Chen Lin
15Patents
2h-index
19Co-inventors
43Inventor score
Filing activity: Dec 20, 2017 → Apr 13, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11663115B2 | Generation of microservices from a monolithic application based on runtime traces | Physics | 2 | Active |
| US11176027B1 | Generation of microservices from a monolithic application based on runtime traces | Physics | 2 | Active |
| US10831772B2 | Facilitation of domain and client-specific application program interface recommendations | Physics | 1 | Active |
| US11664130B2 | Predicting infection risk using heterogeneous temporal graphs | Electricity | 1 | Active |
| US11727119B2 | Migration risk assessment, recommendation, and implementation | Physics | 0 | Active |
| US12124924B2 | Machine-learning model to predict probability of success of an operator in a PaaS cloud environment | Physics | 0 | Active |
| US11360877B2 | Forming microservices from monolithic applications | Physics | 0 | Active |
| US10803108B2 | Facilitation of domain and client-specific application program interface recommendations | Physics | 0 | Active |
| US11520783B2 | Automated validity evaluation for dynamic amendment | Physics | 0 | Active |
| US11586812B2 | Unsupervised generation of rules for an adapter grammar | Physics | 0 | Active |
| US11940904B2 | Generation of microservices from a monolithic application based on runtime traces | Physics | 0 | Active |
| US12346725B2 | Artificial intelligence optimized cloud migration | Physics | 0 | Active |
| US11023530B2 | Predicting user preferences and requirements for cloud migration | Physics | 0 | Active |
| US11501165B2 | Contrastive neural network training in an active learning environment | Physics | 0 | Active |
| US11269625B1 | Method and system to identify and prioritize re-factoring to improve micro-service identification | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.