Based on the updated data from Clarivate Analytics ESI (Essential Science Indicators), 10 papers published by Prof. Wengang Zhang of School of Civil Engineering (SCE) as the first author or corresponding author were selected as ESI Highly Cited papers. Among them, 2 papers were selected as ESI Hot Papers at the same time, with the total number of citations reached 3644 times.
ESI (Essential Science Indicators) is the basic analysis and evaluation tool for the international academic community to measure scientific research performance and track scientific development trends. Sort by citations in descending order, highly cited papers refer to the top 1% of all papers published in the same ESI subject area in the same year. Similarly, hot papers are those top 0.1% papers published in the last two years, ranked by the number of citations in the last two months. These two indicators reflect the influence of the paper from the perspective of literature citation.
Selection of papers from Prof. Zhang’s group as ESI Highly Cited Papers and ESI Hot Papers is the recognition of his scientific research achievements by the academia, as well as an affirmation of the scientific research of SCE.
The information of ESI highly Cited Papers and Hot Papers are as follows:
1. Zhang, W., Zhang, R., Wu, C., Goh, A. T. C., Lacasse, S., Liu, Z., & Liu, H. (2020). State-of-the-art review of soft computing applications in underground excavations. Geoscience Frontiers, 11(4), 1095-1106.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000541519300001
2. Zhang, W., Wu, C., Zhong, H., Li, Y., & Wang, L. (2021). Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization. Geoscience Frontiers, 12(1), 469-477
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000597401000035
3. Zhang, R., Wu, C., Goh, A. T., Böhlke, T., & Zhang, W. (2021). Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning. Geoscience Frontiers, 12(1), 365-373.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000597401000026
4. Zhang, W., & Goh, A. T. (2016). Multivariate adaptive regression splines and neural network models for prediction of pile drivability. Geoscience Frontiers, 7(1), 45-52.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000370087800006
5. Zhang, W. G., & Goh, A. T. C. (2013). Multivariate adaptive regression splines for analysis of geotechnical engineering systems. Computers and Geotechnics, 48, 82-95.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000315064700009
6. Goh, A. T. C., Zhang, R. H., Wang, W., Wang, L., Liu, H. L., & Zhang, W. G. (2020). Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils. Acta Geotechnica, 15(5), 1259-1272.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000526622900014
7. Wang, L., Wu, C., Gu, X., Liu, H., Mei, G., & Zhang, W. (2020). Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines. Bulletin of Engineering Geology and the Environment, 79(6), 2763-2775.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000510273100001
8. Ray, R., Kumar, D., Samui, P., Roy, L. B., Goh, A. T. C., & Zhang, W. (2021). Application of soft computing techniques for shallow foundation reliability in geotechnical engineering. Geoscience Frontiers, 12(1), 375-383.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000597401000027
9. Zhang, W. G., Li, H. R., Wu, C. Z., Li, Y. Q., Liu, Z. Q., & Liu, H. L. (2021). Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling. Underground Space, 6(4), 353-363.
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000675208000001
10. Gu, D. , Liu, H. , Gao, X. , Huang, D. , & Zhang, W. . (2021). Influence of cyclic wetting–drying on the shear strength of limestone with a soft interlayer. Rock Mechanics and Rock Engineering(9).
The link for the paper:
https://www.webofscience.com/wos/alldb/full-record/WOS:000652946200002
