Gengchen Mai
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Texas at Austinas 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
- 0000-0002-7818-7309
- OpenAlex ID
- A5036007312, A5015031548as 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
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 24
ADCN: An anisotropic density‐based clustering algorithm for discovering spatial point patterns with noise,
A spatially explicit reinforcement learning model for geographic knowledge graph summarization,
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs,
Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines.,
Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes.,
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications,
From ITDL to Place2Vec,
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages
+16 more
← Authored by 24
ADCN: An anisotropic density‐based clustering algorithm for discovering spatial point patterns with noise,
A spatially explicit reinforcement learning model for geographic knowledge graph summarization,
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs,
Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines.,
Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes.,
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications,
From ITDL to Place2Vec,
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages
+16 more
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Summary
Gengchen Mai is a human[1].