Emergence logoEmergence

Country of the labs · world rank 2

AI research: China

Located papers

22,828

This month

0

Subjects covered

823

This page only covers the 22,828 papers with at least one laboratory traced to this country, between 27 October 2025 and 18 August 2026. It is not the entire output of the country.

This is the country of the laboratory, never the nationality of individuals. A paper co-signed from several countries counts in each of them. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.

Volumes by domain

What this country works on: China

Themes and topics are not invented here: every paper is mapped onto the OpenAlex classification, the open catalogue that indexes the world's scientific research (domain › field › theme › topic hierarchy). Click a theme to break it down into its main topics.

Rising phrases - last 30 days

Emerging signals

Phrases appearing markedly more often than usual in this country's papers. Because a national corpus is far smaller than the global one, the selection threshold is proportional to its volume: percentages are jumpier, and a term can rise on a handful of papers.

No signal computed yet - the burst detection workflow has not run.

Most active subjects - 12 months

Trajectories

Topics taken from the OpenAlex scientific classification.

2D projections of the embeddings

Semantic map

The 462 papers from this country present in the sample of 2,000 projected papers. Two papers close on the map have close content: the clusters show which research families this country actually occupies.

Loading the map…

20 most recent papers

Latest ingests

PaperAbstractThemeTopic
HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL

18 August 2026

Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-language-action (VLA) foundation models are not readily…Biomedical EngineeringRobotic Locomotion and Control
When State Becomes an Attack Surface: State-Semantic Injection in LLM-Driven Embodied Agents

18 August 2026

Large Language Models (LLMs) have demonstrated capabilities in in-context learning, task decomposition, step-by-step reasoning, and code generation, driving their gradual…VisionMultimodal Machine Learning Applications
UniDot: A Unified Network for Sequence Modeling and Feature Interaction in Large-scale Recommendation

18 August 2026

Industrial recommenders rely on two model families that have evolved largely independently: feature-interaction models over multi-field user/item features, and sequential models…Info systemsRecommender Systems and Techniques
TDD-Agent: Test-Driven Reasoning for Code Generation

18 August 2026

Large Language Models (LLMs) have achieved remarkable progress in code generation, yet ensuring correctness in complex, repository-level tasks remains challenging. Existing…Info systemsSoftware Engineering Research
GoalEvolve: From Handcrafted Algorithm Priors to Goal-Driven Evolution of Physical Design Algorithms

18 August 2026

Physical design algorithms operate within tightly coupled, multi-stage optimization flows, where stage-local gains may vanish or induce downstream degradation. Existing…Computational Theory and MathematicsAdvanced Multi-Objective Optimization Algorithms
Orbit-Planner: Towards Latent World Models for On-Orbit Obstacle Avoidance of Satellite Agents

18 August 2026

Satellite agents for on-orbit navigation tasks need to predict collision risks using limited onboard observations. However, conventional planners often rely on predefined maps and…Aerospace EngineeringSpace Satellite Systems and Control
VCE-Skill: Enhancing Skill Self-Evolution with Version-Change Experience

18 August 2026

Agents increasingly rely on reusable skills to encode task knowledge, tool-use procedures, and validation rules. Existing skill self-evolution methods primarily revise skills…AIReinforcement Learning in Robotics
NebulaVLA: A Dual-Frequency Vision-Language-Action Model With Guide Action for Robotic Manipulation

18 August 2026

Real-world deployment of Vision-Language-Action (VLA) models is often bottlenecked by efficiency-performance trade-offs, cross-embodiment generalization, and execution smoothness.…VisionMultimodal Machine Learning Applications
When Tool-Backed Skill Retrieval Fails: Source-Style Collapse in Executable Capability Retrieval

18 August 2026

Large-scale agents increasingly rely on retrieval to access external capabilities. We study this retrieval gate in structured tools and APIs, a measurable class of tool-backed…AISemantic Web and Ontologies
Pallas: A Proactive KV Cache Migration Framework for LLM Inference in AI-RAN

18 August 2026

AI-RAN brings large language model (LLM) serving close to mobile users, but cellular handover can separate an active request from its inference state: the user attaches to a…NetworksCaching and Content Delivery
PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data

