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. 21.8% 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%
- 13k per year above
- Top-10% rate
- 21.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +60% the tick is no change
Which countries lead Advanced Memory and Neural Computing research?
By volume, China and the United States publish the most (6.6k and 2.4k works in 2022–2025).
By volume, 2022–2025
- 1 China 6.6k works
- 2 United States 2.4k works
- 3 India 1.5k works
- 4 South Korea 1.3k works
- 5 Germany 730 works
- 6 Japan 624 works
- 7 United Kingdom 459 works
- 8 Italy 400 works
- 9 France 390 works
- 10 Taiwan 385 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Advanced Memory and Neural Computing research?
By volume in 2022–2025, Chinese Academy of Sciences publishes the most Advanced Memory and Neural Computing research, followed by Peking University and Tsinghua University.
By volume, 2022–2025
- 1 Chinese Academy of SciencesChina 165 works
- 2 Peking UniversityChina 157 works
- 3 Tsinghua UniversityChina 153 works
- 4 Huazhong University of Science and TechnologyChina 116 works
- 5 Shanghai Jiao Tong UniversityChina 109 works
- 6 Zhejiang UniversityChina 106 works
- 7 University of Electronic Science and Technology of ChinaChina 105 works
- 8 Seoul National UniversitySouth Korea 99 works
- 9 Southeast UniversityChina 96 works
- 10 Fudan UniversityChina 95 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, H. Vincent Poor and A. M. Litke.
- 1 Zhong Lin Wang United States 11k citations
- 2 H. Vincent Poor United States 9.5k citations
- 3 A. M. Litke United States 7.4k citations
- 4 Kenji Watanabe Japan 6.4k citations
- 5 Takashi Taniguchi Japan 6.2k citations
- 6 Dacheng Tao Australia 6.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Memory and Neural Computing research done?
The largest centres of Advanced Memory and Neural Computing research in 2022–2025 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, 2022–2025
Where it is the local speciality
- RüschlikonCH · 21.2 works63×
- PohangKR · 61.4 works13×
- JülichDE · 45.6 works11×
- HsinchuTW · 153.1 works10×
- Santa ClaraUS · 42.6 works9.4×
Location quotient: how much more of its research is in Advanced Memory and Neural Computing than the world average.
Where is the best place to study Advanced Memory and Neural Computing?
Among universities, judged by research, Changzhou University, Sejong University and Korea Advanced Institute of Science and Technology 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Changzhou UniversityChina | 70.5 | 56.7% | 7.1× | 32 | +368.4% |
| 2 | Sejong UniversitySouth Korea | 66.6 | 32.4% | 9.9× | 32 | +170.9% |
| 3 | Korea Advanced Institute of Science and TechnologySouth Korea | 62.0 | 27.7% | 11.3× | 92 | +42.2% |
| 4 | Zhengzhou University of Light IndustryChina | 61.5 | 28.8% | 9.9× | 27 | +258.4% |
| 5 | King Abdullah University of Science and TechnologySaudi Arabia | 60.4 | 28.3% | 9.0× | 44 | +82.1% |
| 6 | Lanzhou University of TechnologyChina | 59.4 | 57.1% | 3.9× | 23 | +243.1% |
| 7 | Pohang University of Science and TechnologySouth Korea | 58.9 | 19.2% | 16.2× | 59 | +114.5% |
| 8 | Nanjing University of Posts and TelecommunicationsChina | 58.3 | 19.8% | 8.2× | 62 | +197.5% |
| 9 | Xidian UniversityChina | 57.6 | 17.6% | 7.2× | 92 | +352.1% |
| 10 | Heilongjiang UniversityChina | 57.5 | 12.7% | 16.8× | 51 | +295.7% |
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 Memory and Neural Computing research growing?
Output in 2018–2022 was 60% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Advanced Memory and Neural Computing.
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.