Honggui Han
12Patents
3h-index
18Co-inventors
53Inventor score
Filing activity: Apr 29, 2010 → Mar 9, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8321053B2 | Flexible two-wheeled self-balancing robot system and its motion control method | Performing Operations; Transporting | 10 | Active |
| US10570024B2 | Method for effluent total nitrogen-based on a recurrent self-organizing RBF neural network | Chemistry; Metallurgy | 3 | Active |
| US10919791B2 | Intelligent identification method of sludge bulking based on type-2 fuzzy neural network | Emerging Cross-Sectional Technologies | 3 | Active |
| US12105075B2 | Total nitrogen intelligent detection method based on multi-objective optimized fuzzy neural network | Chemistry; Metallurgy | 2 | Active |
| US11530139B2 | Type-2 fuzzy neural network-based cooperative control method for wastewater treatment process | Chemistry; Metallurgy | 1 | Active |
| US12421143B2 | Cooperative optimal control method and system for wastewater treatment process | Emerging Cross-Sectional Technologies | 0 | Active |
| US10788473B2 | Computing system for detecting total phosphorus in effluent using data driven A2/O process | Physics | 0 | Active |
| US9633307B2 | Method to predict the effluent ammonia-nitrogen concentration based on a recurrent self-organizing neural network | Physics | 0 | Active |
| US11346831B2 | Intelligent detection method for biochemical oxygen demand based on a self-organizing recurrent RBF neural network | Physics | 0 | Active |
| US11144816B2 | Fault identifying method for sludge bulking based on a recurrent RBF neural network | Emerging Cross-Sectional Technologies | 0 | Active |
| US10539546B2 | Measuring phosphorus in wastewater using a self-organizing RBF neural network | Chemistry; Metallurgy | 0 | Active |
| US12417371B2 | Optimal control method for wastewater treatment process based on self-adjusting multi-task particle swarm optimization | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.