Leon L. Shaw

12.5k total citations · 4 hit papers
235 papers, 10.5k citations indexed

About

Leon L. Shaw is a scholar working on Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Leon L. Shaw has authored 235 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Materials Chemistry, 94 papers in Mechanical Engineering and 75 papers in Electrical and Electronic Engineering. Recurrent topics in Leon L. Shaw's work include Advancements in Battery Materials (53 papers), Advanced ceramic materials synthesis (44 papers) and Advanced Battery Materials and Technologies (43 papers). Leon L. Shaw is often cited by papers focused on Advancements in Battery Materials (53 papers), Advanced ceramic materials synthesis (44 papers) and Advanced Battery Materials and Technologies (43 papers). Leon L. Shaw collaborates with scholars based in United States, China and Spain. Leon L. Shaw's co-authors include Kun Dai, Maziar Ashuri, Qianran He, Zhao Ding, Juan Camilo Villegas, Ruiming Ren, Monica Sawicki, Ángel L. Ortiz, Lin Chen and Zhenguo Yang and has published in prestigious journals such as Advanced Materials, Nano Letters and Applied Physics Letters.

In The Last Decade

Leon L. Shaw

228 papers receiving 10.2k citations

Hit Papers

Silicon as a potential an... 2015 2026 2018 2022 2015 2022 2024 2025 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leon L. Shaw 5.0k 4.5k 3.1k 1.6k 1.5k 235 10.5k
Olivier Guillon 6.6k 1.3× 3.5k 0.8× 5.9k 1.9× 662 0.4× 1.7k 1.1× 421 12.1k
Zhigang Zak Fang 5.2k 1.0× 5.6k 1.2× 1.4k 0.5× 1.3k 0.8× 702 0.5× 214 9.7k
Chang‐An Wang 4.1k 0.8× 2.5k 0.6× 3.4k 1.1× 394 0.2× 1.2k 0.8× 328 9.3k
A. Gebert 5.0k 1.0× 5.7k 1.3× 1.9k 0.6× 690 0.4× 400 0.3× 304 9.2k
Fuxing Yin 7.3k 1.5× 7.4k 1.6× 2.6k 0.9× 2.3k 1.4× 377 0.2× 534 13.0k
Shijian Zheng 5.5k 1.1× 4.8k 1.1× 2.3k 0.8× 1.1k 0.7× 295 0.2× 242 9.6k
Kuo‐Chih Chou 5.3k 1.1× 5.5k 1.2× 2.0k 0.6× 649 0.4× 187 0.1× 451 10.3k
Chunnian He 7.2k 1.4× 5.8k 1.3× 8.2k 2.7× 620 0.4× 1.6k 1.1× 367 16.4k
Minghao Fang 6.1k 1.2× 4.9k 1.1× 4.3k 1.4× 217 0.1× 1.1k 0.7× 437 12.7k
H. Habazaki 11.2k 2.2× 3.4k 0.7× 5.7k 1.9× 1.7k 1.0× 203 0.1× 641 16.2k

Countries citing papers authored by Leon L. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Leon L. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon L. Shaw. 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 Leon L. Shaw. The network helps show where Leon L. Shaw may publish in the future.

