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Electronic Packaging and Soldering Technologies

Electronic Packaging and Soldering Technologies is a research topic within Electrical and Electronic Engineering. Science Explorer counts 32k 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 advances and challenges in the use of lead-free solders, interfacial reactions between solders and base materials, reliability studies in electronic packaging, high-temperature electronics, nanoparticle applications, electromigration effects, thermal behavior, rare earth element additions, and the use of conductive adhesives as alternatives.

  • Lead-free Solders
  • Interfacial Reactions
  • Electronic Packaging
  • High-Temperature Electronics
  • Reliability Study
  • Nanoparticles
  • Electromigration
  • Thermal Behavior
  • Rare Earth Elements
  • Conductive Adhesives
Research works
32k
fractional, since 1950
In the world top 10%
3.2k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-15%
the tick is no change

Which countries lead Electronic Packaging and Soldering Technologies research?

By volume, China and the United States publish the most (1.3k and 592 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.3k works
  2. 2 United States 592 works
  3. 3 Japan 305 works
  4. 4 Taiwan 261 works
  5. 5 Germany 240 works
  6. 6 South Korea 224 works
  7. 7 India 110 works
  8. 8 Malaysia 88 works
  9. 9 France 80 works
  10. 10 United Kingdom 76 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: 39.9%United States: 18.0%Japan: 9.3%Taiwan: 7.9%6 others listed: 24.9%40%largest
China1,310 · 39.9%United States592 · 18.0%Japan305 · 9.3%Taiwan261 · 7.9%6 others listed817 · 24.9%

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

Which institutions lead Electronic Packaging and Soldering Technologies research?

By volume in 2022–2025, Harbin Institute of Technology publishes the most Electronic Packaging and Soldering Technologies research, followed by Auburn University and The University of Osaka.

Who are the leading researchers in Electronic Packaging and Soldering Technologies?

The most-cited researchers publishing on Electronic Packaging and Soldering Technologies include M. S. Alam and A.G. Evans.

  1. 1 M. S. Alam United States 5.5k citations
  2. 2 A.G. Evans United States 3.2k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Electronic Packaging and Soldering Technologies research done?

The largest centres of Electronic Packaging and Soldering Technologies research in 2022–2025 are Beijing (China), Seoul (South Korea), Tokyo (Japan) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Auburn, Binghamton and Santa Clara.

Largest cities, 2022–2025

  1. 1 Beijing China 259 works
  2. 2 Seoul South Korea 112 works
  3. 3 Tokyo Japan 102 works
  4. 4 Shanghai China 101 works
  5. 5 Hsinchu Taiwan 84 works
  6. 6 Harbin China 75 works
  7. 7 Singapore Singapore 65 works
  8. 8 Xi'an China 64 works
  9. 9 Wuhan China 60 works
  10. 10 Guangzhou China 59 works

Where it is the local speciality

  1. AuburnUS · 56.3 works44×
  2. BinghamtonUS · 20.8 works38×
  3. Santa ClaraUS · 35.1 works35×
  4. ChemnitzDE · 20.7 works34×
← less than its size predictsmore →

Location quotient: how much more of its research is in Electronic Packaging and Soldering Technologies than the world average.

See Electronic Packaging and Soldering Technologies on the map

Where is the best place to study Electronic Packaging and Soldering Technologies?

Among universities, judged by research, Xiamen University of Technology, Harbin Institute of Technology and Binghamton 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%10%20%30%mean 13.1%fractional works in this node (log) →share in the world top 10% →Xiamen University of Technology: 14, 23.9%Harbin Institute of Technology: 59, 11.7%Binghamton University: 21, 20.6%National Yang Ming Chiao Tung University: 28, 12.3%Auburn University: 56, 6.2%City University of Hong Kong: 12, 25.2%The University of Osaka: 39, 5.5%Jiangsu University of Science and Technology: 15, 13.1%Universiti Malaysia Perlis: 17, 7.4%Dalian University of Technology: 39, 5.1%Xiamen University of…Binghamton UniversityNational Yang Ming C…Harbin Institute of …
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 Xiamen University of TechnologyChina 66.423.9%17.3×14
2 Harbin Institute of TechnologyChina 64.211.7%9.4×59 +32.2%
3 Binghamton UniversityUnited States 62.320.6%39.2×21 -31.9%
4 National Yang Ming Chiao Tung UniversityTaiwan 59.812.3%18.2×28 +18.7%
5 Auburn UniversityUnited States 58.26.2%45.4×56 +9.0%
6 City University of Hong KongHong Kong 56.725.2%5.5×12 -40.7%
7 The University of OsakaJapan 56.55.5%16.9×39 +51.6%
8 Jiangsu University of Science and TechnologyChina 54.013.1%12.9×15 +37.1%
9 Universiti Malaysia PerlisMalaysia 52.57.4%29.7×17 +53.4%
10 Dalian University of TechnologyChina 51.85.1%10.8×39 -0.1%

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 Electronic Packaging and Soldering Technologies research growing?

Output in 2018–2022 was 15% lower than in 2013–2017, peaking in 2002.

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.