Zhongyu Wei
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Autism Research Institute, Fudan University, Shanghai Innovative Research Center of Traditional Chinese Medicineas 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
- 0000-0003-3789-8507
- OpenAlex ID
- A5011504177as 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 51
A benchmark for automatic medical consultation system: frameworks, tasks and datasets,
A Joint Model of Conversational Discourse and Latent Topics on Microblogs,
A learning-based framework for miRNA-disease association identification using neural networks,
A Lexicon-Based Graph Neural Network for Chinese NER,
Align Voting Behavior with Public Statements for Legislator Representation Learning,
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation,
An Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving,
An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction
+43 more
← Authored by 51
A benchmark for automatic medical consultation system: frameworks, tasks and datasets,
A Joint Model of Conversational Discourse and Latent Topics on Microblogs,
A learning-based framework for miRNA-disease association identification using neural networks,
A Lexicon-Based Graph Neural Network for Chinese NER,
Align Voting Behavior with Public Statements for Legislator Representation Learning,
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation,
An Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving,
An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction
+43 more
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Summary
Zhongyu Wei is a human[1].