According to the latest ESI (Essential Science Indicators) data released by Clarivate the other day, 10 papers published with Professor Zhang Wengang from the School of Civil Engineering as the first author or corresponding author were included as the most cited ESI papers. In particular, 2 of the papers were selected as hot ESI papers. At the same time, the total cites reached 3,644.
The ESI (Essential Science Indicators) is a basic analysis and evaluation tool used by the international academic community to measure the performance of scientific research and development tendency of science. The most cited papers refer to the top 1% papers released in the ESI disciplinary areas in the same year in terms of total cites. Hot papers refer to top 0.1% papers released in the ESI disciplines in recent 2 years in terms of total cites in the recent 2 months. The two indicators are a measure of the influence of papers in terms of total sites. The inclusion of Professor Zhang Wengang's papers as the most cited ESI papers and hot ESI papers is a recognition of his scientific research achievements by the academic community, and of the scientific research level of the School.
The information on the most cited and hot ESI papers is given as below:
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.
Click the links below to view the papers:
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 d on Bayesian optimization. Geoscience Frontiers, 12(1), 469-477
Click the links below to view the papers:
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.
Click the links below to view the papers:
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.
Click the links below to view the papers:
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.
Click the links below to view the papers:
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.
Click the links below to view the papers:
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.
Click the links below to view the papers:
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.
Click the links below to view the papers:
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.
Click the links below to view the papers:
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 inter . Rock Mechanics and Rock Engineering(9).
Click the links below to view the papers:
https://www.webofscience.com/wos/alldb/full-record/WOS:000652946200002
