Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Chaopeng Shen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
MRI: Acquisition of a Purpose-Built Deep Learning Compute System to Advance Fundamental Research and Education at Penn State
Cowen, D., Van Duin, A., Shen, C., Wauthier, C. & Gervais, M.
8/15/20 → 7/31/23
Project: Research project
-
Collaborative Research: Predictive Risk Investigation SysteM (PRISM) for Multi-layer Dynamic Interconnection Analysis
10/1/19 → 9/30/22
Project: Research project
-
A deep learning-based novel approach to generate continuous daily stream nitrate concentration for nitrate data-sparse watersheds
Saha, G. K., Rahmani, F., Shen, C., Li, L. & Cibin, R., Jun 20 2023, In: Science of the Total Environment. 878, 162930.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Applying Knowledge-Guided Machine Learning to Slope Stability Prediction
Pei, T., Qiu, T. & Shen, C., Oct 1 2023, In: Journal of Geotechnical and Geoenvironmental Engineering. 149, 10, 04023089.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Applying transfer learning techniques to enhance the accuracy of streamflow prediction produced by long Short-term memory networks with data integration
Khoshkalam, Y., Rousseau, A. N., Rahmani, F., Shen, C. & Abbasnezhadi, K., Jul 2023, In: Journal of Hydrology. 622, 129682.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Differentiable modelling to unify machine learning and physical models for geosciences
Shen, C., Appling, A. P., Gentine, P., Bandai, T., Gupta, H., Tartakovsky, A., Baity-Jesi, M., Fenicia, F., Kifer, D., Li, L., Liu, X., Ren, W., Zheng, Y., Harman, C. J., Clark, M., Farthing, M., Feng, D., Kumar, P., Aboelyazeed, D., Rahmani, F., & 11 others, Aug 2023, In: Nature Reviews Earth and Environment. 4, 8, p. 552-567 16 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) with potential applications for crop threats
Liu, J., Hughes, D., Rahmani, F., Lawson, K. & Shen, C., Mar 17 2023, In: Geoscientific Model Development. 16, 5, p. 1553-1567 15 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations