Ming Xiang
14Patents
2h-index
24Co-inventors
54Inventor score
Filing activity: Sep 17, 1997 → Oct 8, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US5866241A | Microscope slide with colorfrost and non-colorfrost surfaces | Emerging Cross-Sectional Technologies | 9 | Expired |
| US10847589B2 | OLED display panel and method for manufacturing same | Electricity | 3 | Active |
| US9900446B2 | Information processing method using virtual subscriber identification card information, electronic apparatus and server | Electricity | 0 | Active |
| US11874640B2 | Wind power prediction method and system for optimizing deep transformer network | Electricity | 0 | Active |
| US11374038B2 | Array substrate having protection region on same layer as gate insulating layer and manufacturing method thereof | Electricity | 0 | Active |
| US11094719B2 | Method of manufacturing display panel, display panel, and display device | Electricity | 0 | Active |
| US11154567B2 | Method for treating liver disease with kinsenoside | Human Necessities | 0 | Active |
| US10789884B2 | Electrogenerated organic light-emitting diode device, manufacturing method, and display device thereof | Electricity | 0 | Active |
| US10950436B2 | Array substrate manufacturing using fluorine and hydrogenation processes | Electricity | 0 | Active |
| US11302756B2 | Display unit, display unit manufacturing method and organic light emitting diode display device with desiccants | Electricity | 0 | Active |
| US9633208B2 | Apparatus and method for displaying computer health index | Physics | 0 | Active |
| US9419987B2 | Method and device for prompting information about e-mail | Electricity | 0 | Active |
| US11694011B2 | Circuit health state prediction method and system based on integrated deep neural network | Emerging Cross-Sectional Technologies | 0 | Active |
| US10169590B2 | Apparatus and method for displaying computer health index | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.