Ping An (China)
In research, Ping An (China) stands highest in Computer Science (#2,457 of 4,417 worldwide) and Physical Sciences (#8,846 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition (Signal Processing is 44.1× its share of world research).
- World rank, 2022-now
- #14,261 of 22,385 · #12,730 all time
- Rank in ??
- #281 of 487
- Research works
- 640 ▼ 10% vs 2018-21
- Citations
- 5.1k 7.9 per fractional work
- Top-10% rate
- 10.2% all institutions 10.0%
- vs its own fields
- 1.06× 1.00× is exactly expected
- Open access
- 21% world 40%
- International
- 7% world 18%
What is Ping An (China) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #2,457 of 4,417 | 7.3% | 107 | #3677 | |
| Physical SciencesDomain | #8,846 of 10,670 | 7.5% | 118 | #10862 |
Each strip is that field's whole ranked pool, with the notch where Ping An (China) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Ping An (China) work in?
In 2022-now, 78% of research at Ping An (China) is in Physical Sciences, 9% in Health Sciences. Its largest fields are Computer Science (71%), Medicine (9%), Engineering (5%). It does 2.0× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 23 fields, with their numbers
- Physical Sciences12478.4%
- Computer Science11270.9%
- Engineering84.9%
- Environmental Science10.8%
- Mathematics10.8%
- Earth and Planetary Sciences10.4%
- Physics and Astronomy10.4%
- Energy00.1%
- Materials Science00.1%
- Health Sciences159.5%
- Medicine148.9%
- Health Professions10.4%
- Dentistry00.1%
- Nursing00.0%
- Social Sciences138.2%
- Life Sciences64.0%
What does Ping An (China) specialise in?
Where its research is concentrated relative to its size: Signal Processing takes 44.1× the share of its output that it takes of world research.
- Signal ProcessingSubfield · 21.2 works44×
- Artificial IntelligenceSubfield · 59.9 works16×
- Computer Vision and Pattern RecognitionSubfield · 22.6 works11×
- Computer ScienceField · 112.3 works9.1×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 9.1×. Every wedge is a field page.
All 23 fields, with their numbers
- Computer Science9.12×112 works
- Decision Sciences2.54×4 works
- Psychology0.87×4 works
- Mathematics0.68×1 works
- Biochemistry, Genetics and Molecular Biology0.46×4 works
- Medicine0.46×14 works
- Neuroscience0.45×1 works
- Economics, Econometrics and Finance0.36×1 works
- Engineering0.33×8 works
- Business, Management and Accounting0.33×2 works
- Dentistry0.29×0 works
- Immunology and Microbiology0.26×0 works
- Earth and Planetary Sciences0.24×1 works
- Physics and Astronomy0.17×1 works
- Environmental Science0.16×1 works
- Health Professions0.15×1 works
- Agricultural and Biological Sciences0.10×1 works
- Energy0.10×0 works
- Social Sciences0.10×2 works
- Nursing0.08×0 works
- Pharmacology, Toxicology and Pharmaceutics0.04×0 works
- Materials Science0.02×0 works
- Arts and Humanities0.02×0 works
- Computer Science 9.1×
- Decision Sciences 2.5×
- Psychology 0.9×
- Mathematics 0.7×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Medicine 0.5×
- Neuroscience 0.5×
- Economics, Econometrics and Finance 0.4×
- Engineering 0.3×
- Business, Management and Accounting 0.3×
- Dentistry 0.3×
- Immunology and Microbiology 0.3×
- Earth and Planetary Sciences 0.2×
- Physics and Astronomy 0.2×
- Environmental Science 0.2×
- Health Professions 0.1×
- Agricultural and Biological Sciences 0.1×
- Energy 0.1×
- Social Sciences 0.1×
- Nursing 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
- Materials Science 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Ping An (China)?
Ranked on the quality score, Youbao Tang, Ke Yan and Guotong Xie lead among researchers whose main affiliation is Ping An (China).
- 1 Youbao Tang #239,785 worldwide 2.4k citations · 89 works
- 2 Ke Yan #270,467 worldwide 3.2k citations · 75 works
- 3 Guotong Xie #499,895 worldwide 4k citations · 253 works
- 4 Jing Zhong Xiao #772,752 worldwide 5.4k citations · 525 works
- 5 Jing Xiao #1,012,152 worldwide 499 citations · 49 works
- 6 Xingzhi Sun #1,118,582 worldwide 579 citations · 28 works
- 7 Jing Xiao #1,356,334 worldwide 1.2k citations · 61 works
- 8 Jun Wang #1,379,850 worldwide 1.1k citations · 48 works
- 9 Tiange Chen #1,687,902 worldwide 702 citations · 67 works
- 10 Fakai Wang #1,736,168 worldwide 324 citations · 21 works
Which keywords describe research at Ping An (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Feature Extraction, Deep Neural Networks, Acoustic Modeling, Speaker Verification and Information Retrieval.
