i10 Productivity
Rankings

Tzu Chi University ScientistsEngineering & Technology / Environmental Science & Engineering i10 Productivity Rankings 2024

Productivity Rankings is a unique service offered only by “AD Scientific Index”. This is a ranking system derived from the i10 index in order to show the productivity of the scientist in publishing scientific articles of value. Productivity Rankings is an instrument that lists productive scientists in a given area, discipline, university, and country and can guide the development of meaningful incentives and academic policies. The world rankings, regional rankings, and university rankings of scientists in this table are developed based on the total i10 index. Click for "last 6 years' i10 index"Also see: Universities Rankings 2024 (Sort by : Total i10 Index)  and Universities Rankings 2024 (Sort by : Last 6 Years i10 Index)

* Total i10 Index Rankings
World Rank
1,080,164
Country Rank
6,958
Institution Rank
37
Taiwan
Chien-Che Hung
Enviromental Health
Environmental Toxicology
Exposure and risk assessment
Environmental Monitoring
Biomonitoring
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
6
6
1.000
* Total i10 Index Rankings
World Rank
1,628,215
Country Rank
9,092
Institution Rank
954
Taiwan
Tzu-Chi Lin
Air quality prediction
Machine learning
Spatio-temporal features
Geographic information system
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
1
1
1.000
Total i10 Index AD Scientific Index - World Scientists i10 Productivity Rankings - 2024 i10 Index Metrics
University Rank Country Rank Region Rank World Rank Name Country University / Institution Subject
Research Areas
Total Last 6 Year Last 6 year/total
37 6,958 248,785 1,080,164 Taiwan Taiwan Tzu Chi University Tzu Chi University Engineering & Technology / Environmental Science & Engineering

Enviromental Health | Environmental Toxicology | Exposure and risk assessment | Environmental Monitoring | Biomonitoring |

6 6 1.000
954 9,092 430,842 1,628,215 Taiwan Taiwan National Taiwan University National Taiwan University Engineering & Technology / Environmental Science & Engineering

Air quality prediction | Machine learning | Spatio-temporal features | Geographic information system |

1 1 1.000