Jiuhui Li

772 total citations
53 papers, 593 citations indexed

About

Jiuhui Li is a scholar working on Environmental Engineering, Materials Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Jiuhui Li has authored 53 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 12 papers in Materials Chemistry and 11 papers in Civil and Structural Engineering. Recurrent topics in Jiuhui Li's work include Groundwater flow and contamination studies (18 papers), Water Systems and Optimization (10 papers) and Microstructure and mechanical properties (9 papers). Jiuhui Li is often cited by papers focused on Groundwater flow and contamination studies (18 papers), Water Systems and Optimization (10 papers) and Microstructure and mechanical properties (9 papers). Jiuhui Li collaborates with scholars based in China, United States and Japan. Jiuhui Li's co-authors include Wenxi Lu, Han Wang, Jiannan Luo, Zhenbo Chang, Wenxi Lu, Qingyi Xie, You‐Xing Zhao, Qing‐Yun Ma, Fan‐Dong Kong and Hao‐Fu Dai and has published in prestigious journals such as Journal of Hydrology, Optics Express and IEEE Access.

In The Last Decade

Jiuhui Li

48 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiuhui Li China 15 250 108 82 76 71 53 593
Guobiao Zhang China 19 243 1.0× 80 0.7× 75 0.9× 56 0.7× 166 2.3× 55 1.1k
Tong Yan China 16 78 0.3× 147 1.4× 97 1.2× 10 0.1× 34 0.5× 42 663
Susumu Kawakami Japan 14 70 0.3× 11 0.1× 30 0.4× 26 0.3× 15 0.2× 57 523
Haijun Hu China 13 42 0.2× 19 0.2× 71 0.9× 456 6.0× 55 0.8× 27 815
Zhaokai Wang China 17 46 0.2× 29 0.3× 37 0.5× 9 0.1× 13 0.2× 64 783
Jianping Wei China 19 30 0.1× 471 4.4× 6 0.1× 106 1.4× 15 0.2× 47 917
Chen Xue China 17 24 0.1× 43 0.4× 135 1.6× 42 0.6× 83 1.2× 81 868
Xiaodong Shang China 15 89 0.4× 33 0.3× 274 3.3× 13 0.2× 4 0.1× 57 678
Licai Liu China 18 74 0.3× 15 0.1× 5 0.1× 93 1.2× 19 0.3× 55 810
Julia Keller Switzerland 15 60 0.2× 58 0.5× 11 0.1× 8 0.1× 24 0.3× 30 690

Countries citing papers authored by Jiuhui Li

Since Specialization
Citations

This map shows the geographic impact of Jiuhui 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 Jiuhui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiuhui Li more than expected).

Fields of papers citing papers by Jiuhui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiuhui 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 Jiuhui Li. The network helps show where Jiuhui Li may publish in the future.

Co-authorship network of co-authors of Jiuhui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jiuhui Li. A scholar is included among the top collaborators of Jiuhui 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 Jiuhui Li. Jiuhui Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Jiuhui, et al.. (2025). Formation of three-dimensional dislocation networks in α -iron twist grain boundaries: Insights from first-principles neural network interatomic potentials. Computational Materials Science. 253. 113812–113812. 1 indexed citations
2.
Zhao, Bowen, et al.. (2025). TRUST: A toolkit for TEE-assisted secure outsourced computation over integers. Fundamental Research. 1 indexed citations
3.
Li, Jiuhui, et al.. (2025). Recognition of groundwater pollution sources based on optimized smooth denoising model and Levy grey wolf optimization algorithm. Process Safety and Environmental Protection. 201. 107575–107575.
4.
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6.
Huang, Yingying, Jiuhui Li, & Qi Dai. (2024). Comparative analysis of circadian lighting models: melanopic illuminance vs. circadian stimulus. Optics Express. 32(17). 29494–29494. 5 indexed citations
7.
Li, Jiuhui, et al.. (2022). Comparative analysis of groundwater contaminant sources identification based on simulation optimization and ensemble Kalman filter. Environmental Science and Pollution Research. 29(60). 90081–90097. 5 indexed citations
8.
Li, Jiuhui, et al.. (2022). Identification of light nonaqueous phase liquid groundwater contamination source based on empirical mode decomposition and deep learning. Environmental Science and Pollution Research. 30(13). 38663–38682. 4 indexed citations
9.
Li, Jiuhui, et al.. (2021). Groundwater Pollution Sources Identification Based on Hybrid Homotopy-Genetic Algorithm and Simulation Optimization. Environmental Engineering Science. 38(8). 777–788. 14 indexed citations
10.
Lu, Wenxi, et al.. (2021). Groundwater contamination source identification using improved differential evolution Markov chain algorithm. Environmental Science and Pollution Research. 29(13). 19679–19692. 15 indexed citations
11.
Lu, Wenxi, et al.. (2020). Multiobjective optimization of the groundwater exploitation layout in coastal areas based on multiple surrogate models. Environmental Science and Pollution Research. 27(16). 19561–19576. 27 indexed citations
12.
Wang, Han, Wenxi Lu, & Jiuhui Li. (2020). Groundwater contaminant source characterization with simulation model parameter estimation utilizing a heuristic search strategy based on the stochastic-simulation statistic method. Journal of Contaminant Hydrology. 234. 103681–103681. 11 indexed citations
13.
Li, Jiuhui, et al.. (2020). Groundwater contamination sources identification based on kernel extreme learning machine and its effect due to wavelet denoising technique. Environmental Science and Pollution Research. 27(27). 34107–34120. 15 indexed citations
14.
Shi, Wei, Qianqian Qiu, Weiwei Guo, et al.. (2020). Novel HLA-A2 restricted antigenic peptide derivatives with high affinity for the treatment of breast cancer expressing NY-ESO-1. Bioorganic Chemistry. 103. 104138–104138. 3 indexed citations
15.
Li, Jieming, Jiuhui Li, Wei Shi, et al.. (2019). Design, synthesis and biological evaluation of novel 4,5-dihydro-[1,2,4]triazolo[4,3-f]pteridine derivatives as potential BRD4 inhibitors. Bioorganic & Medicinal Chemistry. 27(13). 2813–2821. 15 indexed citations
16.
Li, Jiuhui, et al.. (2019). Molecular dynamics simulations for tensile behaviors of mono-layer MoS<sub>2</sub> with twin boundary. Acta Physica Sinica. 68(21). 216201–216201. 3 indexed citations
17.
Qi, Jiyan, et al.. (2018). Characterization of Sugar Contents and Sucrose Metabolizing Enzymes in Developing Leaves of Hevea brasiliensis. Frontiers in Plant Science. 9. 58–58. 46 indexed citations
18.
Li, Jiuhui, et al.. (2014). First-principles study on the effects of Zn-segregation in CuΣ5 grain boundary. Acta Physica Sinica. 63(23). 237102–237102. 4 indexed citations
19.
Zhao, Xing, et al.. (2013). The first-principles study on properties of B-doped at interstitial site of Cu∑5 grain boundary. Acta Physica Sinica. 62(11). 117102–117102. 4 indexed citations
20.
Li, Jiuhui, et al.. (2008). QUASICONTINUUM METHOD SIMULATION OF THE INITIAL PLASTIC DEFORMATION OF SINGLE CRYSTAL Cu IN NANOINDENTATION. Acta Metallurgica Sinica. 44(12). 1455–1460. 1 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.

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