High-Tech Industry Innovation Metrics for Four Chinese Cities, 2016-2025

China's high-tech innovation landscape is analyzed through over 39,000 Web of Science publications and nearly 10,000 patent records from 2016 to 2025. The data covers Wuhan, Chengdu, Hangzhou, and Tianjin across AI, fiber-optic communication, intelligent vehicles, and storage chips. Author Hua Song compiled this dataset, last updated in May 2026, using bibliometric analysis and LLM-assisted semantic interpretation.

Use Cases

• Compare urban innovation trajectories based on publication and patent output across four cities
• Analyze technological specialization patterns in domains like AI and fiber-optic communication
• Map collaboration network structures among actors in regional innovation systems
• Benchmark academic output against technological translation using bibliometric and patent data

Strengths

• Includes over 39,000 publications and nearly 10,000 patent records, providing substantial textual data
• Covers a defined 2016-2025 time range and four specific Chinese cities
• Employs an integrated analytical framework combining bibliometrics, network modeling, and LLM-assisted interpretation

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is very small at 9.5 KB, indicating limited scope or highly summarized data

Provenance

Source

Web of Science and a national patent database

Collection Method

Compiled via bibliometric analysis, co-word network modeling, collaboration network mapping, and LLM-assisted semantic interpretation

Time Range

2016-2025

Freshness

Last updated 2026-05-14 17:26:42

Geography

China, specifically Wuhan, Chengdu, Hangzhou, and Tianjin