Bin Kong
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Shenzhen University, Fudan University, Hunan Xiangdian Test Research Institute (China), Shenzhen Second People's Hospitalas 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
- 0000-0003-2108-5341as 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
- OpenAlex ID
- A5101560782as 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 24
An algorithm of imaging simulation of fog with different visibility,
An Attention-Based CNN-LSTM Method for Effluent Wastewater Quality Prediction,
An Automatic Measurement Method for Absolute Depth of Objects in Two Monocular Images Based on SIFT Feature,
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning,
A real‐time lane detection network using two‐directional separation attention,
Artificial neural network application to study quantitative relationship between silicide and fracture toughness of Nb-Si alloys,
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation,
DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation
+16 more
← Authored by 24
An algorithm of imaging simulation of fog with different visibility,
An Attention-Based CNN-LSTM Method for Effluent Wastewater Quality Prediction,
An Automatic Measurement Method for Absolute Depth of Objects in Two Monocular Images Based on SIFT Feature,
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning,
A real‐time lane detection network using two‐directional separation attention,
Artificial neural network application to study quantitative relationship between silicide and fracture toughness of Nb-Si alloys,
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation,
DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation
+16 more
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Summary
Bin Kong is a human[1].