(1) 期刊 Journal Papers :

1. Lin, Y.-A., Chung, K. S.*, Hsu, Y.-C., Yang, T.-H., Tsai, C.-C., Liao, H.-H. (2026, April). Criticality of Ten-Minute Precipitation Resolution for Enhancing Flood Inundation Simulations in Rapidly Responding Basins. Journal of Hydrology: Regional Studies, (under review)
2. Lin, C.-Y., Kunga, I.-T., Yang, T.-H.* (2026, April). A Statistically Integrated Approach for Assessing Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios. Journal of Hydrology: Regional Studies, (revised)
3. Chen, L. F., & Yang, T. H.* (2026, April). Combining satellite imagery and digital elevation models to create flood depth maps for urban areas. Taiwan Water Conservancy, accepted. (EI)
4. Yang, T. H.*, & Lin, J. C. (2025, December). Using Physically Estimated Temperatures as Inputs to Enhance the Performance of an LSTM Model for Predicting Water Temperatures in Fishponds. Smart Agricultural Technology, 101563. (N/M=4/126=3.17%, AGRONOMY, 2023)
5. Ou, T.-H. Ou, Yang, T.-H.*, & Chang, P.-Z. (2025, April). Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study. Water 2025, 17(7), 1055. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
6. Yang, T. H., Wijaya, O. T.*, Ardianto, S., & Christian, A. B. (2025, September). A Novel Multimodal Large Language Model-Based Approach for Urban Flood Detection Using Open-Access Closed Circuit Television in Bandung, Indonesia. Water, 17(18), 2739. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
7. 田芫瑗、楊尊華*，(2025, March)，初探貝葉斯定理評估臺灣工業區洪水損失的可行性，台灣水利，第七十三卷 第一期。(EI)
8. Li, H. H., Yang, T. H.*, & Tsai, C. C. (2024, December). Integration of the WRF model and IoT sensors to develop an early cold snap warning system for inland fishponds. Smart Agricultural Technology, 100561. (N/M=4/126=3.17%, AGRONOMY, 2023)
9. Wijaya, O. T.*, & Yang, T. H. (2024, May). Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018. In IOP Conference Series: Earth and Environmental Science (Vol. 1343, No. 1, p. 012017). IOP Publishing. (EI)
10. Yang, T. H.*, & Kao, H. M. (2023, November). Develop a bottom-up flood early warning system: a community perspective. In IET Conference Proceedings CP868 (Vol. 2023, No. 45, pp. 41-43). Stevenage, UK: The Institution of Engineering and Technology. (EI)
11. 陳立凡、楊尊華*，(2023, October)，應用Google Earth Engine與FwDET-GEE產生淹水地圖-以台南市、嘉義縣及屏東縣為例 ，中國土木水利工程學刊，第三十五卷 第六期。(EI)
12. Wijaya, O. T., Yang, T. H.*, Hsu, H. M., & Gourbesville, P. (2023, April). A Rapid Flood Inundation Model for Urban Flood Analyses. Methods X, 10, 102202. (N/M=58/135=42.96%, MULTIDISCIPLINARY SCIENCES, 2021)
13. 陳映彤、蕭學勇、楊尊華*、鄭兆尊、張雅琪，(2023, June)，未來氣候變遷條件下之漁業損失與調適措施成效，土木水利，第五十卷 第三期，DOI: 10.6653/MoCICHE.202306_50(3).0007。(EI)
14. Tseng, K.-H., Yang, T.- H., Chen, P.-Y., Chien, H., Chen, C.-F., Hung, Y.-C. (2022, December). Exploring the Feasibility of Mitigating Flood Hazards by an Existing Pond System in Taoyuan, Taiwan. Drones, 7, 1. (N/M=14/63=22.22% REMOTE SENSING, 2023)
15. Liu, C. H., Yang, T. H.*., & Wijaya, O. T. (2022, November). Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting. Sensors, 22(21), 8532. (N/M=19/64=29.69%, INSTRUMENTS & INSTRUMENTATION, 2021)

(2) 研討會 Conference Papers :

