Fengshan Zhang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Qiqihar University, Qilu University of Technology, Luye Pharma (China), Shanghai Huayi (Group) Companyas 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
- 0000-0002-3642-3246
- OpenAlex ID
- A5073202306, A5120979831, A5126182150, A5130328237, A5135119391, A5136011817, A5136876660, A5136939765as 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 10
A novel fault detection framework integrated with variable importance analysis for quality-related nonlinear process monitoring,
A study on coconut fatty acid diethanolamide-based polyurethane foams,
Effluent Quality Prediction of Papermaking Wastewater Treatment Processes Using Stacking Ensemble Learning,
Enhancing water quality prediction with advanced machine learning techniques: An extreme gradient boosting model based on long short-term memory and autoencoder,
Extended H-bonds/π-bonds networks for boosting electron transfer over polydopamine-covered nanocellulose/g-C3N4 toward efficient photocatalytic H2O2 production,
Fault Detection in Industrial Wastewater Treatment Processes Using Manifold Learning and Support Vector Data Description,
Modeling of Wastewater Treatment Processes Using Dynamic Bayesian Networks Based on Fuzzy PLS,
Monitoring of papermaking wastewater treatment processes using t-distributed stochastic neighbor embedding
+2 more
← Authored by 10
A novel fault detection framework integrated with variable importance analysis for quality-related nonlinear process monitoring,
A study on coconut fatty acid diethanolamide-based polyurethane foams,
Effluent Quality Prediction of Papermaking Wastewater Treatment Processes Using Stacking Ensemble Learning,
Enhancing water quality prediction with advanced machine learning techniques: An extreme gradient boosting model based on long short-term memory and autoencoder,
Extended H-bonds/π-bonds networks for boosting electron transfer over polydopamine-covered nanocellulose/g-C3N4 toward efficient photocatalytic H2O2 production,
Fault Detection in Industrial Wastewater Treatment Processes Using Manifold Learning and Support Vector Data Description,
Modeling of Wastewater Treatment Processes Using Dynamic Bayesian Networks Based on Fuzzy PLS,
Monitoring of papermaking wastewater treatment processes using t-distributed stochastic neighbor embedding
+2 more
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Summary
Fengshan Zhang is a human[1].