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Engineering Diagnostics and Reliability

Engineering Diagnostics and Reliability is a research topic within Mechanics of Materials. Science Explorer counts 27k 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 materials engineering in industrial applications, particularly in the fields of corrosion, steel strength, pipeline durability, deformation processes, and industrial safety. It addresses issues such as fatigue, electrochemical parameters, friction welding, and heat resistance in various mechanical components and equipment used in oil and gas, power generation, and other industrial sectors.

  • Corrosion
  • Steel
  • Pipeline
  • Deformation
  • Industrial Safety
  • Fatigue
  • Electrochemical Parameters
  • Friction Welding
  • Heat Resistance
  • Machine Mechanics
Research works
27k
fractional, since 1950
In the world top 10%
2.7k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-1%
the tick is no change
Largest producer
China
38% of the 10 largest, 2022-now
Engineering Diagnostics and Reliability

Which countries lead Engineering Diagnostics and Reliability research?

By volume, China and Russia publish the most (2.2k and 2k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.2k works
  2. 2 Russia 2k works
  3. 3 Ukraine 529 works
  4. 4 United States 328 works
  5. 5 India 207 works
  6. 6 Uzbekistan 113 works
  7. 7 Indonesia 110 works
  8. 8 Poland 100 works
  9. 9 Kazakhstan 95 works
  10. 10 Azerbaijan 90 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: 37.7%Russia: 34.8%Ukraine: 9.3%United States: 5.7%6 others listed: 12.5%38%largest
China2,152 · 37.7%Russia1,989 · 34.8%Ukraine529 · 9.3%United States328 · 5.7%6 others listed714 · 12.5%

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

Which institutions lead Engineering Diagnostics and Reliability research?

By volume in 2022-now, Russian Academy of Sciences publishes the most Engineering Diagnostics and Reliability research, followed by National Academy of Sciences of Ukraine and Ufa State Petroleum Technological University.

Who are the leading researchers in Engineering Diagnostics and Reliability?

The most-cited researchers publishing on Engineering Diagnostics and Reliability include Cyrus Cooper, Xiaogang Wang and Kai You Wang.

  1. 1 Cyrus Cooper United Kingdom 342k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Kai You Wang China 224k citations
  4. 4 Frede Blaabjerg Denmark 203k 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 Engineering Diagnostics and Reliability?

The most cited paper in Engineering Diagnostics and Reliability is "A review on machinery diagnostics and prognostics implementing condition-based maintenance" (Andrew K. S. Jardine, Daming Lin, Dragan Banjević, 2005), with 4,775 citations. Next come "Machinery health prognostics: A systematic review from data acquisition to RUL prediction" (2,574) and "Artificial intelligence for fault diagnosis of rotating machinery: A review" (2,179).

Most cited papers
#PaperReleasedCitations
1 A review on machinery diagnostics and prognostics implementing condition-based maintenance Andrew K. S. Jardine, Daming Lin, Dragan Banjević · Mechanical Systems and Signal Processing 4 Nov 2005 4,775
2 Machinery health prognostics: A systematic review from data acquisition to RUL prediction Yaguo Lei, Naipeng Li, Liang Guo et al. · Mechanical Systems and Signal Processing Review Dec 2017 2,574
3 Artificial intelligence for fault diagnosis of rotating machinery: A review Ruonan Liu, Boyuan Yang, Enrico Zio et al. · Mechanical Systems and Signal Processing 15 Feb 2018 2,179
4 A review on empirical mode decomposition in fault diagnosis of rotating machinery Yaguo Lei, Jing Lin, Zhengjia He et al. · Mechanical Systems and Signal Processing 18 Oct 2012 1,882
5 Principal components analysis (PCA) Andrzej Adam Mackiewicz, Waldemar Ratajczak · Computers & Geosciences Mar 1993 1,769
All 100 most cited papers, with filters and sorting

Where is Engineering Diagnostics and Reliability research done?

The largest centres of Engineering Diagnostics and Reliability research in 2022-now are Moscow (Russia), Beijing (China), Saint Petersburg (Russia) and Kyiv (Ukraine). Among places with at least 20 works in it, it is an unusually large share of all research in Komsomol'skiy, Astrakhan and Ufa.

Largest cities, 2022-now

  1. 1 MoscowRussia 586 works
  2. 2 BeijingChina 366 works
  3. 3 Saint PetersburgRussia 216 works
  4. 4 KyivUkraine 157 works
  5. 5 Xi'anChina 150 works
  6. 6 ShanghaiChina 147 works
  7. 7 WuhanChina 116 works
  8. 8 NanjingChina 99 works
  9. 9 UfaRussia 93 works
  10. 10 KharkivUkraine 91 works

Where it is the local speciality

  1. Komsomol'skiyRU · 23.6 works57×
  2. AstrakhanRU · 25.3 works49×
  3. UfaRU · 93.1 works37×
  4. OmskRU · 34.9 works30×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Engineering Diagnostics and Reliability than the world average.

See Engineering Diagnostics and Reliability on the map

Where is the best place to study Engineering Diagnostics and Reliability?

Among universities, judged by research, Xi'an Jiaotong University, Yanshan University and Chongqing 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%60%mean 37.29%fractional works in this field (log) →share of work in the world top 10% →Yanshan UniversityChongqing UniversityXi'an Jiaotong Unive…Northwestern Polytec…
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
1Xi'an Jiaotong UniversityChina 71.133.4%3.8×40 +32.7%
2Yanshan UniversityChina 70.454.8%7.3×15 +113.3%
3Chongqing UniversityChina 65.139.3%3.9×25 +49.5%
4Northwestern Polytechnical UniversityChina 63.432.6%4.6×31 +116.2%
5Lanzhou University of TechnologyChina 62.340.3%9.7×19 +241.6%
6Huazhong University of Science and TechnologyChina 62.037.9%2.4×26 +34.5%
7Southwest Jiaotong UniversityChina 60.733.8%4.7×22 +79.1%
8Beijing University of Chemical TechnologyChina 59.933.7%7.3×19 +26.9%
9Hunan UniversityChina 58.735.6%3.1×13 +120.5%
10Harbin Institute of TechnologyChina 57.931.5%2.5×25 +82.1%

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 Engineering Diagnostics and Reliability, country by country

Is Engineering Diagnostics and Reliability research growing?

Output in 2022-2025 was 1% lower than in 2018-2021, peaking in 2021.

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 Engineering Diagnostics and Reliability as a percentage of every work published that year, 0.035% in 2024.

still counting0.020%0.040%Engineering Diagnostics and Reliability0.025% in 202519801990200020102020

Fractional works of Engineering Diagnostics and Reliability 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%Engineering Diagnostics and Reliability10.4% 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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