Hongming Chen
researcher (chemistry)
Facts
5 properties- Instance of
- human
- Occupation
- researcher
- Employer
- AstraZeneca AB[2]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Hongming Chen
🔖 Identifiers · 9
- ORCID iD
- 0000-0002-4470-876X
- OpenAlex ID
- A5100729955as 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
- Crunchbase person ID
- hongming-chen
- Google Knowledge Graph ID
- /g/11fy1pyjpj
- Google Scholar author ID
- -kg2apoAAAAJ
- LinkedIn personal profile ID
- hongmingchen
- Loop ID
- 814324
- ResearchGate profile ID
- Hongming-Chen-3
- Semantic Scholar author ID
- 47666639
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 18
A de novo molecular generation method using latent vector based generative adversarial network,
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models,
Application of Generative Autoencoder in <i>De Novo</i> Molecular Design,
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets,
Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability,
Comparative Study of Deep Generative Models on Chemical Space Coverage,
Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks,
Enhancing Generic Reaction Yield Prediction through Reaction Condition-Based Contrastive Learning
+10 more
← Authored by 18
A de novo molecular generation method using latent vector based generative adversarial network,
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models,
Application of Generative Autoencoder in <i>De Novo</i> Molecular Design,
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets,
Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability,
Comparative Study of Deep Generative Models on Chemical Space Coverage,
Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks,
Enhancing Generic Reaction Yield Prediction through Reaction Condition-Based Contrastive Learning
+10 more
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