Shengnan Chen
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Anhui Agricultural University, North China Electric Power University, Shenyang University of Technology, China Academy of Printing Technology, Beijing National Laboratory for Molecular Sciences, Research Center for Eco-Environmental Sciences, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Zhejiang University of Water Resources and Electric Poweras 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
- 0000-0002-1704-1007
- OpenAlex ID
- A5041699269as 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 18
A chaotic image encryption algorithm based on random dynamic mixing,
A Comprehensive Evaluation of Well Completion and Production Performance in Bakken Shale Using Data-Driven Approaches,
An image encryption algorithm based on pixel bit operation and nonlinear chaotic system,
An intelligent lithology recognition system for continental shale by using digital coring images and convolutional neural networks,
A Physics-Informed Spatial-Temporal Neural Network for Reservoir Simulation and Uncertainty Quantification,
Applicability of deep neural networks on production forecasting in Bakken shale reservoirs,
Application of the long short-term memory networks for well-testing data interpretation in tight reservoirs,
Chaotic Image Encryption Algorithm Based on Dynamic Spiral Scrambling Transform and Deoxyribonucleic Acid Encoding Operation
+10 more
← Authored by 18
A chaotic image encryption algorithm based on random dynamic mixing,
A Comprehensive Evaluation of Well Completion and Production Performance in Bakken Shale Using Data-Driven Approaches,
An image encryption algorithm based on pixel bit operation and nonlinear chaotic system,
An intelligent lithology recognition system for continental shale by using digital coring images and convolutional neural networks,
A Physics-Informed Spatial-Temporal Neural Network for Reservoir Simulation and Uncertainty Quantification,
Applicability of deep neural networks on production forecasting in Bakken shale reservoirs,
Application of the long short-term memory networks for well-testing data interpretation in tight reservoirs,
Chaotic Image Encryption Algorithm Based on Dynamic Spiral Scrambling Transform and Deoxyribonucleic Acid Encoding Operation
+10 more
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Summary
Shengnan Chen is a human[1].