Chengye Li
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Wenzhou Medical University, The 1st Affiliated 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
- 0000-0002-7048-3736
- OpenAlex ID
- A5056280508as 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 32
A multi-strategy enhanced salp swarm algorithm for global optimization,
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study,
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks,
An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images,
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features,
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation,
Boosted binary Harris hawks optimizer and feature selection,
Boosted hunting-based fruit fly optimization and advances in real-world problems
+24 more
← Authored by 32
A multi-strategy enhanced salp swarm algorithm for global optimization,
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study,
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks,
An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images,
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features,
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation,
Boosted binary Harris hawks optimizer and feature selection,
Boosted hunting-based fruit fly optimization and advances in real-world problems
+24 more
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Summary
Chengye Li is a human[1].