443
2 High Performance Visual Tracking with Siamese Region Proposal Network Bo Hu Li, Junjie Yan, Wei Wu et al. Conference paper Jun 2018 3,035
3 GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild Lianghua Huang, Xin Bo Zhao, Kaiqi Huang · IEEE Transactions on Pattern Analysis and Machine Intelligence Open access 4 Dec 2019 1,860
4 An Enhanced Contextual Fire Detection Algorithm for MODIS Louis Giglio, Jacques Descloitres, Christopher O. Justice et al. · Remote Sensing of Environment Oct 2003 1,855
5 Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4) Louis Giglio, James T. Randerson, Guido R. van der Werf · Journal of Geophysical Research Biogeosciences Open access Mar 2013 1,770
All 100 most cited papers, with filters and sorting

Where is Fire Detection and Safety Systems research done?

The largest centres of Fire Detection and Safety Systems research in 2022-now are Beijing (China), Chennai (India), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Pulchowk.

Largest cities, 2022-now

  1. 1 BeijingChina 439 works
  2. 2 ChennaiIndia 232 works
  3. 3 NanjingChina 153 works
  4. 4 Xi'anChina 151 works
  5. 5 ShanghaiChina 137 works
  6. 6 WuhanChina 129 works
  7. 7 ChengduChina 109 works
  8. 8 CoimbatoreIndia 101 works
  9. 9 PuneIndia 89 works
  10. 10 HefeiChina 89 works

Where it is the local speciality

  1. PulchowkNP · 24.0 works16×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Fire Detection and Safety Systems than the world average.

See Fire Detection and Safety Systems on the map

Where is the best place to study Fire Detection and Safety Systems?

Among universities, judged by research, Gachon University, Nanjing Forestry University and Hong Kong Polytechnic 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 25.29%fractional works in this field (log) →share of work in the world top 10% →Gachon UniversityNanjing Forestry Uni…Sejong UniversityHong Kong Polytechni…
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
1Gachon UniversitySouth Korea 69.443.2%8.8×13 +335.4%
2Nanjing Forestry UniversityChina 69.140.1%5.9×17 +317.2%
3Hong Kong Polytechnic UniversityChina 68.733.8%4.2×23 +149.1%
4Sejong UniversitySouth Korea 68.635.4%8.5×10 +283.5%
5University of Science and Technology of ChinaChina 63.018.5%5.7×43 +38.8%
6China University of Mining and TechnologyChina 62.116.2%10.1×50 +144.5%
7Saveetha UniversityIndia 60.48.7%9.3×56 +1793.0%
8SRM Institute of Science and TechnologyIndia 57.76.7%9.2×59 +211.7%
9Southeast UniversityChina 57.428.3%2.4×22 +72.3%
10Xi'an University of Science and TechnologyChina 55.622.0%19.3×28 +79.2%

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 Fire Detection and Safety Systems, country by country

Is Fire Detection and Safety Systems research growing?

Output in 2022-2025 was 117% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Fire Detection and Safety Systems.

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 Fire Detection and Safety Systems as a percentage of every work published that year, 0.037% in 2024.

still counting0.020%0.040%Fire Detection and Safety Systems0.035% in 202519801990200020102020

Fractional works of Fire Detection and Safety Systems 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%Fire Detection and Safety Systems10.0% 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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