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Topic · Electrical and Electronic Engineering

Advanced Machining and Optimization Techniques

Advanced Machining and Optimization Techniques is a research topic within Electrical and Electronic Engineering. Science Explorer counts 24k research works in it since 1950. 13.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers represents the advancements and research trends in Electrical Discharge Machining (EDM), including topics such as micromachining, wire EDM, electrochemical machining, optimization of process parameters, surface modification, and the use of hybrid processes. The papers cover a wide range of studies on material removal rate, Taguchi method, and the influence of various factors on EDM performance.

  • Electrical Discharge Machining
  • Micromachining
  • Wire EDM
  • Electrochemical Machining
  • Optimization
  • Surface Modification
  • Taguchi Method
  • Material Removal Rate
  • Process Parameters
  • Hybrid Processes
Research works
24k
fractional, since 1950
In the world top 10%
3.2k
per year above
Top-10% rate
13.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+51%
the tick is no change

Which countries lead Advanced Machining and Optimization Techniques research?

By volume, China and India publish the most (1.6k and 1.5k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.6k works
  2. 2 India 1.5k works
  3. 3 Türkiye 239 works
  4. 4 United States 183 works
  5. 5 Germany 152 works
  6. 6 Japan 123 works
  7. 7 Brazil 101 works
  8. 8 Vietnam 101 works
  9. 9 ?? 98 works
  10. 10 Indonesia 88 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: 39.1%India: 35.0%Türkiye: 5.7%United States: 4.4%6 others listed: 15.8%39%largest
China1,639 · 39.1%India1,465 · 35.0%Türkiye239 · 5.7%United States183 · 4.4%6 others listed662 · 15.8%

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

Which institutions lead Advanced Machining and Optimization Techniques research?

By volume in 2022–2025, Nanjing University of Aeronautics and Astronautics publishes the most Advanced Machining and Optimization Techniques research, followed by Saveetha University and Dalian University of Technology.

By volume, 2022–2025

  1. 1 Nanjing University of Aeronautics and AstronauticsChina 102 works
  2. 2 Saveetha UniversityIndia 61 works
  3. 3 Dalian University of TechnologyChina 52 works
  4. 4 Harbin Institute of TechnologyChina 46 works
  5. 5 Northeastern UniversityChina 39 works
  6. 6 Henan Polytechnic UniversityChina 37 works
  7. 7 Shandong UniversityChina 37 works
  8. 8 Shanghai Jiao Tong UniversityChina 37 works
  9. 9 Harbin University of Science and TechnologyChina 34 works
  10. 10 Vellore Institute of Technology UniversityIndia 34 works

Where is Advanced Machining and Optimization Techniques research done?

The largest centres of Advanced Machining and Optimization Techniques research in 2022–2025 are Chennai (India), Beijing (China), Nanjing (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Jiaozuo.

Largest cities, 2022–2025

  1. 1 Chennai India 184 works
  2. 2 Beijing China 166 works
  3. 3 Nanjing China 145 works
  4. 4 Shanghai China 93 works
  5. 5 Harbin China 90 works
  6. 6 Xi'an China 81 works
  7. 7 Dalian China 68 works
  8. 8 Wuhan China 67 works
  9. 9 Shenyang China 65 works
  10. 10 Jinan China 56 works

Where it is the local speciality

  1. JiaozuoCN · 37.4 works22×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Machining and Optimization Techniques than the world average.

See Advanced Machining and Optimization Techniques on the map

Where is the best place to study Advanced Machining and Optimization Techniques?

Among universities, judged by research, University of Engineering and Technology Lahore, Saveetha University and Northeastern 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 21.37%fractional works in this node (log) →share in the world top 10% →University of Engineering and Technology Lahore: 12, 24.2%Saveetha University: 61, 8.2%Northeastern University: 39, 18.8%Nanjing University of Aeronautics and Astronautics: 102, 17.5%KIIT University: 22, 17.2%Düzce Üniversitesi: 9, 29.4%Karabük University: 12, 22.6%Institute of Infrastructure Technology Research and Management: 8, 32.6%Dalian University of Technology: 52, 18.1%Henan Polytechnic University: 37, 25.1%University of Engine…Northeastern Univers…Nanjing University o…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
1 University of Engineering and Technology LahorePakistan 70.424.2%22.3×12 +455.3%
2 Saveetha UniversityIndia 65.68.2%11.8×61 +513.6%
3 Northeastern UniversityChina 63.918.8%8.2×39 +300.4%
4 Nanjing University of Aeronautics and AstronauticsChina 63.717.5%21.3×102 +5.9%
5 KIIT UniversityIndia 63.317.2%15.7×22 +373.6%
6 Düzce ÜniversitesiTürkiye 63.129.4%10.6×9 +164.5%
7 Karabük UniversityTürkiye 62.622.6%13.5×12 +278.2%
8 Institute of Infrastructure Technology Research and ManagementIndia 60.232.6%74.8×8 —
9 Dalian University of TechnologyChina 59.918.1%10.2×52 +17.8%
10 Henan Polytechnic UniversityChina 58.425.1%24.2×37 -40.4%

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 Advanced Machining and Optimization Techniques research growing?

Output in 2018–2022 was 51% higher than in 2013–2017, peaking in 2020. The fastest-growing topics are Advanced Machining and Optimization Techniques.

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.