A review of the anaerobic digestion of fruit and vegetable waste C Ji, CX Kong, ZL Mei, J Li Applied biochemistry and biotechnology 183 (3), 906-922, 2017 | 144 | 2017 |
Effects of anaerobic digestion on chlortetracycline and oxytetracycline degradation efficiency for swine manure F Yin, H Dong, C Ji, X Tao, Y Chen Waste Management 56, 540-546, 2016 | 64 | 2016 |
Formation, detection, and modeling of submerged oil: A review C Ji, CJ Beegle-Krause, JD Englehardt Journal of Marine Science and Engineering 8 (9), 642, 2020 | 14 | 2020 |
Research progress on effect of antibiotic on anaerobic digestion treatment in animal manure. FB Yin, C Ji, HM Dong, XP Tao, YX Chen Journal of Agricultural Science and Technology (Beijing) 18 (5), 171-177, 2016 | 13* | 2016 |
Development of the SOSIM model for inferential tracking of subsurface oil M Jacketti, C Ji, JD Englehardt, CJ Beegle-Krause Proceedings of the Arctic and Marine Oil Pollution Conference, Environment …, 2019 | 11 | 2019 |
A computational system for Bayesian benchmark dose estimation of genomic data in BBMD C Ji, A Weissmann, K Shao Environment International 161, 0160-4120, 2022 | 9 | 2022 |
SOSim: A Probabilistic Bayesian Model for Submerged Oil Tracking C Ji, J Englehardt, C Beegle-Krause Gulf of Mexico Oil Spill & Ecosystem Science Conference Tampa, FL, USA, 2020 | 5 | 2020 |
Bayesian submerged oil tracking with SOSim: Inference from field reconnaissance data and fate-transport model output C Ji, JD Englehardt, CJ Beegle-Krause Marine pollution bulletin 165, 112078, 2021 | 4 | 2021 |
Quantitative Integration of Mode of Action Information in Dose–Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDD Q Chen, Y Zhou, C Ji, JE Klaunig, K Shao Environmental Health Perspectives 131 (12), 127022, 2023 | 3 | 2023 |
Design of Real—Time Sampling Strategies for Submerged Oil Based on Probabilistic Model Predictions C Ji, JD Englehardt, CJ Beegle-Krause Journal of Marine Science and Engineering 8 (12), 984, 2020 | 3 | 2020 |
Using Prior Toxicological Data to Support Dose–Response Assessment─ Identifying Plausible Prior Distributions for Dichotomous Dose–Response Models K Shao, C Ji, WA Chiu Environmental science & technology 56 (22), 16506-16516, 2022 | 2 | 2022 |
Next generation chemical risk assessment: integration of advances in toxicology, biology and computation K Shao, C Ji, B Gadagbui Frontiers in Toxicology 6, 2024 | | 2024 |
The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of Toxicogenomics C Ji, K Shao Chemical Research in Toxicology 36 (8), 1345-1354, 2023 | | 2023 |
Development of a Probabilistic Bayesian Model for Tracking of Submerged Oil during Operational Response C Ji University of Miami, 2020 | | 2020 |
聚偏氟乙烯/坡缕石复合膜的制备及性能研究 季超, 王建明, 宋宏臣, 仲晓晴 功能材料 49 (2), 2124-2129, 2018 | | 2018 |
凹凸棒土-超滤膜耦合工艺去除盐酸四环素废水的效能及吸附机理研究 季超, 王建明, 梅自力, 宋宏臣, 仲晓晴, 尹福斌 环境工程, 2017 | | 2017 |
Introduction to the Special Issue on Next Generation Chemical Risk Assessment K Shao, C Ji, B GADAGBUI Frontiers in Toxicology 6, 1440229, 0 | | |