李传奇

个人简介

李传奇，男，汉族，内蒙古赤峰人，博士，中南大学资源与安全工程学院，特聘副教授，硕士生导师。本硕毕业于中南大学，博士毕业于法国格勒诺布尔-阿尔卑斯大学（获国家留学基金委资助（2021），导师Daniel DIAS教授）。主要从事深部智能岩石力学与动力灾害防控方面的工作。相关成果累计发表SCI期刊论文82篇。近五年，以第一/通讯作者发表SCI论文50篇，参编英文专著2部。其中，TOP期刊论文15篇，ESI高被引论文 (1%) 11篇，ESI热点论文 (0.1%) 3篇，1篇入选中国百篇最具影响国际学术论文 (2021)，1篇被选为新锐分区TOP期刊《Underground Space》主编推荐论文 (Editor choice)，1篇入选国家教育部主管期刊《Journal of Central South University》最佳论文奖 (2023)，Web of Science核心数据库中论文总被引2060次 (h指数26)，Google Scholar中论文总被引3600余次 (h指数28)，单篇论文最高总被引580次，单篇引用100次以上论文10篇，论文总影响因子超过400，入选2025全球前2% 顶尖科学家年度科学影响力排行榜榜单 (Elsevier and Stanford University)。担任中国科技期刊卓越行动计划高起点新刊《Deep Underground Science and Engineering》和《Geohazard Mechanics》青年编委。

代表性论文（*代表通讯作者）

[1].Li, C.Q., Zhou, J., Du, K., & Tao, M. Enhanced discontinuity characterization in hard rock pillars using point cloud completion and DBSCAN clustering[J].  International Journal of Rock Mechanics and Mining Sciences, 2025, 186, 106005. (中科院/JCR 1区, TOP期刊)

[2].Li, C.Q., Zhou, J. Use of a Novel Description Method in Characterization of Traces on Hard Rock Pillar Surfaces[J].  Rock Mechanics and Rock Engineering, 2024, 1-22. https://doi.org/10.1007/s00603-024-04312-8. (中科院2区/JCR 1区, TOP期刊)

[3].Li C.Q., Zhou J., Dias D. Utilizing semantic-level computer vision for fracture trace characterization of hard rock pillars in underground space[J]. Geoscience Frontiers, 2024, 15(2): 101769. (中科院/JCR 1区, TOP期刊)

[4].Li C.Q., Zhou J., Du K., Dias D. Stability prediction of hard rock pillar using support vector machine optimized by three metaheuristic algorithms[J]. International Journal of Mining Science and Technology, 2023, 33(8): 1019-1036. (中科院/JCR 1区, TOP期刊)

[5].Li C.Q., Zhou J., Armaghani D. J., Li X.B. Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques[J]. Underground Space, 2021, 6(4): 379-395. (中科院/JCR 1区) ESI高被引论文, Editor choice

[6].Li C.Q., Zhou J., Armaghani D. J., Cao W.Z., Yagiz, S. Stochastic assessment of hard rock pillar stability based on the geological strength index system[J]. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2021, 7:1-24. (中科院2区/JCR 1区)

[7].Li C.Q.*, Mei X.C., Zhang J.M. Application of supervised random forest paradigms based on optimization and post-hoc explanation in underground stope stability prediction[J]. Applied Soft Computing, 2024, 154: 111388. (中科院/JCR 1区, TOP期刊)

[8].Li C.Q.*, Dias D. Intelligent prediction and visual optimization of surface settlement induced by earth pressure balance shield tunneling[J]. Tunnelling and Underground Space Technology, 2024, 154: 106138. (中科院/JCR 1区, TOP期刊)

[9].Li C.Q.*, Zhang J.M., Mei X.C., Zhou J. Supervised intelligent prediction of shear strength of rockfill materials based on data driven and a case study[J]. Transportation Geotechnics, 2024, 45: 101229. (中科院2区/JCR 1区)

[10].Li C.Q., Zhou J., Du K., Armaghani D. J., Huang S. Prediction of flyrock distance in surface mining using a novel hybrid model of harris hawks optimization with multi-strategies-based support vector regression[J]. Natural Resources Research, 2023, 32(6): 2995-3023. (中科院2区/JCR 1区)

[11].Li C.Q., Zhou J., Khandelwal M., Zhang X.L., Monjezi M., Qiu Y.G. Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting[J]. Natural Resources Research, 2022, 31(5): 3017-3039. (中科院2区/JCR 1区)

[12].Li C.Q.*, Mei X.C. Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation[J]. Applied Soft Computing, 2023, 147: 110808. (中科院/JCR 1区, TOP期刊)

[13].Li C.Q., Zaheri, M., Ranjbarnia, M., Dias, D. Calculating of the tunnel face deformations reinforced by longitudinal fiberglass dowels: from analytical method to artificial intelligence[J].  Transportation Geotechnics, 2023, 43: 101152. (中科院2区/JCR 1区)

[14].Zhang J., Zhang T., Li C.Q.*. Migration time prediction and assessment of toxic fumes under forced ventilation in underground mines[J]. Underground Space, 2024, 18: 273-294. (中科院/JCR 1区)

[15].Li J.Z., Li C.Q.*, Zhang S.H. Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction[J]. Applied Soft Computing, 2022, 131: 109729. (中科院/JCR 1区, TOP期刊)

[16].Zhang J.M., Dias D., Li C.Q.*. Performance evaluation of a single footing over rigid inclusions-reinforced soft soil-use of a novel LWSO-RF model to predict load transfer efficiency[J]. Engineering Structures, 2023, 292: 116556. (中科院1区/JCR 1区, TOP期刊)

[17].Zhou, J., Liu, Z.J., Li, C.Q.*, Du, K., & Yang, H.Q. Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques[J]. Underground Space, 2025. https://doi.org/10.1016/j.undsp.2024.11.004. (中科院/JCR 1区)

[18].Zhou J., Li C.Q., Koopialipoor M., Jahed Armaghani D., Thai Pham B. Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC)[J]. International Journal of Mining, Reclamation and Environment, 2021, 35(1): 48-68. (中科院3区/JCR 2区) ESI高被引论文

[19].Zhou J., Li C.Q., Arslan C. A., Hasanipanah M., Bakhshandeh Amnieh H. Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting[J]. Engineering with computers, 2021, 37(1): 265-274. (中科院2区/JCR 1区, TOP期刊) ESI高被引和热点论文

[20].Zhou J., Zhang Y.L., Li C.Q., He H.N., Li X.B. Rockburst prediction and prevention in underground space excavation[J]. Underground Space, 2024, 14: 70-98. (中科院/JCR 1区) ESI高被引论文

教育经历

[1]   2021.10-2024.8

法国格勒诺布尔阿尔卑斯大学  |  材料、力学、土木工程与电化学  |  博士学位  |  研究生(博士)毕业

[2]   2018.9-2021.5

中南大学  |  矿业工程  |  硕士学位  |  研究生(硕士)毕业

[3]   2014.9-2018.5

中南大学  |  采矿工程  |  学士学位  |  本科(学士)

工作经历

[1]   2025.3-至今

中南大学  |  资源与安全工程学院  |  特聘副教授  |  全职

社会兼职

• [1]   50余份SCI期刊匿名审稿人，包括Int. J. Min. Sci.Technol., Tunn. Undergr. Sp. Tech., Int. J Rock. Mech. Min. Sci., Eng. Comput., Rock.Mech. Rock. Eng.和Undergr. Spac等国内外知名刊物

研究方向

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