Peng-Hung Tsai Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Biography and Research Information
OverviewAI-generated summary
Peng-Hung Tsai's research focuses on quantitative technology forecasting and trend extrapolation methods. He investigates the prediction of future trends by analyzing historical data, particularly in the context of space exploration technology and satellite lifespans. His work explores the application of advanced techniques, such as Long Short-Term Memory (LSTM) neural networks, to analyze trends in satellite lifetime data and technology forecasting. Tsai also examines the nature of technological progress, questioning whether it follows a random walk pattern based on space travel data. His research extends to healthcare, with a publication on a method for analyzing trends in kidney cancer survival by integrating recent data. Tsai has a notable record of collaboration, with numerous shared publications with Daniel Berleant at the University of Arkansas at Little Rock and Richard S. Segall at Arkansas State University.
Metrics
- h-index: 2
- Publications: 10
- Citations: 29
Selected Publications
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Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival (2025)
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Predicting Future Participation of Women in Space by Analyzing Past Trends (2024)
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Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods (2023)
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Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives (2022)
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Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives (2022)
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Is technological progress a random walk? Examining data from space travel (2021)
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Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan (2021)
Collaboration Network
Top Collaborators
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 10 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 7 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 6 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
- Forecasting of a Technology Using Quantitative Satellite Lifetime Data
- Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival
- Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data
- Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival
- Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data
- Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival
- Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Predicting Future Participation of Women in Space by Analyzing Past Trends
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