Ping An (China)
In research, Ping An (China) stands highest in Computer Science (#3,445 of 4,667 worldwide) and Physical Sciences (#11,558 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition — Signal Processing is 46.1× its share of world research.
- World rank, 2022–2025
- #19,320 of 28,054 · #23,963 all time
- Rank in ??
- #396 of 692
- Research works
- 640 ▲ 1223% vs 2013–17
- Citations
- 5.1k 7.9 per fractional work
- Top-10% rate
- 19.1% record average 16.5%
- Open access
- 21% world 28%
What is Ping An (China) known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #3,445 of 4,667 | 15.4% | 107 | #5310 | |
| Physical SciencesDomain | #11,558 of 12,888 | 15.2% | 118 | #17934 |
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 world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does Ping An (China) specialise in?
Where its research is concentrated relative to its size: Signal Processing takes 46.1× the share of its output that it takes of world research.
- Signal ProcessingSubfield · 21.1 works46×
- Artificial IntelligenceSubfield · 56.6 works16×
- Computer Vision and Pattern RecognitionSubfield · 21.0 works11×
- Computer ScienceField · 106.5 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.
- Computer Science 9.1×
- Decision Sciences 2.7×
- Psychology 0.7×
- Mathematics 0.7×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Neuroscience 0.5×
- Medicine 0.5×
- Economics, Econometrics and Finance 0.4×
- Business, Management and Accounting 0.3×
- Engineering 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 0.2×
- Agricultural and Biological Sciences 0.1×
- Energy 0.1×
- Social Sciences 0.1×
- Nursing 0.1×
- Materials Science 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Ping An (China)?
Ranked on the composite score, Mei Han, Adam P. Harrison and Ke Yan lead among researchers whose main affiliation is Ping An (China).
- 1 Mei Han ?? · #90,876 worldwide 279 citations · 31 works
- 2 Adam P. Harrison ?? · #319,031 worldwide 115 citations · 28 works
- 3 Ke Yan ?? · #364,221 worldwide 155 citations · 15 works
- 4 Guotong Xie ?? · #656,116 worldwide 98 citations · 52 works
- 5 Lingyun Huang ?? · #685,706 worldwide 36 citations · 15 works
- 6 Jing Xiao ?? · #818,111 worldwide 195 citations · 129 works
- 7 Ning Cheng ?? · #844,866 worldwide 108 citations · 62 works
- 8 Jianzong Wang ?? · #851,227 worldwide 170 citations · 111 works
- 9 Xulong Zhang ?? · #1,034,320 worldwide 83 citations · 50 works
- 10 Jing Xiao ?? · #1,292,674 worldwide 34 citations · 16 works
Which keywords describe research at Ping An (China)?
By fractional works in 2022–2025, 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.
- Generative Adversarial Networks
- Knowledge Graph Embedding
- Graph Convolutional Networks
- Predictive Modeling
- Domain Adaptation
- Feature Selection
- Pose Estimation
- 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
- Meta-Learning
- Convolutional Networks
- Few-Shot Learning
- Reinforcement Learning
- Graph Neural Networks
- Text Mining
Size is fractional works in 2022–2025 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 Learning62▲ 12×58 topics
- Neural Networks39▲ 17×24 topics
- Convolutional Neural Networks29▲ 26×14 topics
- Machine Learning15▲ 3.0×37 topics
- Feature Extraction14▲ 21×7 topics
- Deep Neural Networks14▲ 82×3 topics
- Acoustic Modeling13▲ 229×1 topic
- Speaker Verification13▲ 229×1 topic
- Information Retrieval12▲ 37×3 topics
- Text Classification11▲ 46×2 topics
- Audio-Visual Speech Recognition10▲ 128×1 topic
- Speech Enhancement10▲ 128×1 topic
- Audio Signal Classification10▲ 161×1 topic
- Music Information Retrieval10▲ 161×1 topic
- Topic Modeling9▲ 42×2 topics
- Machine Translation9▲ 37×1 topic
- Word Representation9▲ 50×1 topic
- Representation Learning7▲ 35×3 topics
- Neural Machine Translation7▲ 47×1 topic
- Statistical Machine Translation7▲ 47×1 topic
- Semi-Supervised Learning5▲ 32×2 topics
- Unsupervised Learning5▲ 24×3 topics
- Image Captioning4▲ 61×1 topic
- Visual Question Answering4▲ 37×1 topic
- Human-Computer Interaction4▲ 15×4 topics
- Emotion Recognition4▲ 14×2 topics
- Transfer Learning4▲ 12×3 topics
- Pose Estimation4▲ 20×2 topics
- Meta-Learning3▲ 27×2 topics
- Feature Selection3▲ 9.2×3 topics
- Convolutional Networks3▲ 14×3 topics
- Domain Adaptation3▲ 37×1 topic
- Few-Shot Learning3▲ 37×1 topic
- Predictive Modeling3▲ 6.8×3 topics
- Reinforcement Learning3▲ 17×2 topics
- Graph Convolutional Networks3▲ 16×2 topics
- Graph Neural Networks3▲ 36×1 topic
- Knowledge Graph Embedding3▲ 36×1 topic
- Text Mining3▲ 13×2 topics
- Generative Adversarial Networks2▲ 20×2 topics
Which research topics does Ping An (China) publish most on?
By volume in 2022–2025: 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 13 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 4 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
- 8 Advanced Graph Neural Networks Artificial Intelligence 3 works
- 9 Emotion and Mood Recognition Experimental and Cognitive Psychology 2 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: 28% of research is openly available.
World: 19% is written across borders.
How has Ping An (China)'s research output changed?
Output in 2018–2022 was 1223% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Shenzhen
- Eighth Affiliated Hospital of Sun Yat-sen University
- Shenzhen MSU-BIT University
- BGI Genomics
- Shenzhen Urban Transport Planning Center Co.
- Shenzhen Chipscreen Biosciences Co.
- Shenzhen Ruipuxun Academy for Stem Cell & Regenerative Medicine
- GMT Technology (Shenzhen) Co., Ltd. (China)
- MGI
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.