Co-authorship network of co-authors of Leon L. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Leon L. Shaw. A scholar is included among the top collaborators of Leon L. Shaw 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 Leon L. Shaw. Leon L. Shaw 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.
Pereira, Marcelo Lopes, et al.. (2025). Unveiling the potential of 3D TH-graphyne: a porous carbon anode for efficient potassium-ion storage. Physica Scripta. 100(11). 115930–115930.
2.
Ashuri, Maziar, Qianran He, & Leon L. Shaw. (2025). Sodium chloride template-assisted synthesis of silicon/carbon anode nanocomposites for lithium-ion batteries. 6. 100069–100069.
3.
Saleem, Adil, Leon L. Shaw, Zhiqian Chen, & Wei Lai. (2025). State‐of‐the‐Art Machine Learning Technology for Sustainable Lithium Battery Cathode Design: A Perspective. Advanced Energy Materials. 15(31). 2 indexed citations
4.
Li, Yuting, Zhao Ding, Han Jiang, et al.. (2025). Spatially Programmed Confinement Catalysis Enables High-Performance Magnesium Hydrogen Storage. Nano Letters. 25(48). 16801–16808.
5.
Saleem, Adil, Rashid Iqbal, Muhammad K. Majeed, et al.. (2024). Boosting lithium-ion conductivity of polymer electrolyte by selective introduction of covalent organic frameworks for safe lithium metal batteries. Nano Energy. 128. 109848–109848. 24 indexed citations
6.
Saleem, Adil, Leon L. Shaw, Rashid Iqbal, et al.. (2024). Ni-rich cathode evolution: exploring electrochemical dynamics and strategic modifications to combat degradation. Energy storage materials. 69. 103440–103440. 20 indexed citations
7.
Xu, Yaohui, Yang Zhou, Chaoqun Li, et al.. (2024). Unraveling the Potential of Solid-State Hydrogen Storage Materials: Insights from First Principle Calculations. Fuel. 373. 132340–132340. 31 indexed citations
8.
Chen, Changlong, Alberto Mittone, Viktor Nikitin, et al.. (2024). Probing microstructure evolution of Si/C anode for Li-ion batteries via synchrotron transmission X-ray tomographic microscopy. Journal of Power Sources. 623. 235378–235378. 1 indexed citations
9.
Saleem, Adil, Leon L. Shaw, Mehwish Khalid Butt, et al.. (2024). Achieving dynamic stability of single-crystal low-Co Ni-rich cathode material for high performance lithium batteries. Journal of Materials Chemistry A. 12(44). 30831–30841. 6 indexed citations
10.
Luo, Mei, et al.. (2024). On the Specific Capacity and Cycle Stability of Si@void@C Anode: Effects of Electrolytes. Journal of The Electrochemical Society. 171(5). 50555–50555. 2 indexed citations
11.
Shi, Zhepu, et al.. (2023). On the Electrochemical Properties of Carbon-Coated NaCrO2 for Na-Ion Batteries. Batteries. 9(9). 433–433. 3 indexed citations
12.
Kaduk, James A., et al.. (2023). High ionic conducting NaSICON enabled by mechanical activation enhanced reaction. Materials Chemistry and Physics. 312. 128656–128656. 9 indexed citations
13.
Chen, Changlong, et al.. (2023). Deconvolution of the electrochemical impedance of Na/NaCrO2 cells with ester- and ether-based electrolytes. Journal of Power Sources. 580. 233465–233465. 5 indexed citations
14.
Ding, Zhao, Yuting Li, Hang Yang, et al.. (2022). Tailoring MgH2 for hydrogen storage through nanoengineering and catalysis. Journal of Magnesium and Alloys. 10(11). 2946–2967. 203 indexed citations breakdown →
15.
Yang, Weijie, et al.. (2020). Thermodynamics and Kinetics Tuning of LiBH4 for Hydrogen Storage. Huaxue jinzhan. 64. 30 indexed citations
16.
Ding, Zhao, Zhiqian Chen, Tianyi Ma, et al.. (2019). Predicting the hydrogen release ability of LiBH 4 -based mixtures by ensemble machine learning. Energy storage materials. 27. 466–477. 87 indexed citations
17.
Liu, Caihong, et al.. (2015). Room Temperature, Hybrid Sodium-Based Flow Batteries with Multi-Electron Transfer Redox Reactions. Scientific Reports. 5(1). 11215–11215. 20 indexed citations
18.
Wang, Jiwen & Leon L. Shaw. (2009). Nanocrystalline hydroxyapatite with simultaneous enhancements in hardness and toughness. Biomaterials. 30(34). 6565–6572. 144 indexed citations
19.
Wang, Jiwen & Leon L. Shaw. (2009). Synthesis of high purity hydroxyapatite nanopowder via sol–gel combustion process. Journal of Materials Science Materials in Medicine. 20(6). 1223–1227. 24 indexed citations
20.
Shaw, Leon L.. (2000). Processing nanostructured materials: An overview. JOM. 52(12). 41–45. 33 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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