Song Li

2.2k total citations · 1 hit paper
65 papers, 1.6k citations indexed

About

Song Li is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Song Li has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 27 papers in Electrical and Electronic Engineering and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Song Li's work include Graphene research and applications (12 papers), Advancements in Battery Materials (12 papers) and Diamond and Carbon-based Materials Research (10 papers). Song Li is often cited by papers focused on Graphene research and applications (12 papers), Advancements in Battery Materials (12 papers) and Diamond and Carbon-based Materials Research (10 papers). Song Li collaborates with scholars based in China, Hungary and Hong Kong. Song Li's co-authors include Ádám Gali, Alice Hu, Jyh‐Pin Chou, Gergő Thiering, Arash Samaei, Peter K. Liaw, Wei Guo, Gian Song, Yan Chen and Rui Feng and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Song Li

59 papers receiving 1.6k citations

Hit Papers

Lattice distortion in a strong and ductile refractory hig... 2018 2026 2020 2023 2018 100 200 300 400
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.

  1. Lattice distortion in a strong and ductile refractory high-entropy alloy
    2018 473 citations Chanho Lee, Gian Song et al. Acta Materialia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Li China 20 943 509 424 378 164 65 1.6k
Yan Long China 26 1.8k 1.9× 787 1.5× 736 1.7× 291 0.8× 346 2.1× 82 2.4k
Chenyang Zhou China 18 607 0.6× 299 0.6× 331 0.8× 72 0.2× 121 0.7× 54 1.1k
Yuan‐Chao Hu China 22 1.0k 1.1× 888 1.7× 435 1.0× 78 0.2× 149 0.9× 62 1.8k
Wen‐Zhen Wang China 26 688 0.7× 1.1k 2.1× 199 0.5× 429 1.1× 132 0.8× 85 1.8k
Wenfang Cao United States 22 625 0.7× 564 1.1× 427 1.0× 204 0.5× 284 1.7× 34 1.5k
Fangqin Hu China 11 386 0.4× 158 0.3× 243 0.6× 67 0.2× 235 1.4× 21 919
Le Zhang China 24 761 0.8× 95 0.2× 1.1k 2.6× 102 0.3× 103 0.6× 82 1.5k
C. H. Cheng China 14 181 0.2× 213 0.4× 248 0.6× 132 0.3× 125 0.8× 56 784
Xingming Zhang China 20 504 0.5× 249 0.5× 347 0.8× 85 0.2× 89 0.5× 58 1.0k
Weijian Li China 13 518 0.5× 264 0.5× 153 0.4× 68 0.2× 87 0.5× 40 821

Countries citing papers authored by Song Li

Since Specialization
Citations

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

Fields of papers citing papers by Song Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Li

This figure shows the co-authorship network connecting the top 25 collaborators of Song Li. A scholar is included among the top collaborators of Song 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 Song Li. Song 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.
Zhou, Ji-Yang, Song Li, Péter Udvarhelyi, et al.. (2025). Non-invasive bioinert room-temperature quantum sensor from silicon carbide qubits. Nature Materials. 24(12). 1913–1919.
2.
Li, Song, et al.. (2025). Solid State Defect Emitters With no Electrical Activity. Advanced Science. 12(30). e03350–e03350.
3.
Liu, Wenlong, Jianzong Man, Xiaodong Sun, et al.. (2025). The vertical Li+ deposition by gradient lithiophilic framework with layered filtration on separator for stable lithium metal anodes. Surfaces and Interfaces. 68. 106682–106682.
4.
5.
Primetzhofer, Daniel, Markus Andreas Schubert, Giovanni Capellini, et al.. (2024). All‐Epitaxial Self‐Assembly of Silicon Color Centers Confined Within Sub‐Nanometer Thin Layers Using Ultra‐Low Temperature Epitaxy. Advanced Materials. 36(48). e2408424–e2408424. 6 indexed citations
6.
Chen, Zhe, et al.. (2024). ZIF-derived "cocoon"-like in-situ Zn/N-doped carbon as high-capacity anodes for Li/Na-ion batteries. Colloids and Surfaces A Physicochemical and Engineering Aspects. 699. 134702–134702. 3 indexed citations
7.
Li, Song, et al.. (2024). Exceptionally strong coupling of defect emission in hexagonal boron nitride to stacking sequences. npj 2D Materials and Applications. 8(1). 13 indexed citations
8.
Jiang, Xin, et al.. (2024). Regeneration of Black Powders of Waste Lithium Iron Phosphate Battery Produced by Large‐Scale Industrialization. Energy Technology. 12(7). 4 indexed citations
9.
Korona, K.P., Mateusz Tokarczyk, G. Kowalski, et al.. (2024). Revealing polytypism in 2D boron nitride with UV photoluminescence. npj 2D Materials and Applications. 8(1). 10 indexed citations
10.
Udvarhelyi, Péter, et al.. (2023). Carbon cluster emitters in silicon carbide. Physical review. B.. 108(8). 6 indexed citations
11.
Liu, Chuangwei, Tianyi Wang, Zhongyuan Guo, et al.. (2023). The role of single-boron of N-doped graphene for effective nitrogen reduction. Journal of Material Science and Technology. 159. 244–250. 17 indexed citations
12.
Li, Song, Jyh‐Pin Chou, Alice Hu, et al.. (2020). Giant shift upon strain on the fluorescence spectrum of VNNB color centers in h-BN. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 36 indexed citations
13.
Ivády, Viktor, Gergely Barcza, Gergő Thiering, et al.. (2020). Ab initio theory of negatively charged boron vacancy qubit in hBN. Bulletin of the American Physical Society. 1 indexed citations
14.
Sun, Minglei, Wencheng Tang, Song Li, et al.. (2019). Molecular doping of blue phosphorene: a first-principles investigation. Journal of Physics Condensed Matter. 32(5). 55501–55501. 27 indexed citations
15.
Zhou, Wei, Song Li, Pei Kang Shen, et al.. (2019). Modified Embedded Atom Method Potential for Modeling the Thermodynamic Properties of High Thermal Conductivity Beryllium Oxide. ACS Omega. 4(4). 6339–6346. 14 indexed citations
16.
17.
Li, Song, Jyh‐Pin Chou, Hongti Zhang, Yang Lü, & Alice Hu. (2018). A study of strain-induced indirect-direct bandgap transition for silicon nanowire applications. Journal of Applied Physics. 125(8). 16 indexed citations
18.
Li, Song, et al.. (2018). First-principles calculations of the electronic properties of SiC-based bilayer and trilayer heterostructures. Physical Chemistry Chemical Physics. 20(38). 24726–24734. 81 indexed citations
19.
Li, Song, Hongti Zhang, Jyh‐Pin Chou, et al.. (2018). “Deep Ultra-Strength”-Induced Band Structure Evolution in Silicon Nanowires. The Journal of Physical Chemistry C. 122(27). 15780–15785. 6 indexed citations
20.
Lee, Chanho, Gian Song, Michael C. Gao, et al.. (2018). Lattice distortion in a strong and ductile refractory high-entropy alloy. Acta Materialia. 160. 158–172. 473 indexed citations breakdown →

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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