| A data-driven approach improves food insecurity crisis prediction EC Lentz, H Michelson, K Baylis, Y Zhou World Development 122, 399-409, 2019 | 88 | 2019 |
| Machine learning for food security: Principles for transparency and usability Y Zhou, E Lentz, H Michelson, C Kim, K Baylis Applied Economic Perspectives and Policy 44 (2), 893-910, 2022 | 23 | 2022 |
| Sunflower-associated reductions in Varroa mite infestation of honey bee colonies EC Palmer-Young, R Malfi, Y Zhou, B Joyce, H Whitehead, JI Van Wyk, ... Journal of Economic Entomology 116 (1), 68-77, 2023 | 5 | 2023 |
| Effects of stockholding policy on maize prices: Evidence from Zambia Y Zhou, K Baylis Journal of Agricultural & Food Industrial Organization 18 (1), 20190057, 2020 | 4 | 2020 |
| Evaluating Potential Long-Run Impacts of Chinese Tariff on US Soybeans Y Zhou, K Baylis, J Coppess, Q Xie farmdoc daily 8 (179), 2018 | 3 | 2018 |
| Predicting food security in Sub-Saharan Africa with machine learning Y Zhou, K Baylis, E Lentz, H Michelson AAEA ASSA 2021 Big Data and Near-Real-Time Monitoring of Food Emergencies …, 2021 | 2 | 2021 |
| Predicting food security with machine learning Y Zhou, K Baylis, E Lentz, H Michelson | 2 | 2019 |
| A Data-Driven Approach to Robust Predictions of Food Insecurity Crises E Lentz, H Michelson, K Baylis, Y Zhou Available at SSRN 3381344, 2018 | 2 | 2018 |
| Dispatches from the trade wars Y Zhou, K Baylis, J Coppess, Q Xie farmdoc daily 8 (162), 2018 | 1 | 2018 |
| Mites alight! Sunflower crop area and pollen supplementation enhance honey bee resistance to Varroa destructor EC Palmer-Young, R Malfi, Y Zhou, B Joyce, H Whitehead, JI Van Wyk, ... bioRxiv, 2021.08. 04.454914, 2021 | | 2021 |
| What to Expect from USMCA (or NAFTA 1.01) Y Zhou, K Baylis, J Coppess, Q Xie farmdoc daily 8 (211), 2018 | | 2018 |
Kathy BaylisProfessor of Geography, University of California, Santa BarbaraVerified email at ucsb.edu