1. Chien, K.-Y.*, Yang, T.-H. (2026, May), Improvement of an Cellular Automata Model for Urban Flood Modeling. Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.
2. Lin, J.-C.*, Yang, T.-H. (2026, May), Three Pathways for Physics Integration in Deep Learning: A Case Study on Fishpond Temperature Prediction. Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.
3. Yang, T.-H. (2026, April), Three Pathways for Physics Integration in Neural Network: A Case Study on Fishpond Temperature Prediction. AI & Sustainability Forum: Exploring AI Across Sustainability Domains, 10 April 2026, Taipei, Taiwan.
4. 陳弘穎*、楊尊華，使用數值模型產生的合成資訊作為人工智慧輸入，以製作詳細淹水地圖：初步研究，第27屆全國水利工程研討會，114年9月30日，新竹，台灣。
5. 龔逸庭*、楊尊華，利用貝葉斯網路模型進行颱風降雨預測，第27屆全國水利工程研討會，114年9月30日，新竹，台灣。
6. 林家麒*、楊尊華，物理消息神經網路與常規LSTM 模型魚池溫度預測中的性能表現，第27屆全國水利工程研討會，114年9月30日，新竹，台灣。
7. Lin, J.-C.*, Yang, T.-H. (2025, July), Physics-Informed and Regular LSTM Model Performance for Fishpond Temperature Prediction. 2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.
8. Ou, T.-H.*, Yang, T.-H. (2025, July), Combining GenAI and IoT for Efficient Early Flood Warnings at the Community Level. 2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.
9. Chen, H.-Y.*, Wu, C.-L., Yang, T.-H. (2025, May), Using Synthetic Information from Numerical Models as Inputs for Artificial Intelligence to Produce Detailed Flood Map: A Preliminary Study. Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.
10. Kung, I.-T.*, Yang, T.-H. (2025, May), Using a Bayesian network model for typhoon rainfall prediction. Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.
11. Yang, T.-H.*, Kuo, H.-L., Lin, C.-Y. (2024, Sep), A Method for Evaluating the Impact of Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios Based on Statistic Models, The 3rd International Seminar on Earth Sciences and Technology 2024, 18-19 September, Bandung, Indonesia.
12. Li, H-H, Yang, T. H.*., Tsai, C.-C. (2024, June), Development of An Early Cold Snap Warning System for Inland Fish Farming, 2024 ICEO&SI Conference, June 29, 30 Taoyuan-, Taipei. Taiwan.
13. Tien, Y. Y.*, Yang, T. H. (2024, May). Using the Bayesian theorem to assess flood damage in industrial areas in Taiwan. Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.
14. Lee, W. T.*, Yang, T. H. (2024, May). From Observation to Impact: Flood Damage Assessment Tools Developed for Urban Areas. Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.
15. Yang, T. H.* (2024, April). From Observation to Impact: Flood Damage Assessment Tools Developed for Urban Areas. The 5th Asian Conference on Urban Disaster Reduction, 26, May, New Taipei City, Taiwan.
16. Yang, T. H.* (2023, November), Develop edge computing-based sensory networks to mitigate the effects of natural disasters. The 11th International Symposium on Water Environment Systems—– with Perspective of Global Safety, 16-17 November 2023, Sendai Japan.
17. Wijaya, O. T.*, Yang, T. H. (2023, November). Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018. The 8th HYDRAULICS ENGINEERING INTERNATIONAL SEMINAR (HEIS), Jakarta, Indonesia.
18. Chan, L. F., Yang, T. H.* (2023, August). Flood depth estimation for urban area using google earth engine and digital elevation based hydroprocessing models. 2023 AOGS, Singapore.
19. Wu, I. H., Yang, T. H.* (2023, August). Managing flood risk during building construction process: A case study of Taichung International Convention and Exhibition Center. 2023 AOGS, Singapore.
20. Chan, L. F., Yang, T. H.* (2023, June). Detailed flood mapping using Sentinel-1 images and digital elevation model. 2023 ICEO & SI Conference, Taipei, Taiwan.
21. 劉承翰*, 楊尊華，結合樹莓派與類神經網路(ANN)即時進行變量流水位之預測，2022 ICEO &SI Conference，111年8月30日-31日，花蓮，台灣。
22. 王思懿*, 楊尊華，以陸上養殖魚塭為目標開發之水溫模擬模式，2022 ICEO &SI Conference，111年8月30日-31日，花蓮，台灣。
23. 陳映彤、蕭學勇、楊尊華*、鄭兆尊、張雅琪、鄭旭翔，以生活影響與漁業損失為標的探討氣候變遷條件 下之減災措施成效，110年9月9日-10日，第 25 屆水利工程研討會，台南，台灣
24. 吳伯儒*, 楊尊華，蕭學勇，考慮地形高程與地表粗糙度之快速淹水模式發展，2021 ICEO &SI Conference，110年6月27日-29日，苗栗，台灣。
25. 陳映彤*, 楊尊華，沿海低地淹水模擬與減災措施評估-以嘉義東石鄉養殖漁業為例，2021 ICEO &SI Conference，110年6月27日-29日，苗栗，台灣。