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Topic · Radiology, Nuclear Medicine and Imaging

COVID-19 diagnosis using AI

COVID-19 diagnosis using AI is a research topic within Radiology, Nuclear Medicine and Imaging. Science Explorer counts 28k research works in it since 1955. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of deep learning, particularly convolutional neural networks, in medical imaging for the detection and diagnosis of COVID-19, pneumonia, and other thoracic diseases using chest X-ray and CT scan images. The research explores the use of artificial intelligence, transfer learning, and image-based deep learning techniques to develop automated systems for accurate medical diagnoses.

  • Deep Learning
  • Medical Imaging
  • COVID-19
  • Convolutional Neural Networks
  • Chest X-Ray
  • Pneumonia Detection
  • Artificial Intelligence
  • Image-Based Diagnosis
  • Transfer Learning
  • CT Scan
Research works
28k
fractional, since 1955
In the world top 10%
2.8k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+86%
the tick is no change
Largest producer
India
40% of the 10 largest, 2022-now
COVID-19 diagnosis using AI

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead COVID-19 diagnosis using AI research?

By volume, India and China publish the most (4.7k and 2.4k works in 2022-now).

By volume, 2022-now

  1. 1 India 4.7k works
  2. 2 China 2.4k works
  3. 3 United States 1.7k works
  4. 4 Indonesia 579 works
  5. 5 Türkiye 513 works
  6. 6 United Kingdom 460 works
  7. 7 Saudi Arabia 379 works
  8. 8 Bangladesh 322 works
  9. 9 Pakistan 313 works
  10. 10 South Korea 288 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.

India: 39.9%China: 21.0%United States: 14.7%Indonesia: 5.0%6 others listed: 19.5%40%largest
India4,660 · 39.9%China2,447 · 21.0%United States1,715 · 14.7%Indonesia579 · 5.0%6 others listed2,274 · 19.5%

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

Which institutions lead COVID-19 diagnosis using AI research?

By volume in 2022-now, Saveetha University publishes the most COVID-19 diagnosis using AI research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.

By volume, 2022-now

  1. 1 Saveetha UniversityIndia 181 works
  2. 2 SRM Institute of Science and TechnologyIndia 171 works
  3. 3 Vellore Institute of Technology UniversityIndia 145 works
  4. 4 Chitkara UniversityIndia 100 works
  5. 5 Amrita Vishwa VidyapeethamIndia 79 works
  6. 6 Chandigarh UniversityIndia 77 works
  7. 7 Chinese Academy of SciencesChina 60 works
  8. 8 Koneru Lakshmaiah Education FoundationIndia 60 works
  9. 9 Manipal Academy of Higher EducationIndia 58 works
  10. 10 Graphic Era UniversityIndia 58 works

Who are the leading researchers in COVID-19 diagnosis using AI?

The most-cited researchers publishing on COVID-19 diagnosis using AI include Yoshua Bengio, Rob Knight and Geoffrey E. Hinton.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Rob Knight United States 468k citations
  3. 3 Geoffrey E. Hinton Canada 454k citations
  4. 4 Ross Girshick Israel 356k citations
  5. 5 Jun Wang China 340k citations
  6. 6 Xiangyu Zhang 327k citations
  7. 7 John P. A. Ioannidis United States 317k citations
  8. 8 Jian Sun 281k citations
  9. 9 Yousef Saleh Khader Jordan 274k 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 COVID-19 diagnosis using AI?

The most cited paper in COVID-19 diagnosis using AI is "La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19" (Martínez González, Marina, 2020), with 19,306 citations. Next come "A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)" (14,399) and "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning" (12,801).

Most cited papers
#PaperReleasedCitations
1 La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19 Martínez González, Marina · DSPACE System - Metalibrary (University of the Coast) Open access 2020 19,306
2 A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper) Khanam, Zeba, Achari, Vejey Pradeep Suresh, Boukhennoufa, Issam et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) Open access 2024 14,399
3 Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) Open access 12 Feb 2017 12,801
4 UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh et al. · Lecture notes in computer science Conference paperOpen access 2018 9,545
5 Review of deep learning: concepts, CNN architectures, challenges, applications, future directions Laith H. Alzubaidi, Jinglan Zhang, Amjad J. Humaidi et al. · Journal Of Big Data Open access 31 Mar 2021 7,920
All 100 most cited papers, with filters and sorting

Where is COVID-19 diagnosis using AI research done?

The largest centres of COVID-19 diagnosis using AI research in 2022-now are Chennai (India), Beijing (China), Bengaluru (India) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada, Srivilliputhur and Greater Noida.

Largest cities, 2022-now

  1. 1 ChennaiIndia 624 works
  2. 2 BeijingChina 346 works
  3. 3 BengaluruIndia 232 works
  4. 4 ShanghaiChina 211 works
  5. 5 DhakaBangladesh 206 works
  6. 6 CoimbatoreIndia 197 works
  7. 7 New DelhiIndia 185 works
  8. 8 PuneIndia 179 works
  9. 9 VelloreIndia 150 works
  10. 10 SeoulSouth Korea 137 works

Where it is the local speciality

  1. VijayawadaIN · 99.2 works13×
  2. SrivilliputhurIN · 31.6 works12×
  3. Greater NoidaIN · 111.8 works10×
  4. PulchowkNP · 32.6 works9.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in COVID-19 diagnosis using AI than the world average.

See COVID-19 diagnosis using AI on the map

Where is the best place to study COVID-19 diagnosis using AI?

Among universities, judged by research, Prince Sultan University, Princess Nourah bint Abdulrahman University and Jouf University score highest, combining citation 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 25.86%fractional works in this field (log) →share of work in the world top 10% →Jouf UniversityQatar UniversityPrince Sultan Univer…Princess Nourah bint…
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.

Citation 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
1Prince Sultan UniversitySaudi Arabia 71.232.4%7.1×11 +143.6%
2Princess Nourah bint Abdulrahman UniversitySaudi Arabia 68.625.4%5.8×22 +652.6%
3Jouf UniversitySaudi Arabia 67.233.8%5.4×10 +252.5%
4Qatar UniversityQatar 65.333.1%3.3×14 +48.9%
5King Saud UniversitySaudi Arabia 63.823.1%2.3×33 +78.3%
6King Khalid UniversitySaudi Arabia 60.323.6%2.9×16 +337.2%
7Mansoura UniversityEgypt 60.028.6%2.6×17 +78.9%
8National University of SingaporeSingapore 59.727.1%1.2×22 +64.6%
9University of LeicesterUnited Kingdom 59.626.2%3.9×16 +76.8%
10Saveetha UniversityIndia 59.05.3%12.9×181 +757.6%

Universities only. The score blends citation 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 COVID-19 diagnosis using AI, country by country

Is COVID-19 diagnosis using AI research growing?

Output in 2022-2025 was 86% higher than in 2018-2021, peaking in 2021. The fastest-growing topics are COVID-19 diagnosis using AI.

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 COVID-19 diagnosis using AI as a percentage of every work published that year, 0.067% in 2024.

still counting0.050%0.10%COVID-19 diagnosis using AI0.063% in 202519801990200020102020

Fractional works of COVID-19 diagnosis using AI 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%COVID-19 diagnosis using AI10.0% in 202520102020

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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