Denghui Lu

1.4k total citations
12 papers, 466 citations indexed

About

Denghui Lu is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Denghui Lu has authored 12 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Denghui Lu's work include Machine Learning in Materials Science (5 papers), Viral Infections and Vectors (2 papers) and Fuel Cells and Related Materials (2 papers). Denghui Lu is often cited by papers focused on Machine Learning in Materials Science (5 papers), Viral Infections and Vectors (2 papers) and Fuel Cells and Related Materials (2 papers). Denghui Lu collaborates with scholars based in China and United States. Denghui Lu's co-authors include Mohan Chen, Linfeng Zhang, Handong Wang, Roberto Car, Lin Lin, Weile Jia, E Weinan, Lvping Fu, Ao Huang and Pengfei Lian and has published in prestigious journals such as Construction and Building Materials, Journal of Chemical Theory and Computation and Journal of Physics Condensed Matter.

In The Last Decade

Denghui Lu

10 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denghui Lu China 8 281 77 61 60 53 12 466
Filippo Spiga United Kingdom 8 310 1.1× 79 1.0× 56 0.9× 93 1.6× 40 0.8× 14 632
E. Machado Austria 13 318 1.1× 166 2.2× 174 2.9× 14 0.2× 50 0.9× 40 620
Phani Motamarri United States 11 184 0.7× 192 2.5× 84 1.4× 38 0.6× 15 0.3× 18 458
M. Minkoff United States 10 143 0.5× 68 0.9× 67 1.1× 10 0.2× 37 0.7× 19 330
Zhongjian Wang China 12 180 0.6× 47 0.6× 269 4.4× 9 0.1× 12 0.2× 52 470
Denis Semwogerere United States 7 237 0.8× 55 0.7× 31 0.5× 14 0.2× 20 0.4× 10 489
J. Mościński Poland 9 116 0.4× 29 0.4× 28 0.5× 9 0.1× 43 0.8× 32 272
Yao Kai-Lun China 12 326 1.2× 74 1.0× 141 2.3× 6 0.1× 25 0.5× 78 530
Mitja Lakner Slovenia 12 101 0.4× 255 3.3× 112 1.8× 37 0.6× 38 0.7× 40 574
Marco Paniconi United States 6 168 0.6× 92 1.2× 22 0.4× 15 0.3× 14 0.3× 8 474

Countries citing papers authored by Denghui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Denghui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denghui Lu

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

All Works

12 of 12 papers shown
1.
Peng, Xing‐Liang, Weiqing Zhou, Denghui Lu, et al.. (2025). Open-source density functional theory software ABACUS: promoting the development of large atomic-scale machine learning pre-trained models. Chinese Science Bulletin (Chinese Version). 70(24). 4027–4043.
2.
Wang, Limei, Denghui Lu, Menghao Yang, et al.. (2024). Nipah virus: epidemiology, pathogenesis, treatment, and prevention. Frontiers of Medicine. 18(6). 969–987. 4 indexed citations
3.
Wang, Di, Tiantian Li, Mingchuan Liu, et al.. (2023). Elevated SLC40A1 impairs cardiac function and exacerbates mitochondrial dysfunction, oxidative stress, and apoptosis in ischemic myocardia. International Journal of Biological Sciences. 20(2). 414–432. 5 indexed citations
4.
5.
Lu, Denghui, Wanrun Jiang, Yixiao Chen, et al.. (2022). DP Compress: A Model Compression Scheme for Generating Efficient Deep Potential Models. Journal of Chemical Theory and Computation. 18(9). 5559–5567. 58 indexed citations
6.
Cui, Bingyan, et al.. (2022). Evaluating the effects of styrene-butadiene rubber (SBR) and polyphosphoric acid (PPA) on asphalt adhesion performance. Construction and Building Materials. 321. 126028–126028. 42 indexed citations
7.
Lu, Denghui, Hong Jiang, & Jianqi Lian. (2020). Hantavirus Infection during Pregnancy. Virologica Sinica. 36(3). 345–353. 9 indexed citations
8.
Lu, Denghui, Handong Wang, Mohan Chen, et al.. (2020). 86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. Computer Physics Communications. 259. 107624–107624. 148 indexed citations
9.
Jia, Weile, Handong Wang, Mohan Chen, et al.. (2020). Pushing the Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms with Machine Learning. 1–14. 120 indexed citations
10.
Lu, Denghui, et al.. (2019). Structure and dynamics of warm dense aluminum: a molecular dynamics study with density functional theory and deep potential. Journal of Physics Condensed Matter. 32(14). 144002–144002. 26 indexed citations
11.
Fu, Lvping, Ao Huang, Huazhi Gu, Denghui Lu, & Pengfei Lian. (2015). Effect of nano-alumina sol on the sintering properties and microstructure of microporous corundum. Materials & Design. 89. 21–26. 45 indexed citations
12.
Yang, Liming, et al.. (1984). Microscopic investigation of IBM and IBFM. Nuclear Physics A. 421. 229–248. 9 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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