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Robin Li Yanhong (Chinese: 李彦宏; pinyin: Lǐ Yànhóng; born 17 November 1968) is a Chinese software engineer and billionaire internet entrepreneur who is the co-founder and chief executive officer of Chinese multinational technology company Baidu. As of May 2025, his net worth was estimated at US$5.5 billion by Forbes.
The analysis highlights Technology and Companies as prominent areas in the source structure around Robin Li. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.
The extracted context around Robin Li shows recurring relationship patterns in the source. For example, Robin Li → Archived, Asia, China's Web, January, May, Melanie Lee, NEWSMAKER-Baidu, Reuters, September, Stanford University's Entrepreneurship Corner, Wayback Machine Another extracted example is Robin Li → New Oriental. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
li baidu chinese rankdex search company may software university ceo information born engineer internet peking buffalo engine named 2014 robin
TTTA extracted 26 structured relationships around Robin Li. Examples in this analysis include Robin Li → Board member of → New Oriental and Robin Li → Born → (1968-11-17) 17 November 1968 (age 57) Yangquan, Shanxi, China. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Robin Li | Board member of | New Oriental | 1.00 | infobox |
| Robin Li | Born | (1968-11-17) 17 November 1968 (age 57) Yangquan, Shanxi, China | 1.00 | infobox |
| Robin Li | Children | 4 | 1.00 | infobox |
| Robin Li | Education | Peking University (BMgt) University at Buffalo (MS) | 1.00 | infobox |
| Robin Li | Father | Li Guifu (李贵富) | 1.00 | infobox |
| Robin Li | Gwoyeu Romatzyh | Lii Yannhorng | 1.00 | infobox |
| Robin Li | Hanyu Pinyin | Lǐ Yànhóng | 1.00 | infobox |
| Robin Li | IPA | [lì jɛ̂nxʊ̌ŋ] | 1.00 | infobox |
| Robin Li | Occupations | Software engineer, internet entrepreneur | 1.00 | infobox |
| Robin Li | Simplified Chinese | 李彦宏 | 1.00 | infobox |
| Robin Li | Spouse | Ma Dongmin (马东敏) | 1.00 | infobox |
| Robin Li | Title | Co-founder and CEO of Baidu Chairman of iQIYI | 1.00 | infobox |
| Robin Li | Traditional Chinese | 李彥宏 | 1.00 | infobox |
| Robin Li | Transcriptions | TranscriptionsStandard MandarinHanyu PinyinLǐ YànhóngGwoyeu RomatzyhLii YannhorngWade–GilesLi YenhungIPA[lì jɛ̂nxʊ̌ŋ] | 1.00 | infobox |
| Robin Li | Wade–Giles | Li Yenhung | 1.00 | infobox |
The concept neighborhoods around Robin Li bring nearby vocabulary together. In this analysis, examples include Born, Co-founder and Entrepreneur. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Robin Li, one of the stronger structural bridges in this analysis connects Robin Li with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Robin Li to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Robin Li · EN edition · Analysis: TopicsToTalkAbout