Linwei Sai

735 total citations
38 papers, 589 citations indexed

About

Linwei Sai is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Linwei Sai has authored 38 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 18 papers in Atomic and Molecular Physics, and Optics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Linwei Sai's work include Advanced Chemical Physics Studies (16 papers), Boron and Carbon Nanomaterials Research (14 papers) and Machine Learning in Materials Science (9 papers). Linwei Sai is often cited by papers focused on Advanced Chemical Physics Studies (16 papers), Boron and Carbon Nanomaterials Research (14 papers) and Machine Learning in Materials Science (9 papers). Linwei Sai collaborates with scholars based in China, United States and Mongolia. Linwei Sai's co-authors include Jijun Zhao, Xiaoming Huang, Yan Su, Xue Wu, Ruili Shi, Lingli Tang, Xiaoqing Liang, R. Bruce King, Vijay Kumar and Fengyu Li and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and The Journal of Physical Chemistry.

In The Last Decade

Linwei Sai

37 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linwei Sai China 14 486 194 107 75 61 38 589
Peter L. Rodríguez‐Kessler Mexico 15 506 1.0× 217 1.1× 122 1.1× 72 1.0× 30 0.5× 75 627
Gerd Gantefoer Germany 12 294 0.6× 164 0.8× 131 1.2× 60 0.8× 14 0.2× 29 438
Guangfen Wu China 14 393 0.8× 163 0.8× 38 0.4× 124 1.7× 26 0.4× 18 492
Qiuying Du China 11 372 0.8× 126 0.6× 136 1.3× 57 0.8× 13 0.2× 24 451
Xiao Yu Kuang China 6 324 0.7× 165 0.9× 149 1.4× 39 0.5× 43 0.7× 8 412
Huai‐Qian Wang China 16 534 1.1× 291 1.5× 221 2.1× 91 1.2× 31 0.5× 70 675
Karol J. Fijałkowski Poland 14 485 1.0× 70 0.4× 161 1.5× 47 0.6× 32 0.5× 31 620
Vikas Chauhan United States 15 511 1.1× 163 0.8× 227 2.1× 84 1.1× 8 0.1× 24 578
Kh.M. Eid Egypt 16 491 1.0× 106 0.5× 31 0.3× 208 2.8× 36 0.6× 44 655

Countries citing papers authored by Linwei Sai

Since Specialization
Citations

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

Fields of papers citing papers by Linwei Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linwei Sai