- Text Mining
- Multimodal Data
- Facial Expression
- Convolutional Networks
- Domain Adaptation
- Reinforcement Learning
- Meta-Learning
- Emotion Recognition
- Visual Question Answering
- Unsupervised Learning
- Statistical Machine Translation
- Representation Learning
- Machine Translation
- Music Information Retrieval
- Speech Enhancement
- Text Classification
- Speaker Verification
- Deep Neural Networks
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Feature Extraction
- Acoustic Modeling
- Information Retrieval
- Audio-Visual Speech Recognition
- Audio Signal Classification
- Topic Modeling
- Word Representation
- Neural Machine Translation
- Semi-Supervised Learning
- Image Captioning
- Human-Computer Interaction
- Transfer Learning
- Pose Estimation
- Feature Selection
- Few-Shot Learning
- Face Recognition
- Graph Convolutional Networks
- Graph Neural Networks
Size is fractional works in 2022-now in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning65▲ 12×60 topics
- Neural Networks40▲ 16×25 topics
- Convolutional Neural Networks30▲ 26×14 topics
- Machine Learning15▲ 2.8×37 topics
- Feature Extraction15▲ 21×7 topics
- Deep Neural Networks15▲ 75×3 topics
- Acoustic Modeling14▲ 236×1 topic
- Speaker Verification14▲ 236×1 topic
- Information Retrieval12▲ 35×3 topics
- Text Classification11▲ 43×2 topics
- Audio-Visual Speech Recognition10▲ 127×1 topic
- Speech Enhancement10▲ 127×1 topic
- Audio Signal Classification10▲ 163×1 topic
- Music Information Retrieval10▲ 163×1 topic
- Topic Modeling9▲ 39×2 topics
- Machine Translation9▲ 35×1 topic
- Word Representation9▲ 47×1 topic
- Representation Learning8▲ 31×3 topics
- Neural Machine Translation7▲ 48×1 topic
- Statistical Machine Translation7▲ 48×1 topic
- Semi-Supervised Learning6▲ 29×2 topics
- Unsupervised Learning6▲ 23×3 topics
- Image Captioning5▲ 58×1 topic
- Visual Question Answering5▲ 35×1 topic
- Human-Computer Interaction5▲ 16×4 topics
- Emotion Recognition4▲ 14×2 topics
- Transfer Learning4▲ 13×3 topics
- Meta-Learning4▲ 26×2 topics
- Pose Estimation4▲ 20×2 topics
- Reinforcement Learning4▲ 19×2 topics
- Feature Selection3▲ 10×3 topics
- Domain Adaptation3▲ 36×1 topic
- Few-Shot Learning3▲ 36×1 topic
- Convolutional Networks3▲ 14×3 topics
- Face Recognition3▲ 15×2 topics
- Facial Expression3▲ 38×1 topic
- Graph Convolutional Networks3▲ 15×2 topics
- Multimodal Data3▲ 38×1 topic
- Graph Neural Networks3▲ 30×1 topic
- Text Mining3▲ 12×2 topics
Which research topics does Ping An (China) publish most on?
By volume in 2022-now: Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing and Topic Modeling.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Speech Recognition and Synthesis Artificial Intelligence 14 works
- 2 Speech and Audio Processing Signal Processing 10 works
- 3 Music and Audio Processing Signal Processing 10 works
- 4 Topic Modeling Artificial Intelligence 9 works
- 5 Natural Language Processing Techniques Artificial Intelligence 7 works
- 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 5 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
- 8 Emotion and Mood Recognition Experimental and Cognitive Psychology 3 works
- 9 Advanced Graph Neural Networks Artificial Intelligence 3 works
- 10 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
How open and international is its research?
Against the world's own shares: the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 40% of research is openly available.
World: 18% is written across borders.
How has Ping An (China)'s research output changed?
Output in 2022-2025 was 10% lower than in 2018-2021.
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 Ping An (China) as a percentage of every work published that year, 0.00068% in 2024.
Fractional works of Ping An (China) 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, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 13.1% in 2024.
Other research institutions in Shenzhen
- Shenzhen MSU-BIT University
- Shenzhen Urban Transport Planning Center Co.
- Shenzhen Chipscreen Biosciences Co.
- Shenzhen Ruipuxun Academy for Stem Cell & Regenerative Medicine
- GMT Technology (Shenzhen) Co., Ltd. (China)
- Animal and Plant Inspection and Quarantine Technology Center of Shenzhen Customs District
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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