Xiaoting Li
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Shenyang Pharmaceutical University, Yanbian Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-9032-8672
- OpenAlex ID
- A5100621456as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 15
Abacus: Precise Side-Channel Analysis,
Acoustic emission-based flow noise detection and mechanism analysis for gas-liquid two-phase flow,
A low-noise CMOS pixel direct charge sensor, Topmetal-II,
Analysis of chaos characteristics of gas-liquid two-phase flow noise,
A PCA-Based Approach for Very Early-Age Hydration Monitoring of Self-Compacting Concrete Using Embedded PZT Sensors,
Automatic segmentation of rectal tumor on diffusion‐weighted images by deep learning with U‐Net,
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing,
Deep learning model improves radiologists’ performance in detection and classification of breast lesions
+7 more
← Authored by 15
Abacus: Precise Side-Channel Analysis,
Acoustic emission-based flow noise detection and mechanism analysis for gas-liquid two-phase flow,
A low-noise CMOS pixel direct charge sensor, Topmetal-II,
Analysis of chaos characteristics of gas-liquid two-phase flow noise,
A PCA-Based Approach for Very Early-Age Hydration Monitoring of Self-Compacting Concrete Using Embedded PZT Sensors,
Automatic segmentation of rectal tumor on diffusion‐weighted images by deep learning with U‐Net,
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing,
Deep learning model improves radiologists’ performance in detection and classification of breast lesions
+7 more
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Summary
Xiaoting Li is a human[1].