Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Lu Shanglei (Chinese: 卢尚磊; born 10 July 1995) is a Chinese chess grandmaster and 2014 World Junior Chess Champion.
Career & Overview
Explore the main themes, entities and connections around Lu Shanglei. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
lu chess chinese won blitz world shanglei grandmaster team china 2026 fide cup championship open match 2015 2014 junior august
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Lu Shanglei | Born | (1995-07-10) 10 July 1995 (age 31) Shenyang[citation needed], Liaoning province | 1.00 | infobox |
| Lu Shanglei | Country | China | 1.00 | infobox |
| Lu Shanglei | FIDE rating | 2637 (August 2026) | 1.00 | infobox |
| Lu Shanglei | Peak ranking | No. 75 (March 2026) | 1.00 | infobox |
| Lu Shanglei | Peak rating | 2647 (May 2025) | 1.00 | infobox |
| Lu Shanglei | Ranking | No. 86 (August 2026) | 1.00 | infobox |
| Lu Shanglei | Title | Grandmaster (2011) | 1.00 | infobox |
| Lu Shanglei | related to External links | FIDELu Shanglei | 0.60 | section |
| Lu Shanglei | related to External links | Shanglei | 0.60 | section |
| Lu Shanglei | related to External links | Chessgames | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.