This figure shows the co-authorship network connecting the top 25 collaborators of Linwei Sai. A scholar is included among the top collaborators of Linwei Sai 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 Linwei Sai. Linwei Sai 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, Qianlin, Chunmei Tang, Yuanyuan Wang, et al.. (2024). Hydrogen evolution reaction performance of Pt modified monolayer MC2 MXene (M=W, Cr, Mo). Materials Today Communications. 40. 109763–109763. 1 indexed citations
2.
Li, Jiaqi, et al.. (2024). Possibility of defective monolayer graphene as potential anode material of metal-ion batteries. Materials Today Communications. 40. 109492–109492. 1 indexed citations
3.
Liao, Rui, et al.. (2024). B63: The Most Stable Bilayer Structure with Dual Aromaticity. The Journal of Physical Chemistry Letters. 15(15). 4167–4174. 4 indexed citations
4.
Wang, Shukai, Shuaiyu Wang, Rong Liu, et al.. (2023). Coexistence of Electronic and Phononic Dirac Points in TiB2 Monolayer with Inverse Sandwich Motif. The Journal of Physical Chemistry C. 127(26). 12788–12794. 7 indexed citations
5.
Wu, Xue, Rui Liao, Xiaoqing Liang, et al.. (2023). Pivotal role of the B12-core in the structural evolution of B52–B64 clusters. Nanoscale. 15(24). 10430–10436. 5 indexed citations
6.
Sai, Linwei, Fu Li, & Jijun Zhao. (2023). Predicting Binding Energies and Electronic Properties of Boron Nitride Fullerenes Using a Graph Convolutional Network. Journal of Chemical Information and Modeling. 64(7). 2645–2653. 1 indexed citations
7.
Sai, Linwei, Xue Wu, & Fengyu Li. (2022). B96: a complete core–shell structure with high symmetry. Physical Chemistry Chemical Physics. 24(26). 15687–15690. 16 indexed citations
8.
Sai, Linwei, Li Fu, Qiuying Du, & Jijun Zhao. (2022). Graph attention network for global search of atomic clusters: A case study of Agn (n = 14−26) clusters. Frontiers of Physics. 18(1). 11 indexed citations
9.
Sai, Linwei, et al.. (2021). Theoretical Design of Novel Boron-Based Nanowires via Inverse Sandwich Clusters. Frontiers in Chemistry. 9. 753617–753617. 5 indexed citations
10.
Shi, Ruili, Zhi Zhao, Xiaoming Huang, et al.. (2021). Ground-State Structures of Hydrated Calcium Ion Clusters From Comprehensive Genetic Algorithm Search. Frontiers in Chemistry. 9. 637750–637750. 10 indexed citations
11.
Du, Qiuying, et al.. (2020). Structure Evolution of Transition Metal-doped Gold Clusters M@Au₁₂ (M = 3d–5d): Across the Periodic Table. The Journal of Physical Chemistry.
12.
Wang, Shukai, et al.. (2020). A super stable assembled P nanowire with variant structural and magnetic/electronic properties via transition metal adsorption. Nanoscale. 12(23). 12454–12461. 7 indexed citations
13.
Du, Qiuying, Xue Wu, Ruili Shi, et al.. (2019). Evolution of atomic structures of SnN, SnN−, and SnNCl− clusters (N = 4–20): Insight from ab initio calculations. The Journal of Chemical Physics. 150(17). 174304–174304. 15 indexed citations
14.
Sai, Linwei, et al.. (2019). Structural Evolution of Medium-Sized Phosphorus Clusters (P20–P36) from Ab Initio Global Search. Journal of Cluster Science. 31(3). 567–574. 5 indexed citations
15.
Sai, Linwei, Xue Wu, Nan Gao, Jijun Zhao, & R. Bruce King. (2017). Boron clusters with 46, 48, and 50 atoms: competition among the core–shell, bilayer and quasi-planar structures. Nanoscale. 9(37). 13905–13909. 49 indexed citations
16.
Huang, Xiaoming, Yan Su, Linwei Sai, Jijun Zhao, & Vijay Kumar. (2014). Low-Energy Structures of Binary Pt–Sn Clusters from Global Search Using Genetic Algorithm and Density Functional Theory. Journal of Cluster Science. 26(2). 389–409. 30 indexed citations
17.
Huang, Xiaoming, Linwei Sai, Xue Jiang, & Jijun Zhao. (2013). Ground state structures, electronic and optical properties of medium-sized Nan + (n = 9, 15, 21, 26, 31, 36, 41, 50 and 59) clusters from ab initio genetic algorithm. The European Physical Journal D. 67(2). 11 indexed citations
18.
Sai, Linwei, et al.. (2012). Structural Evolution and Electronic Properties of Medium-Sized Gallium Clusters from <I>Ab Initio</I> Genetic Algorithm Search. Journal of Nanoscience and Nanotechnology. 12(1). 132–137. 13 indexed citations
19.
Tang, Lingli, et al.. (2011). A Topological method for global optimization of clusters: Application to (TiO2)n (n = 1–6). Journal of Computational Chemistry. 33(2). 163–169. 16 indexed citations
20.
Tang, Lingli, et al.. (2011). Nonclassical Cn (n=30–40, 50) fullerenes containing five-, six-, seven-member rings. Computational and Theoretical Chemistry. 969(1-3). 35–43. 4 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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