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Xiamen, historically romanized as Amoy, is a sub-provincial city in southeastern Fujian, People's Republic of China, beside the Taiwan Strait. It is divided into six districts: Huli, Siming, Jimei, Tong'an, Haicang, and Xiang'an. All together, these cover an area of 1,700.61 square kilometers (656.61 sq mi) with a population of 5,163,970 as of 2020 and…
The analysis highlights History, Geography, Community and Culture as prominent areas in the source structure around Xiamen.
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 Xiamen shows recurring relationship patterns in the source. For example, Xiamen → Africa, Applied Sciences, Arts, Attracting, Central Taiwan University, China, China University, Chinese, Chinese Language, Confucius Institutes, Culture College, Daegu Haany University, Daejeon University, Deagu, Design, Education, Europe, Fooyin University, Fujian Provincial Department, Fuzhou University Another extracted example is Xiamen → At, Australia, Canada, Catholic University, Central Lancashire, Deakin University, December, Dublin Business School, Feng Chia University, Fujian, Hosan University, India, Institute, Ireland, It, New Zealand, Performing Arts, Sangmyung University, Singapore, Software Technology. 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.
island china fujian taiwan chinese city first also international citation needed gulangyu port one area haicang kinmen including people zone
TTTA extracted 671 structured relationships around Xiamen. Examples in this analysis include Xiamen → Area code → 592 and Xiamen → Country → China. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Xiamen | Area code | 592 | 1.00 | infobox |
| Xiamen | Country | China | 1.00 | infobox |
| Xiamen | County-level divisions | 6 districts | 1.00 | infobox |
| Xiamen | ISO 3166 code | CN-FJ-02 | 1.00 | infobox |
| Xiamen | Language | Mandarin (official) | 1.00 | infobox |
| Xiamen | Language | Tong'an Hokkien (majority) | 1.00 | infobox |
| Xiamen | Language | Amoy Hokkien (island) | 1.00 | infobox |
| Xiamen | License plate prefixes | 闽D | 1.00 | infobox |
| Xiamen | Municipal seat | Siming District | 1.00 | infobox |
| Xiamen | Postal code | 361000 | 1.00 | infobox |
| Xiamen | Province | Fujian | 1.00 | infobox |
| Xiamen | Time zone | UTC+8 (CST) | 1.00 | infobox |
| Xiamen | Website | xm.gov.cn | 1.00 | infobox |
| Xiamen | • Body | Xiamen Municipal People's Congress | 1.00 | infobox |
| Xiamen | • CCP Secretary | Lin Tao | 1.00 | infobox |
| Xiamen | • City | 1,700.61 km2 (656.61 sq mi) | 1.00 | infobox |
| Xiamen | • City | 5,163,970 | 1.00 | infobox |
| Xiamen | • Congress Chairman | Yang Guohao | 1.00 | infobox |
| Xiamen | • CPPCC Chairman | Zhang Guowang | 1.00 | infobox |
| Xiamen | • Density | 3,036.54/km2 (7,864.60/sq mi) | 1.00 | infobox |
| Xiamen | • Major nationalities | Han: 96% | 1.00 | infobox |
| Xiamen | • Major nationalities | Manchu: 2% | 1.00 | infobox |
| Xiamen | • Major nationalities | Hui: 2% | 1.00 | infobox |
| Xiamen | • Major nationalities | Mongolian: 0.3% | 1.00 | infobox |
| Xiamen | • Mayor | Wu Bin | 1.00 | infobox |
| Xiamen | • Metro | 4,290.84 km2 (1,656.70 sq mi) | 1.00 | infobox |
| Xiamen | • Metro | 5,163,970 | 1.00 | infobox |
| Xiamen | • Metro density | 1,203.49/km2 (3,117.02/sq mi) | 1.00 | infobox |
| Xiamen | • Per capita(2025) | RMB 167,622 USD 23,467 | 1.00 | infobox |
| Xiamen | • Prefecture-level and Sub-provincial city(2025) | RMB 898.037 billion USD 125.724 billion | 1.00 | infobox |
The concept neighborhoods around Xiamen bring nearby vocabulary together. In this analysis, examples include Citation, Needed and Base. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Xiamen, one of the stronger structural bridges in this analysis connects Xiamen 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 Xiamen to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Community & Culture, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Xiamen · EN edition · Analysis: TopicsToTalkAbout