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Topic · Industrial and Manufacturing Engineering

Industrial Vision Systems and Defect Detection

Industrial Vision Systems and Defect Detection is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 48k 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 application of machine vision, texture analysis, and deep learning techniques for the automated detection and classification of fabric defects in industrial settings, particularly in semiconductor manufacturing. The research covers various methods such as Gabor filters, wafer map defect classification, and virtual metrology to enhance the accuracy and efficiency of fabric defect detection systems.

  • Fabric Defect Detection
  • Machine Vision
  • Texture Analysis
  • Semiconductor Manufacturing
  • Deep Learning
  • Wafer Map Defect Classification
  • Gabor Filters
  • Automated Inspection
  • Surface Defect Detection
  • Virtual Metrology
Research works
48k
fractional, since 1950
In the world top 10%
4.8k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+127%
the tick is no change
Largest producer
China
61% of the 10 largest, 2022-now
Industrial Vision Systems and Defect Detection

Which countries lead Industrial Vision Systems and Defect Detection research?

By volume, China and India publish the most (8.4k and 1.4k works in 2022-now).

By volume, 2022-now

  1. 1 China 8.4k works
  2. 2 India 1.4k works
  3. 3 United States 1.2k works
  4. 4 Germany 551 works
  5. 5 South Korea 536 works
  6. 6 Japan 512 works
  7. 7 Taiwan 401 works
  8. 8 United Kingdom 311 works
  9. 9 Indonesia 299 works
  10. 10 Türkiye 281 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: 60.5%India: 9.9%United States: 8.8%Germany: 4.0%6 others listed: 16.8%61%largest
China8,429 · 60.5%India1,383 · 9.9%United States1,227 · 8.8%Germany551 · 4.0%6 others listed2,340 · 16.8%

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

Which institutions lead Industrial Vision Systems and Defect Detection research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Industrial Vision Systems and Defect Detection research, followed by Zhejiang University and Northeastern University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 193 works
  2. 2 Zhejiang UniversityChina 105 works
  3. 3 Northeastern UniversityChina 102 works
  4. 4 Huazhong University of Science and TechnologyChina 97 works
  5. 5 Shanghai Jiao Tong UniversityChina 90 works
  6. 6 Xi'an Jiaotong UniversityChina 86 works
  7. 7 Tsinghua UniversityChina 84 works
  8. 8 Beihang UniversityChina 82 works
  9. 9 Wuhan University of TechnologyChina 77 works
  10. 10 Harbin Institute of TechnologyChina 75 works

Who are the leading researchers in Industrial Vision Systems and Defect Detection?

The most-cited researchers publishing on Industrial Vision Systems and Defect Detection include Geoffrey E. Hinton, Xiangyu Zhang and Xiaogang Wang.

  1. 1 Geoffrey E. Hinton Canada 454k citations
  2. 2 Xiangyu Zhang 327k citations
  3. 3 Xiaogang Wang China 260k citations
  4. 4 Yann LeCun United States 256k citations
  5. 5 Andrew Zisserman United Kingdom 255k citations
  6. 6 Kenji Watanabe Japan 237k 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 Industrial Vision Systems and Defect Detection?

The most cited paper in Industrial Vision Systems and Defect Detection is "The Knowledge-creating company: How Japanese companies create the dynamics of innovation" (H. Takeuchi, 1997), with 13,221 citations. Next come "YOLOv4: Optimal Speed and Accuracy of Object Detection" (10,541) and "A Concordance Correlation Coefficient to Evaluate Reproducibility" (8,920).

Most cited papers
#PaperReleasedCitations
1 The Knowledge-creating company: How Japanese companies create the dynamics of innovation H. Takeuchi · Research Policy Dec 1997 13,221
2 YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao · arXiv (Cornell University) PreprintOpen access 23 Apr 2020 10,541
3 A Concordance Correlation Coefficient to Evaluate Reproducibility Lawrence I-Kuei Lin · Biometrics Mar 1989 8,920
4 R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai, Yi Li, Kaiming He et al. · arXiv (Cornell University) PreprintOpen access 20 May 2016 3,434
5 Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su, Subhransu Maji, Evangelos Kalogerakis et al. Conference paper Dec 2015 3,408
All 100 most cited papers, with filters and sorting

Where is Industrial Vision Systems and Defect Detection research done?

The largest centres of Industrial Vision Systems and Defect Detection research in 2022-now are Beijing (China), Shanghai (China), Xi'an (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Jinrongjie, Douliu and Zigong.

Largest cities, 2022-now

  1. 1 BeijingChina 1.2k works
  2. 2 ShanghaiChina 612 works
  3. 3 Xi'anChina 459 works
  4. 4 WuhanChina 431 works
  5. 5 NanjingChina 367 works
  6. 6 GuangzhouChina 342 works
  7. 7 HangzhouChina 321 works
  8. 8 SeoulSouth Korea 271 works
  9. 9 ShenyangChina 249 works
  10. 10 TianjinChina 241 works

Where it is the local speciality

  1. JinrongjieCN · 33.7 works23×
  2. DouliuTW · 22.6 works11×
  3. ZigongCN · 28.2 works10×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Industrial Vision Systems and Defect Detection than the world average.

See Industrial Vision Systems and Defect Detection on the map

Where is the best place to study Industrial Vision Systems and Defect Detection?

Among universities, judged by research, Northeastern University, Hong Kong Polytechnic University and Huazhong University of Science and Technology 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 24.1%fractional works in this field (log) →share of work in the world top 10% →Hong Kong Polytechni…Northeastern Univers…Huazhong University …Zhejiang 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.

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
1Northeastern UniversityChina 75.023.8%7.7×102 +226.1%
2Hong Kong Polytechnic UniversityChina 74.933.3%2.4×31 +168.7%
3Huazhong University of Science and TechnologyChina 71.421.7%3.6×97 +121.0%
4Zhejiang UniversityChina 67.316.9%2.6×105 +109.4%
5Xi'an Jiaotong UniversityChina 66.518.6%3.3×86 +90.5%
6Shanghai Jiao Tong UniversityChina 66.017.3%2.1×90 +65.6%
7University of HuddersfieldUnited Kingdom 64.941.4%5.8×9 +111.7%
8City University of Hong KongChina 64.231.5%1.8×15 +236.7%
9Tsinghua UniversityChina 64.018.2%2.4×84 +178.7%
10Central South UniversityChina 63.518.3%2.5×73 +314.8%

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 Industrial Vision Systems and Defect Detection, country by country

Is Industrial Vision Systems and Defect Detection research growing?

Output in 2022-2025 was 127% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Industrial Vision Systems and Defect Detection.

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 Industrial Vision Systems and Defect Detection as a percentage of every work published that year, 0.10% in 2024.

still counting0.050%0.10%0.15%Industrial Vision Systems and Defect Detection0.087% in 202519801990200020102020

Fractional works of Industrial Vision Systems and Defect Detection 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%Industrial Vision Systems and Defect Detection9.7% 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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