18 August 2026

Large language models can describe mechanisms, yet scalable post-training still depends on costly, manually curated biological reasoning traces. Here we show that cellular…Molecular BiologySingle-cell and spatial transcriptomics
TRACE-CASH: Trial-History-Conditioned Reinforcement Learning for Adaptive Configuration Exploration in Time-Series CASH

18 August 2026

Combined algorithm selection and hyperparameter optimization (CASH) searches a conditional space in which the selected model determines which hyperparameters are active. In…AIMachine Learning and Data Classification
Ventor-QTest: Threat-Model-Driven Verification of Vendor-Hosted LLM APIs

18 August 2026

As large language models become increasingly widespread, third-party providers that deploy open-weight models have become an important part of the ecosystem. Auditing the quality…NetworksSoftware System Performance and Reliability
Task-Anchored Representation Shaping for Pre-Trained Model-Based Continual Learning

18 August 2026

Pre-trained models (PTMs) provide a strong foundation for continual learning by offering stable representations that facilitate lightweight adaptation to new tasks. However,…AIDomain Adaptation and Few-Shot Learning
Static Pruning Across Sparse Retrieval Regimes: What Transfers, What Breaks, and What Still Helps

18 August 2026

Static pruning is widely used to accelerate sparse neural retrieval, yet existing studies each validate their conclusions within a single custom pipeline, leaving it unclear which…Info systemsInformation Retrieval and Search Behavior
SCALE: State-Calibrated Latent Embeddings for JEPA Planning in the Right Geometry

18 August 2026

Joint-embedding predictive world models plan by scoring predicted terminal embeddings against a goal embedding using a cost defined on the representation itself. Two prominent…AIReinforcement Learning in Robotics
Efficient Coreset Selection via K-Nearest Neighbor Graphs

18 August 2026

Coreset selection reduces the cost of model training by replacing a large training set with a small representative subset. Existing gradient-approximation coreset methods such as…AIDomain Adaptation and Few-Shot Learning
CompoSkill: Compositional Skill Chain Attacks from Individually Scanner-Passing LLM Agent Skills

18 August 2026

Autonomous AI agents tackling Long Horizon Tasks depend on marketplace skills that are certified one at a time: a scanner returns a safety verdict for each skill and declares the…AIAdversarial Robustness in Machine Learning
HiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object-Interaction

18 August 2026

Humanoid intelligence requires learning over an extremely diverse space of whole-body motions and physically grounded interactions. However, existing embodied datasets remain…VisionHuman Pose and Action Recognition
Beyond Peak Backlog: Conditional Energy and Temporal Geometry in Capacity-Constrained Delayed Bandit Optimization

18 August 2026

What is the right delay complexity when a learner can track only $C$ pending feedback items and discarded feedback is permanently lost? Existing one-point bandit convex…Operations res.Advanced Bandit Algorithms Research

Lab countries - last 90 days

Other countries

The world ranking as it appears on the dashboard. Click another country to open its page.

  1. United States38% · 26,375 papers
  2. China33% · 22,828 papers
  3. United Kingdom7.5% · 5,251 papers
  4. Germany7.2% · 4,984 papers
  5. India4.6% · 3,181 papers
  6. Canada4.5% · 3,159 papers
  7. France4.1% · 2,865 papers
  8. South Korea4.1% · 2,859 papers
  9. Hong Kong SAR China3.2% · 2,247 papers
  10. Japan3.2% · 2,234 papers
  11. Australia3.1% · 2,160 papers
  12. Italy2.9% · 1,987 papers
  13. Singapore2.8% · 1,952 papers
  14. Switzerland2.3% · 1,611 papers

Click a country to see only its research

Across 69,649 papers with at least one lab located, i.e. 76% of the 91,354 papers fully processed between 27 October 2025 and 21 August 2026. 167 countries represented.

This is the country of the laboratory, never the nationality of individuals. A paper signed from several countries counts for each of them, so the shares add up to more than 100%. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.

The digest by email

Get the digest

One email on Monday morning: what moved in AI research last week. No spam, one-click unsubscribe.