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Topic · Artificial Intelligence

Advanced Technologies in Various Fields

Advanced Technologies in Various Fields is a research topic within Artificial Intelligence. Science Explorer counts 13k research works in it since 1951. 10.0% 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 knowledge base graph embedding techniques for visual question answering models. It explores methods such as multi-scale relational networks, semantic representation, and deep learning for tasks including image classification, endoscope image mosaic, and haze prediction. The research also delves into spatial statistics and semantic reasoning to improve visual reasoning and feature extraction in the context of visual question answering.

  • Graph Embedding
  • Visual Question Answering
  • Semantic Representation
  • Multi-Scale Relational Network
  • Deep Learning
  • Image Classification
  • Convolutional Neural Network
  • Semantic Reasoning
  • Endoscope Imaging
  • Spatial Statistics
Research works
13k
fractional, since 1951
In the world top 10%
1.2k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+177%
the tick is no change
Largest producer
China
80% of the 10 largest, 2022-now
Advanced Technologies in Various Fields

Which countries lead Advanced Technologies in Various Fields research?

By volume, China and India publish the most (6.2k and 548 works in 2022-now).

By volume, 2022-now

  1. 1 China 6.2k works
  2. 2 India 548 works
  3. 3 United States 266 works
  4. 4 Malaysia 164 works
  5. 5 Indonesia 129 works
  6. 6 ?? 125 works
  7. 7 South Korea 93 works
  8. 8 United Kingdom 90 works
  9. 9 Türkiye 67 works
  10. 10 Thailand 67 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: 80.0%India: 7.1%United States: 3.4%Malaysia: 2.1%6 others listed: 7.4%80%largest
China6,196 · 80.0%India548 · 7.1%United States266 · 3.4%Malaysia164 · 2.1%6 others listed571 · 7.4%

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

Which institutions lead Advanced Technologies in Various Fields research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Technologies in Various Fields research, followed by State Grid Corporation of China (China) and Sichuan University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 61 works
  2. 2 State Grid Corporation of China (China)China 42 works
  3. 3 Sichuan UniversityChina 42 works
  4. 4 Shandong Institute of Commerce & TechnologyChina 38 works
  5. 5 Wuhan Business UniversityChina 34 works
  6. 6 Wuhan University of TechnologyChina 33 works
  7. 7 Hainan UniversityChina 32 works
  8. 8 University of Electronic Science and Technology of ChinaChina 32 works
  9. 9 Anhui University of Finance and EconomicsChina 29 works
  10. 10 China Southern Power Grid (China)China 29 works

Who are the leading researchers in Advanced Technologies in Various Fields?

The most-cited researchers publishing on Advanced Technologies in Various Fields include Jun Wang, Wei Huang and Kai You Wang.

  1. 1 Jun Wang China 340k citations
  2. 2 Wei Huang China 267k citations
  3. 3 Kai You Wang China 224k citations
  4. 4 Han Zhang China 161k citations
  5. 5 Huan Liu Australia 148k 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 Technologies in Various Fields?

The most cited paper in Advanced Technologies in Various Fields is "FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking" (Yifu Zhang, Chunyu Wang, Xinggang Wang et al., 2021), with 1,617 citations. Next come "Flood Prediction Using Machine Learning Models: Literature Review" (1,362) and "Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL" (1,271).

Most cited papers
#PaperReleasedCitations
1 FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking Yifu Zhang, Chunyu Wang, Xinggang Wang et al. · International Journal of Computer Vision Open access 3 Sep 2021 1,617
2 Flood Prediction Using Machine Learning Models: Literature Review Amir Mosavi, Pinar Ozturk, Kwok-wing Chau · Water Open access 27 Oct 2018 1,362
3 Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL Gwo‐Hshiung Tzeng, Cheng-Hsin Chiang, Chun Li · Expert Systems with Applications 3 Mar 2006 1,271
4 Work stress among Chinese nurses to support Wuhan in fighting against COVID‐19 epidemic Yuanyuan Mo, Lan Deng, Liyan Zhang et al. · Journal of Nursing Management Open access 7 Apr 2020 1,057
5 Deep Reinforcement Learning: A Survey Xu Wang, Sen Wang, Xingxing Liang et al. · IEEE Transactions on Neural Networks and Learning Systems 28 Sep 2022 909
All 99 most cited papers, with filters and sorting

Where is Advanced Technologies in Various Fields research done?

The largest centres of Advanced Technologies in Various Fields research in 2022-now are Beijing (China), Guangzhou (China), Wuhan (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zhaoqing and Guangzhou.

Largest cities, 2022-now

  1. 1 BeijingChina 611 works
  2. 2 GuangzhouChina 282 works
  3. 3 WuhanChina 281 works
  4. 4 ShanghaiChina 262 works
  5. 5 Xi'anChina 234 works
  6. 6 NanjingChina 220 works
  7. 7 ChengduChina 214 works
  8. 8 JinanChina 186 works
  9. 9 ChongqingChina 164 works
  10. 10 ZhengzhouChina 140 works

Where it is the local speciality

  1. ZhaoqingCN · 23.5 works38×
  2. Guangzhou21.1 works24×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Technologies in Various Fields than the world average.

See Advanced Technologies in Various Fields on the map

Where is the best place to study Advanced Technologies in Various Fields?

Among universities, judged by research, Beijing Sport University, Islamic Azad University, Tehran and University of Electronic Science and Technology of China 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 20.86%fractional works in this field (log) →share of work in the world top 10% →Beijing Sport Univer…Islamic Azad Univers…Beijing Normal Unive…University of Electr…
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
1Beijing Sport UniversityChina 65.344.3%19.3×10 +193.2%
2Islamic Azad University, TehranIran 61.127.4%1.9×23 +570.1%
3University of Electronic Science and Technology of ChinaChina 58.113.0%3.8×32 +116.3%
4Beijing Normal UniversityChina 57.318.4%4.0×23 +303.7%
5Sichuan UniversityChina 54.78.0%2.5×42 +50.2%
6Central South UniversityChina 53.718.4%1.7×24 +148.3%
7Northeastern UniversityChina 52.815.9%2.9×19 +89.4%
8Wenzhou UniversityChina 52.728.6%6.8×11 +433.3%
9Universiti Sains MalaysiaMalaysia 52.521.8%2.9×14 +762.2%
10Wuhan UniversityChina 51.412.8%2.6×27 +77.1%

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 Advanced Technologies in Various Fields, country by country

Is Advanced Technologies in Various Fields research growing?

Output in 2022-2025 was 177% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Advanced Technologies in Various Fields.

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 Technologies in Various Fields as a percentage of every work published that year, 0.021% in 2024.

still counting0.020%0.040%0.060%Advanced Technologies in Various Fields0.045% in 202519801990200020102020

Fractional works of Advanced Technologies in Various Fields 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 Technologies in Various Fields9.9% in 202520102020

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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