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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):
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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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
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Estimation of global methane soil sink using synthesized datasets and knowledge-guided machine learning
UNIVERSITY OF COLORADO AT BOULDER, U.S. DEPARTMENT OF ENERGY (USDOE)
9/1/23 → 8/31/26
Project: Research project
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High-resolution integrated assessments of tillage practice impacts on crop production and agroecosystem sustainability in the US Midwest - combining meta-analysis, airborne-satellite sensing, and process-based modeling
Liu, L. (PI) & Jin, Z. (Prior Principal Investigator)
UNIV OF ILLINOIS AT URBANA-CHAMPAIGN, UNITED STATES DEPARTMENT OF AGRICULTURE
2/15/23 → 2/14/26
Project: Research project
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Improving the N rate calculator and MRTN for Illinois farmers by leveraging NREC historical N trials and new computing tools
Liu, L. (PI) & Jin, Z. (Prior Principal Investigator)
UNIVERSITY OF ILLINOIS, ILLINOIS NUTRIENT RESEARCH AND EDUCATION
10/1/21 → 11/30/25
Project: Research project
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SCC-IRG Track 1: Co-Producing Community - An integrated approach to building smart and connected nutrient management communities in the US Corn Belt
Liu, L. (PI), Jin, Z. (Prior Principal Investigator) & Jin, Z. (Other Role)
UNIV OF ILLINOIS AT URBANA-CHAMPAIGN, THE NATIONAL SCIENCE FOUNDATION
10/1/21 → 12/31/25
Project: Research project
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Advancing regenerative agriculture: An Airborne-Satellite-Artificial Intelligence integrative technique to monitor soil organic carbon in the U.S. Corn Belt
Liu, L. (PI) & Jin, Z. (Prior Principal Investigator)
UNIV OF ILLINOIS AT URBANA-CHAMPAIGN, FOUNDATION FOR FOOD AND AGRICULTURE RESE
1/2/21 → 12/31/24
Project: Research project
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Knowledge-guided machine learning captures key mechanistic pathways for better predicting spatio-temporal patterns of growing season N2O emissions in the U.S. Midwest
Ye, L., Liu, L., Yang, Y., Li, Z., Zhou, W., Peng, B., Xu, S., Kumar, V., Yang, W. H., Tang, J., Jin, Z. & Guan, K., Oct 15 2025, In: Agricultural and Forest Meteorology. 373, 110750.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Towards Surrogate Models with Hybrid Spatial Neural Networks: A Summary of Results
Zhang, S., Sharma, A., Farhadloo, M., Yang, M., Zeng, R., Ghosh, S., Zhang, Y., Shekhar, S., Mulla, D. J., Liu, L. & Hong, M., Nov 2025.Research output: Contribution to conference › Paper › peer-review
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Assessment of soil total phosphorus storage in a complex topography along China's southeast coast based on multiple mapping scales
CHEN, Z., LI, J., HUANG, K., WEN, M., ZHUANG, Q., LIU, L., ZHU, P., JIN, Z., XING, S. & ZHANG, L., Feb 2024, In: Pedosphere. 34, 1, p. 236-251 16 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
Liu, L., Zhou, W., Guan, K., Peng, B., Xu, S., Tang, J., Zhu, Q., Till, J., Jia, X., Jiang, C., Wang, S., Qin, Z., Kong, H., Grant, R., Mezbahuddin, S., Kumar, V. & Jin, Z., Dec 2024, In: Nature communications. 15, 1, 357.Research output: Contribution to journal › Article › peer-review
Open Access91 Scopus citations -
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features
He, E., Xie, Y., Liu, L., Jin, Z., Zhang, D. & Jia, X., 2024, Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024. Shekhar, S., Papalexakis, V., Gao, J., Jiang, Z. & Riondato, M. (eds.). Society for Industrial and Applied Mathematics Publications, p. 715-723 9 p. (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations