Part I: Intelligent Edge Computing:
[11] Geng Zhi, et al. Real-time discrimination of earthquake signals by integrating artificial intelligence technology into IoT devices. Communications Earth & Environment, 6, 73 (2025). JCR Q1, IF 9.5. (https://www.nature.com/articles/s43247-025-02003-y)
[10] Geng Zhi & Wang, Y. Automated design of a convolutional neural network with multi-scale filters for cost-efficient seismic data classification. Nature Communications, 11, 3311 (2020). JCR Q1, IF 17.2. (https://www.nature.com/articles/s41467-020-17123-6)

Part II: Deep Geological Assessment:
[9] Geng Zhi, et al. Decoupled deep learning for geohazards mapping in oceanic deep drilling. Results in Engineering, 28, 108386 (2025). JCR Q1, IF-7.9. https://doi.org/10.1016/j.rineng.2025.108386.
[8] Geng Zhi, et al. A deep learning dataset for pre‐drill geohazard assessment in taranaki basin new zealand. Geoscience Data Journal, 13, e70046 (2026). JCR Q2, IF 3.2. https://doi.org/10.1002/gdj3.70046.
[7] Geng Zhi, et al. Pressure Solution Compaction During Creep Deformation of Tournemire Shale: Implications for Temporal Sealing in Shales. Journal of Geophysical Research-Solid Earth, 126(3): e2020JB021370 (2021). JCR Q1, IF 4.5. https://doi.org/10.1029/2020JB021370.
[6] Geng Zhi, Wang Y. Physics-guided deep learning for predicting geological drilling risk of wellbore instability using seismic attributes data. Engineering Geology, 279:105857 (2020). JCR Q1, IF 8.8. https://doi.org/10.1016/j.enggeo.2020.105857
[5] Geng Zhi, et al. Predicting seismic-based risk of lost circulation using machine learning. Journal of Petroleum Science and Engineering, 176: 679-688 (2019).JCR Q1, IF 4.6. https://doi.org/10.1016/j.petrol.2019.01.089.
[4] Geng Zhi, et al. Time and temperature dependent creep in Tournemire shale. Journal of Geophysical Research-Solid Earth, 123:9658-9675 (2018). JCR Q1, IF 4.5. https://doi.org/10.1029/2018JB016169.
[3] Geng Zhi, et al. Elastic anisotropy reversal during brittle creep in shale. Geophysical Research Letters, 44(21): 10887-10895 (2017).JCR Q1, IF 5.1. https://doi.org/10.1002/2017GL074555.
[2] Geng Zhi, et al. Integrated fracability assessment methodology for unconventional naturally fractured reservoirs: Bridging the gap between geophysics and production. Journal of Petroleum Science and Engineering, 145:640-647 (2016).JCR Q1, IF 4.6. https://doi.org/10.1016/j.petrol.2016.06.034.
[1] Geng Zhi, et al. Experimental study of brittleness anisotropy of shale in triaxial compression. Journal of Natural Gas Science and Engineering, 36:510-518 (2016).JCR Q1, 5.6. https://doi.org/10.1016/j.jngse.2016.10.059.