Enming Li

1.9k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Enming Li is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Building and Construction. According to data from OpenAlex, Enming Li has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 7 papers in Mechanics of Materials and 5 papers in Building and Construction. Recurrent topics in Enming Li's work include Rock Mechanics and Modeling (7 papers), Geotechnical Engineering and Underground Structures (4 papers) and Dam Engineering and Safety (4 papers). Enming Li is often cited by papers focused on Rock Mechanics and Modeling (7 papers), Geotechnical Engineering and Underground Structures (4 papers) and Dam Engineering and Safety (4 papers). Enming Li collaborates with scholars based in China, Spain and Germany. Enming Li's co-authors include Jian Zhou, Xiuzhi Shi, Danial Jahed Armaghani, Xin Chen, Mingzheng Wang, Hani S. Mitri, Shan Yang, Xiuzhi Shi, Qiuqiu Qiao and Chuanqi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Energy & Fuels.

In The Last Decade

Enming Li

19 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories

2019 263 citations Jian Zhou, Enming Li et al. Safety Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Enming Li China	12	784	470	271	252	229	20	1.2k
Mohammad Rezania United Kingdom	22	1.2k 1.6×	441 0.9×	467 1.7×	148 0.6×	334 1.5×	66	1.7k
Pei Wang China	23	885 1.1×	381 0.8×	228 0.8×	252 1.0×	274 1.2×	53	1.5k
Xiuzhi Shi China	14	561 0.7×	458 1.0×	203 0.7×	209 0.8×	200 0.9×	31	896
Ö. Günaydın Türkiye	21	1.2k 1.5×	658 1.4×	288 1.1×	286 1.1×	190 0.8×	44	1.6k
Mingliang Zhou China	24	1.0k 1.3×	484 1.0×	389 1.4×	295 1.2×	151 0.7×	82	1.7k
Рамли Назир Malaysia	22	1.3k 1.7×	218 0.5×	485 1.8×	187 0.7×	106 0.5×	97	1.6k
Mohaddeseh Mousavi Nezhad United Kingdom	20	592 0.8×	369 0.8×	202 0.7×	185 0.7×	255 1.1×	58	1.2k
K. Shahriar Iran	23	527 0.7×	666 1.4×	225 0.8×	357 1.4×	223 1.0×	75	1.3k
Jianjun Ma China	22	937 1.2×	581 1.2×	283 1.0×	243 1.0×	176 0.8×	72	1.6k
Xiangsheng Chen China	21	952 1.2×	160 0.3×	323 1.2×	224 0.9×	109 0.5×	159	1.4k

Countries citing papers authored by Enming Li

Since Specialization

Citations

This map shows the geographic impact of Enming Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Enming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enming Li more than expected).

Fields of papers citing papers by Enming Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enming Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Enming Li. The network helps show where Enming Li may publish in the future.

Co-authorship network of co-authors of Enming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Enming Li. A scholar is included among the top collaborators of Enming Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Enming Li. Enming Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Enming, et al.. (2025). Predictive modeling and interpretation of LC3-ECC compressive strength using XGBoost and gene expression programming. Materials Today Communications. 49. 113842–113842.

Li, Enming, et al.. (2025). Residential building cooling load prediction with optimized KELM models and interpretability insights. Applied Thermal Engineering. 272. 126421–126421. 5 indexed citations

Li, Enming, et al.. (2024). Indirect hazard evaluation by the prediction of backbreak distance in the open pit mine using support vector regression and chicken swarm optimization. SHILAP Revista de lepidopterología. 3(1). 1–14. 4 indexed citations

Li, Enming, Ning Zhang, Bin Xi, et al.. (2024). Analysis and modelling of gas relative permeability in reservoir by hybrid KELM methods. Earth Science Informatics. 17(4). 3163–3190. 4 indexed citations

Xi, Bin, Ning Zhang, Enming Li, et al.. (2024). A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete. Frontiers of Structural and Civil Engineering. 18(1). 30–50. 5 indexed citations

Qi, Junxia, et al.. (2024). Advance Additive for High Voltage Capability and Superior Cycle Stability Sodium-Ion Battery. Energy & Fuels. 38(15). 14663–14671. 2 indexed citations

Li, Enming, Ning Zhang, Bin Xi, Jian Zhou, & Xiaofeng Gao. (2023). Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique. Frontiers of Structural and Civil Engineering. 17(9). 1310–1325. 16 indexed citations

Li, Enming, Bin Xi, Ning Zhang, et al.. (2023). Circular use of fine-grained tailings to underground mine wind walls. SHILAP Revista de lepidopterología. 2(3). 100053–100053. 9 indexed citations

Biswas, Rahul, et al.. (2022). Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete. Construction and Building Materials. 346. 128483–128483. 44 indexed citations

10.

Biswas, Rahul, et al.. (2022). Development of Hybrid Models Using Metaheuristic Optimization Techniques to Predict the Carbonation Depth of Fly Ash Concrete. SSRN Electronic Journal. 2 indexed citations

11.

Chen, Xin, Xiuzhi Shi, Jian Zhou, et al.. (2021). High strain rate compressive strength behavior of cemented paste backfill using split Hopkinson pressure bar. International Journal of Mining Science and Technology. 31(3). 387–399. 59 indexed citations

12.

Zhou, Jian, et al.. (2021). Improving the efficiency of microseismic source locating using a heuristic algorithm-based virtual field optimization method. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 7(3). 46 indexed citations

13.

Li, Enming, et al.. (2021). Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms. Journal of Rock Mechanics and Geotechnical Engineering. 13(6). 1380–1397. 104 indexed citations

14.

Zhang, Ning, Georg Schiller, Haibo Feng, et al.. (2020). Unraveling the Global Warming Mitigation Potential from Recycling Subway-Related Excavated Soil and Rock in China Via Life Cycle Assessment. Integrated Environmental Assessment and Management. 17(3). 639–650. 32 indexed citations

15.

Zhou, Jian, Mohammadreza Koopialipoor, Enming Li, & Danial Jahed Armaghani. (2020). Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system. Bulletin of Engineering Geology and the Environment. 79(8). 4265–4279. 91 indexed citations

16.

Li, Enming, Jian Zhou, Xiuzhi Shi, et al.. (2020). Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill. Engineering With Computers. 37(4). 3519–3540. 126 indexed citations

17.

Zhou, Jian, et al.. (2019). Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials. Applied Sciences. 9(8). 1621–1621. 196 indexed citations

18.

Zhou, Jian, Enming Li, Mingzheng Wang, et al.. (2019). Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories. Journal of Performance of Constructed Facilities. 33(3). 121 indexed citations

19.

Zhou, Jian, Enming Li, Shan Yang, et al.. (2019). Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories. Safety Science. 118. 505–518. 263 indexed citations breakdown →

20.

Chen, Xin, et al.. (2018). Compressive behavior and microstructural properties of tailings polypropylene fibre-reinforced cemented paste backfill. Construction and Building Materials. 190. 211–221. 108 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact