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Country of the labs · world rank 30

AI research: Vietnam

Located papers

451

This month

0

−100% vs previous month

Subjects covered

142

This page only covers the 451 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: Vietnam

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.

20 most recent papers

Latest ingests

PaperAbstractThemeTopic
KOALA: Koopman Operator Learning for WiFi-Based Anticipatory Hum

18 August 2026

WiFi Channel State Information (CSI) has emerged as a privacy-preserving alternative to cameras for human pose estimation. However, existing approaches treat pose inference as an…ElectronicsIndoor and Outdoor Localization Technologies
Beyond Uncertainty: Generalizable Failure Monitoring for Surgical Segmentation under Acquisition Degradation

18 August 2026

Surgical segmentation networks can fail silently under acquisition degradation: predicted masks may be wrong even when model confidence remains high. Existing deployment-time…VisionAdvanced Neural Network Applications
ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution

18 August 2026

To accelerate single image super-resolution (SISR) networks on large images (2K-8K), many recent approaches decompose an image into small patches and dynamically determine an…VisionAdvanced Image Processing Techniques
OpenBelief-Nav: Evidence-Preserving Object Memory for Open-Vocabulary Language-Guided Navigation

17 August 2026

Open-vocabulary 3D scene graphs provide compact semantic memory for language-guided navigation, but mapped objects are often exposed through a single fused feature or committed…VisionMultimodal Machine Learning Applications
Heterogeneous Vision-Language Ensemble with Disagreement-Aware Reranking for Text-Based Person Anomaly Retrieval

14 August 2026

Text-based person anomaly retrieval aims to retrieve pedestrians exhibiting anomalous behaviors from a large image gallery using natural language descriptions. Compared with…AIAnomaly Detection Techniques and Applications
ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts

14 August 2026

This paper introduces ViTOED, a novel dataset for target-oriented emotion detection in Vietnamese social media texts. The ViTOED comprises 10,985 user comments and 21,244 manually…AISentiment Analysis and Opinion Mining
CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

13 August 2026

Semi-supervised histopathology segmentation is challenging due to scarce annotations and unreliable pseudo-labels in ambiguous gland regions. To address this problem, we propose…AIAI in cancer detection
ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

13 August 2026

Weakly supervised semantic segmentation enables histopathology tissue segmentation from image-level annotations, avoiding costly pixel-level labeling by expert pathologists.…AIAI in cancer detection
REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs

12 August 2026

We present the REAP system for the AKBC Shared Task 2026 on constructing knowledge bases from language models in a closed-book setting, subject to a budget of at most 32B…AILarge Language Models
Decodable but Not Accessible: Auditing Distance-Based Reliability Estimation on Disentangled Skin-Lesion Representations

11 August 2026

Distance-based reliability estimation assumes that a representation's geometry reflects its trustworthiness, yet this assumption is rarely tested under training interventions that…AIAdversarial Robustness in Machine Learning
GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction

11 August 2026

Long-horizon future-frame prediction is important for autonomous driving, traffic surveillance, and intelligent transportation systems, yet remains challenging due to temporal…Building and ConstructionTraffic Prediction and Management Techniques
FaLCon: Facet-Anchored Retrieval with Late Consensus for Sim2Real Text-Based Person Anomaly Search

11 August 2026

Text-based person anomaly search requires retrieving real-world pedestrian images from detailed natural-language descriptions using models trained primarily on synthetic data.…VisionMultimodal Machine Learning Applications
Semi-Dense Matching Uncertainty Is Not Just Local Confidence

11 August 2026

Reliable semi-dense matching is essential for modern geometric vision systems. Designed under a coarse-to-fine paradigm, it achieves an optimal balance between performance and…VisionAdvanced Vision and Imaging
Lightweight 3D Object Detection via Mamba-Based Knowledge Distillation

5 August 2026

3D object detection using light detection and ranging (LiDAR) sensors requires a balance between accuracy and computational efficiency for onboard perception in autonomous driving…VisionAdvanced Neural Network Applications
SeCo-SBIR: Semantically Consistent Prompt Learning for Zero-Shot Sketch-Based Image Retrieval

5 August 2026

Adapting CLIP for zero-shot sketch-based image retrieval (ZS-SBIR) via prompt learning faces a fundamental tension: the model must bridge the sketch-photo domain gap through…VisionMultimodal Machine Learning Applications
SpatialQuery: Benchmarking Geometry-Grounded Multi-Instance Spatial Reasoning in Vision-Language Models

4 August 2026

Vision-language models (VLMs) achieve strong semantic understanding but remain unreliable in metric spatial reasoning, particularly when queries require comparing multiple…VisionMultimodal Machine Learning Applications
When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins

4 August 2026

Cardiac digital twins convert clinical images into physiological measurements through observation operators, yet calibration studies often assume a fixed reference convention.…Cardiology and Cardiovascular MedicineCardiovascular Function and Risk Factors
Learning to See Locally and Align Clinically with Pathology Semantics for Radiology Report Generation

4 August 2026

Recent radiology-adapted vision-language models have achieved strong performance on standard report generation benchmarks, yet their robustness and generalization remain…VisionMultimodal Machine Learning Applications
Beyond Sentiment: Structured Information Extraction from Financial News

31 July 2026

Financial sentiment analysis has become a standard component in news-driven stock prediction, yet it reduces rich, multi-dimensional news articles to a single polarity score. We…Operations res.Stock Market Forecasting Methods
Unifying Adversarially Robust Model Experts in Vision-Language Models

31 July 2026

Vision-language models (VLMs), such as CLIP, are vulnerable to adversarial attacks, posing a serious problem for real-life applications and deployment. Adversarial fine-tuning…AIAdversarial Robustness in Machine Learning

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.

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