Country of the labs · world rank 39
AI research: Malaysia
Located papers
254
This month
0
−100% vs previous month
Subjects covered
124
This page only covers the 254 papers with at least one laboratory traced to this country, between 3 November 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: Malaysia
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.
Multimodal Machine Learning Applications
Vision
Large Language Models
AI
Advanced Neural Network Applications
Vision
Generative Adversarial Networks and Image Synthesis
Vision
3D Shape Modeling and Analysis
Computational Mechanics
AI in cancer detection
AI
Advanced Graph Neural Networks
AI
Reinforcement Learning in Robotics
AI
20 most recent papers
Latest ingests
| Paper | Abstract | Theme | Topic |
|---|---|---|---|
| Decoupled Temporal Encoding for Generative Recommendation 18 August 2026 | Positional encoding is a fundamental component of Transformer-based generative recommendation models, where user histories are modeled as autoregressive item sequences. Most… | Info systems | Recommender Systems and Techniques |
| Learning Varying Physical Therapist-Patient Interactions for Robot-mediated Upper Limb Task-Specific Training 18 August 2026 | Upper extremity motor function recovery is positively linked to Task-Specific Training (TST) and sufficient therapy dosage. Rehabilitation robots can increase TST dosage via… | Biomedical Engineering | Muscle activation and electromyography studies |
| PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification 18 August 2026 | Encrypted traffic classification is vital for network security, yet real-world deployments are inherently sensitive to rare but high-loss errors such as misclassification of… | AI | Internet Traffic Analysis and Secure E-voting |
| EA-LiteUNet: An Edge-Adaptive and Resource-Efficient U-Net for Boundary-Sensitive Dermoscopic Image Segmentation 18 August 2026 | Accurate boundary delineation remains a persistent challenge in dermoscopic image segmentation because of blurred lesion margins, heterogeneous textures, and complex background… | Oncology | Cutaneous Melanoma Detection and Management |
| TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification 17 August 2026 | The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations… | Radiology, Nuclear Medicine and Imaging | Retinal Imaging and Analysis |
| MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval 11 August 2026 | Human motion-text retrieval provides a rigorous means of assessing cross-modal alignment. Prevailing benchmarks are dominated by homogeneous indoor motions, imbalanced motion… | Control systems | Human Motion and Animation |
| SciQNet: Two-Stage Multimodal Adaptation for Scientific Image Quality Assessment 7 August 2026 | Scientific images are essential for communicating experimental observations, quantitative evidence and conceptual knowledge. Unlike natural images, their quality depends on both… | Vision | Multimodal Machine Learning Applications |
| MedPRESS: A Multi-turn Benchmark for Patient-Pressure-Induced Medical Sycophancy in LLMs 4 August 2026 | Large language models (LLMs) are increasingly used for health-related advice. Existing research measures their safety with static questions rather than pressured patient-facing… | AI | Machine Learning in Healthcare |
| Two-Stage Bengali Sentiment Classification: Domain Adaptation Through Continual Learning and Parameter-Efficient Fine-Tuning 4 August 2026 | Understanding sentiment in low-resource languages remains a key challenge for Natural Language Processing (NLP), particularly when domain-specific data is scarce. In this work, we… | AI | Sentiment Analysis and Opinion Mining |
| Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control 30 July 2026 | World generative models are typically used through what they produce: a rendered future, a video-conditioned action, or latent context computed by a costly generative branch. We… | Vision | Generative Adversarial Networks and Image Synthesis |
| Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector: Implications for Safe and Sustainable by Design (SSbD) 28 July 2026 | The semiconductor sector faces a dual transition: scaling manufacturing execution through Artificial Intelligence (AI) while satisfying stringent sustainability mandates, such as… | Industrial and Manufacturing Engineering | Digital Transformation in Industry |
| When Does Knowledge Distillation Hurt? Reliability-Aware Distillation for Low-Resource Language Summarization 23 July 2026 | Knowledge distillation (KD) is a standard approach for compressing sequence-to-sequence models, but its per-sample effects are rarely examined. On the BanSum Bangla summarization… | AI | Large Language Models |
| OLEDLM: A Unified Language Model for OLED Molecular Design 23 July 2026 | The development of organic light-emitting diode (OLED) materials faces the compounded challenges of an astronomically large chemical space, stringent quantum-chemical constraints,… | Electronics | Organic Light-Emitting Diodes Research |
| DobicVLM: Aligning Chest X-Ray Report Generation with Clinically-Grounded Programmatic Rewards via Group Relative Policy Optimization 22 July 2026 | Medical imaging is a cornerstone of diagnostics, yet automated chest X-ray report generation struggles with structural adherence, anatomical completeness, and semantic… | Radiology, Nuclear Medicine and Imaging | COVID-19 diagnosis using AI |
| AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation 22 July 2026 | Novel view rendering of large and complex reconstructed scenes is becoming increasingly photorealistic. However, most reconstructions remain static and lack the ambient motion… | Computer Graphics and Computer-Aided Design | Computer Graphics and Visualization Techniques |
| Fenced Citation-Context Retrieval for Case Law: Temporal Leakage and Degree Control Across Two Jurisdictions 21 July 2026 | Prior case retrieval (PCR) aims to identify the precedent cases relevant to the facts of a query case. Incoming citation context, the text with which later cases characterize a… | Political Science and International Relations | Artificial Intelligence in Law |
| Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records 21 July 2026 | Accurate emergency triage decision is critical to avoid clinical deterioration, morbidity, and mortality. Machine learning-based triage system involves acquiring the main… | Emergency Medicine | Emergency and Acute Care Studies |
| Learning Spatio-Temporal Foundation Models from Pure Synthetic Data 21 July 2026 | Spatio-Temporal Foundation Models (STFMs) aim to learn generalizable representations of complex dynamical systems across space and time. However, existing approaches suffer from… | Vision | Generative Adversarial Networks and Image Synthesis |
| A Multi-Agent System for 5G Throughput Prediction in Multi-Operator Urban Environments 21 July 2026 | Throughput prediction is foundational for artificial intelligence-driven 6G resource orchestration. Conventional monolithic machine learning models struggle to generalize across… | Electronics | Advanced Data and IoT Technologies |
| Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition 21 July 2026 | Sensor-based human activity recognition (HAR) has achieved significant progressed in fully supervised learning settings. However, these supervised learning models rely on large… | Vision | Context-Aware Activity Recognition Systems |
Lab countries - last 90 days
Other countries
The world ranking as it appears on the dashboard. Click another country to open its page.
- United States38% · 26,375 papers
- China33% · 22,828 papers
- United Kingdom7.5% · 5,251 papers
- Germany7.2% · 4,984 papers
- India4.6% · 3,181 papers
- Canada4.5% · 3,159 papers
- France4.1% · 2,865 papers
- South Korea4.1% · 2,859 papers
- Hong Kong SAR China3.2% · 2,247 papers
- Japan3.2% · 2,234 papers
- Australia3.1% · 2,160 papers
- Italy2.9% · 1,987 papers
- Singapore2.8% · 1,952 papers
- 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.
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