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Topic · Electrical and Electronic Engineering

Advanced Memory and Neural Computing

Advanced Memory and Neural Computing is a research topic within Electrical and Electronic Engineering. Science Explorer counts 60k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of memristive devices for neuromorphic computing, with an emphasis on resistive switching, spiking neurons, synaptic plasticity, and non-volatile memory. The research explores the potential of memristors in emulating biological synapses and enabling brain-inspired computing.

  • Memristor
  • Neuromorphic Computing
  • Resistive Switching
  • Spiking Neurons
  • Synaptic Plasticity
  • Non-volatile Memory
  • Neural Networks
  • Metal Oxides
  • Brain-inspired Computing
  • Artificial Synapse
Research works
60k
fractional, since 1950
In the world top 10%
5.9k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+46%
the tick is no change
Largest producer
China
46% of the 10 largest, 2022-now
Advanced Memory and Neural Computing

Which countries lead Advanced Memory and Neural Computing research?

By volume, China and the United States publish the most (7.4k and 2.6k works in 2022-now).

By volume, 2022-now

  1. 1 China 7.4k works
  2. 2 United States 2.6k works
  3. 3 India 1.6k works
  4. 4 South Korea 1.4k works
  5. 5 Germany 792 works
  6. 6 Japan 670 works
  7. 7 United Kingdom 505 works
  8. 8 Italy 437 works
  9. 9 France 413 works
  10. 10 Taiwan 411 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: 45.6%United States: 16.0%India: 9.9%South Korea: 8.6%6 others listed: 19.8%46%largest
China7,422 · 45.6%United States2,600 · 16.0%India1,613 · 9.9%South Korea1,407 · 8.6%6 others listed3,229 · 19.8%

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

Which institutions lead Advanced Memory and Neural Computing research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Memory and Neural Computing research, followed by Peking University and Tsinghua University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 541 works
  2. 2 Peking UniversityChina 180 works
  3. 3 Tsinghua UniversityChina 173 works
  4. 4 Centre National de la Recherche ScientifiqueFrance 172 works
  5. 5 Zhejiang UniversityChina 134 works
  6. 6 Huazhong University of Science and TechnologyChina 125 works
  7. 7 Fudan UniversityChina 121 works
  8. 8 Shanghai Jiao Tong UniversityChina 119 works
  9. 9 University of Electronic Science and Technology of ChinaChina 115 works
  10. 10 Seoul National UniversitySouth Korea 115 works

Who are the leading researchers in Advanced Memory and Neural Computing?

The most-cited researchers publishing on Advanced Memory and Neural Computing include Zhong Lin Wang, Yoshua Bengio and Michaël Grätzel.

  1. 1 Zhong Lin Wang United States 491k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Michaël Grätzel Switzerland 458k citations
  4. 4 Geoffrey E. Hinton Canada 454k citations
  5. 5 Valery L. Feigin New Zealand 341k citations
  6. 6 Kostya S. Novoselov United Kingdom 331k citations
  7. 7 Andre K. Geim United Kingdom 315k citations
  8. 8 Yury G. Gogotsi United States 313k citations
  9. 9 Karl John Friston United Kingdom 310k citations
  10. 10 Dan J. Stein South Africa 306k 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 Advanced Memory and Neural Computing?

The most cited paper in Advanced Memory and Neural Computing is "The rise of graphene" (Andre K. Geim, Kostya S. Novoselov, 2007), with 39,928 citations. Next come "Extreme learning machine: Theory and applications" (13,359) and "The missing memristor found" (11,715).

Most cited papers
#PaperReleasedCitations
1 The rise of graphene Andre K. Geim, Kostya S. Novoselov · Nature Materials Mar 2007 39,928
2 Extreme learning machine: Theory and applications Guang-Bin Huang, Qinyu Zhu, Chee‐Kheong Siew · Neurocomputing 17 May 2006 13,359
3 The missing memristor found Dmitri B. Strukov, Gregory S. Snider, Duncan R. Stewart et al. · Nature 30 Apr 2008 11,715
4 Memristor-The missing circuit element Leon Ong Chua · IEEE Transactions on Circuit Theory 1971 10,276
5 Fine Structure Constant Defines Visual Transparency of Graphene Rahul R. Nair, Peter N. Blake, Alexander N. Grigorenko et al. · Science Open access 3 Apr 2008 9,109
All 100 most cited papers, with filters and sorting

Where is Advanced Memory and Neural Computing research done?

The largest centres of Advanced Memory and Neural Computing research in 2022-now are Beijing (China), Seoul (South Korea), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Rüschlikon, Pohang and Jülich.

Largest cities, 2022-now

  1. 1 BeijingChina 1.4k works
  2. 2 SeoulSouth Korea 787 works
  3. 3 ShanghaiChina 592 works
  4. 4 NanjingChina 432 works
  5. 5 Xi'anChina 362 works
  6. 6 WuhanChina 323 works
  7. 7 HangzhouChina 313 works
  8. 8 GuangzhouChina 250 works
  9. 9 ChengduChina 249 works
  10. 10 TokyoJapan 249 works

Where it is the local speciality

  1. RüschlikonCH · 23.1 works66×
  2. PohangKR · 65.0 works13×
  3. JülichDE · 50.2 works10×
  4. HsinchuTW · 163.8 works10×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Memory and Neural Computing than the world average.

See Advanced Memory and Neural Computing on the map

Where is the best place to study Advanced Memory and Neural Computing?

Among universities, judged by research, Changzhou University, National University of Singapore and Hunan 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 21.81%fractional works in this field (log) →share of work in the world top 10% →Changzhou UniversityHunan UniversityNational University …Tsinghua 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
1Changzhou UniversityChina 70.233.5%8.1×36 +84.3%
2National University of SingaporeSingapore 68.019.6%4.1×84 +20.9%
3Hunan UniversityChina 67.726.1%5.1×62 +96.1%
4Tsinghua UniversityChina 65.614.9%4.4×173 +30.9%
5Lanzhou University of TechnologyChina 65.335.0%4.6×26 +270.6%
6City University of Hong KongChina 64.217.9%5.1×50 +64.2%
7Hong Kong Polytechnic UniversityChina 64.227.5%2.4×35 +88.0%
8King Abdullah University of Science and TechnologySaudi Arabia 63.216.6%9.7×46 +116.8%
9Peking UniversityChina 63.110.3%5.2×180 +92.0%
10University of Chinese Academy of SciencesChina 61.216.7%3.7×102 +52.3%

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 Advanced Memory and Neural Computing, country by country

Is Advanced Memory and Neural Computing research growing?

Output in 2022-2025 was 46% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Advanced Memory and Neural Computing.

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 Advanced Memory and Neural Computing as a percentage of every work published that year, 0.089% in 2024.

still counting0.050%0.10%Advanced Memory and Neural Computing0.085% in 202519801990200020102020

Fractional works of Advanced Memory and Neural Computing 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%Advanced Memory and Neural Computing9.7% 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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