Feng Bin

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Feng Bin topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Feng Bin.

Related topics: 12
Source areas: 1
Connected nodes: 13
Extracted relationships: 13
Concept neighborhoods: 12
Bridge connections: 13

What this topic covers Research coverage

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.

Overview · 12 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Born: (1994-04-03) April 3, 1994 (age 32) Penglai District, China
Event: Discus throw
Height: 1.84 m (6 ft 0 in)
Nationality: Chinese
Personal best: Discus throw: 69.12 m (2022)
Sport: Track and field

Explore all related topics Closing gaps

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.

Overview

Simplified Chinese Simplified Chinese characters
Traditional Chinese Traditional Chinese characters
Pinyin
Track and field
Discus throw
2024 Summer Olympics Athletics at the 2024 Summer Olympics – Women's discus throw
2022 World Athletics Championships
Chinese Athletics Championships
World Youth Championships in Athletics
2015 Military World Games
Su Xinyue
Chen Yang Chen Yang (discus thrower)

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Feng Bin connects Entity context

The extracted context around Feng Bin shows recurring relationship patterns in the source. For example, Feng Bin → Bin, Chinese Olympic Committee, InterSportStats, OlympediaFeng Bin, Olympics, World AthleticsFeng Bin Another extracted example is Feng Bin → (1994-04-03) April 3, 1994 (age 32) Penglai District, China. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to External links · 6

Feng Bin → Bin, Chinese Olympic Committee, InterSportStats, OlympediaFeng Bin, Olympics, World AthleticsFeng Bin

Born · 1

Feng Bin → (1994-04-03) April 3, 1994 (age 32) Penglai District, China

Event · 1

Feng Bin → Discus throw

Height · 1

Feng Bin → 1.84 m (6 ft 0 in)

Nationality · 1

Feng Bin → Chinese

Personal best · 1

Feng Bin → Discus throw: 69.12 m (2022)

Sport · 1

Feng Bin → Track and field

Weight · 1

Feng Bin → 95 kg (209 lb)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

chinese world athletics discus championships feng medal personal best olympics bin summer win 2016 born track field throw silver 2024

Feng Bin relationships Subject–Predicate–Object triples

TTTA extracted 13 structured relationships around Feng Bin. Examples in this analysis include Feng Bin → Born → (1994-04-03) April 3, 1994 (age 32) Penglai District, China and Feng Bin → Event → Discus throw. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Feng Bin	Born	(1994-04-03) April 3, 1994 (age 32) Penglai District, China	1.00	infobox
Feng Bin	Event	Discus throw	1.00	infobox
Feng Bin	Height	1.84 m (6 ft 0 in)	1.00	infobox
Feng Bin	Nationality	Chinese	1.00	infobox
Feng Bin	Personal best	Discus throw: 69.12 m (2022)	1.00	infobox
Feng Bin	Sport	Track and field	1.00	infobox
Feng Bin	Weight	95 kg (209 lb)	1.00	infobox
Feng Bin	related to External links	World AthleticsFeng Bin	0.60	section
Feng Bin	related to External links	Olympics	0.60	section
Feng Bin	related to External links	Bin	0.60	section
Feng Bin	related to External links	Chinese Olympic Committee	0.60	section
Feng Bin	related to External links	OlympediaFeng Bin	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Feng Bin bring nearby vocabulary together. In this analysis, examples include Born, Feng and Field. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Feng Bin
- Born
- Feng
- Field
- Games
- Gold
- Throw
- Track
- Best
- Medal
- Personal
- Chinese
- Discus
feng bin
- Born
- Field
- Throw
- Track
- Feng
- Games
- Gold
- April
- Athlete
- Best
- Bīn
- Chinese
simplified chinese
- Féng
- Pinyin
- Traditional
- 冯彬
- 馮彬
- Discus
- Born
- Field
- Throw
- Track
- Feng
- Olympics
traditional chinese
- 冯彬
- 馮彬
- Discus
- Born
- Field
- Throw
- Track
- Feng
- Olympics
- Athletics
- Championships
- April
discus throw
- Track
- Field
- Olympic
- Throw
- Traditional
- 冯彬
- 馮彬
- Feng
- Olympics
- Athletics
- Championships
- Ft
chinese athletics championships
- Championships
- Discus
- World
- Born
- Field
- Ft
- Height
- Mw-parser-output
- Throw
- Track
- Best
- Feng
2022 world athletics championships
- Championships
- Best
- Personal
- Athletics
- World
- Ft
- Games
- Gold
- Height
- Mw-parser-output
- Win
- Feng
world youth championships in athletics
- Championships
- Best
- Personal
- Athletics
- World
- Ft
- Games
- Gold
- Height
- Mw-parser-output
- Win
- Feng

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Feng Bin map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Feng Bin

Nodes14

Edges13

Triples13

Avg. degree1.86

Density0.142857

Components1

Source & methodology

TTTA analyzes the structure around Feng Bin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Feng Bin · EN edition · Analysis: TopicsToTalkAbout