Weile Jia

2.0k total citations · 2 hit papers
21 papers, 1.3k citations indexed

About

Weile Jia is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Weile Jia has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 12 papers in Materials Chemistry and 4 papers in Condensed Matter Physics. Recurrent topics in Weile Jia's work include Advanced Chemical Physics Studies (12 papers), Machine Learning in Materials Science (9 papers) and Physics of Superconductivity and Magnetism (3 papers). Weile Jia is often cited by papers focused on Advanced Chemical Physics Studies (12 papers), Machine Learning in Materials Science (9 papers) and Physics of Superconductivity and Magnetism (3 papers). Weile Jia collaborates with scholars based in United States, China and Japan. Weile Jia's co-authors include Lin‐Wang Wang, Xuebin Chi, Weiguo Gao, Zongyan Cao, Long Wang, Lin Lin, Long Wang, Linfeng Zhang, Mohan Chen and Roberto Car and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Journal of Chemical Theory and Computation.

In The Last Decade

Weile Jia

19 papers receiving 1.3k 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.

The analysis of a plane wave pseudopotential density functional theory code on a GPU machine

2012 410 citations Weile Jia, Zongyan Cao et al. Computer Physics Communications profile →
Fast plane wave density functional theory molecular dynamics calculations on multi-GPU machines

2013 372 citations Weile Jia, Zongyan Cao et al. Journal of Computational Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weile Jia United States	13	833	453	310	232	103	21	1.3k
Ferenc Karsai Austria	16	1.4k 1.7×	481 1.1×	290 0.9×	95 0.4×	119 1.2×	21	1.7k
Christian Carbogno Germany	20	940 1.1×	326 0.7×	264 0.9×	110 0.5×	101 1.0×	39	1.2k
Andreas Pedersen Iceland	15	588 0.7×	279 0.6×	292 0.9×	128 0.6×	83 0.8×	26	1.0k
Bharat Medasani United States	16	913 1.1×	339 0.7×	160 0.5×	128 0.6×	111 1.1×	28	1.4k
William Huhn United States	17	781 0.9×	521 1.2×	355 1.1×	111 0.5×	105 1.0×	24	1.3k
Marcio Costa Brazil	17	900 1.1×	300 0.7×	577 1.9×	239 1.0×	54 0.5×	37	1.4k
Riccardo Sabatini United States	7	746 0.9×	294 0.6×	326 1.1×	102 0.4×	68 0.7×	7	1.1k
Tess Smidt United States	13	1.3k 1.6×	332 0.7×	233 0.8×	180 0.8×	67 0.7×	22	1.9k
S. Alireza Ghasemi Switzerland	18	1.1k 1.4×	266 0.6×	525 1.7×	50 0.2×	77 0.7×	33	1.5k

Countries citing papers authored by Weile Jia

Since Specialization

Citations

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

Fields of papers citing papers by Weile Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weile Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Weile Jia. A scholar is included among the top collaborators of Weile Jia 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 Weile Jia. Weile Jia 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

Jia, Weile, et al.. (2024). Distributed Multi-GPU Ab Initio Density Matrix Renormalization Group Algorithm with Applications to the P-Cluster of Nitrogenase. Journal of Chemical Theory and Computation. 20(2). 775–786. 15 indexed citations

Li, Boyang, et al.. (2024). Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day. 1–15.

Li, Haibo, Tong Zhao, Lin‐Wang Wang, et al.. (2024). 10-Million Atoms Simulation of First-Principle Package LS3DF. Journal of Computer Science and Technology. 39(1). 45–62. 3 indexed citations

Li, Li, et al.. (2023). Numerical study on the ductility improvement mechanism of dilute Mg-Ca alloys. Computational Materials Science. 228. 112381–112381. 4 indexed citations

Xue, Wei, Haohuan Fu, Weile Jia, & Guangming Tan. (2021). Editorial for the special issue on large-scale AI in classical HPC environment and AI for science. 3(3). 221–223. 1 indexed citations

Zepeda-Núñez, Leonardo, Yixiao Chen, Jiefu Zhang, et al.. (2021). Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks. Journal of Computational Physics. 443. 110523–110523. 18 indexed citations

Yu, Victor Wen‐zhe, William Harbutt Dawson, Alberto Garcı́a, et al.. (2020). ELSI — An open infrastructure for electronic structure solvers. Computer Physics Communications. 256. 107459–107459. 29 indexed citations

Hu, Wei, Xinming Qin, Hong An, et al.. (2020). High performance computing of DGDFT for tens of thousands of atoms using millions of cores on Sunway TaihuLight. Science Bulletin. 66(2). 111–119. 20 indexed citations

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

10.

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

11.

Jia, Weile & Lin Lin. (2019). Fast real-time time-dependent hybrid functional calculations with the parallel transport gauge and the adaptively compressed exchange formulation. Computer Physics Communications. 240. 21–29. 12 indexed citations

12.

Jia, Weile, Lin‐Wang Wang, & Lin Lin. (2019). Parallel transport time-dependent density functional theory calculations with hybrid functional on summit. 1–23. 10 indexed citations

13.

Jacquelin, Mathias, et al.. (2018). A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems. 54–63.

14.

Jia, Weile, Dong An, Lin‐Wang Wang, & Lin Lin. (2018). Fast Real-Time Time-Dependent Density Functional Theory Calculations with the Parallel Transport Gauge. Journal of Chemical Theory and Computation. 14(11). 5645–5652. 17 indexed citations

15.

Yu, Victor Wen‐zhe, Fabiano Corsetti, Alberto Garcı́a, et al.. (2017). ELSI: A unified software interface for Kohn–Sham electronic structure solvers. Computer Physics Communications. 222. 267–285. 81 indexed citations

16.

Jia, Weile & Lin Lin. (2017). Robust determination of the chemical potential in the pole expansion and selected inversion method for solving Kohn-Sham density functional theory. The Journal of Chemical Physics. 147(14). 144107–144107. 2 indexed citations

17.

Chen, Zhanghui, Weile Jia, Xiangwei Jiang, Shu‐Shen Li, & Lin‐Wang Wang. (2017). SGO: A fast engine for ab initio atomic structure global optimization by differential evolution. Computer Physics Communications. 219. 35–44. 15 indexed citations

18.

Jia, Weile, Jue Wang, Xuebin Chi, & Lin‐Wang Wang. (2016). GPU implementation of the linear scaling three dimensional fragment method for large scale electronic structure calculations. Computer Physics Communications. 211. 8–15. 19 indexed citations

19.

Jia, Weile, Zongyan Cao, Long Wang, et al.. (2013). Fast plane wave density functional theory molecular dynamics calculations on multi-GPU machines. Journal of Computational Physics. 251. 102–115. 372 indexed citations breakdown →

20.

Wang, Long, et al.. (2011). Large scale plane wave pseudopotential density functional theory calculations on GPU clusters. 1–10. 20 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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