Chenhui Song

724 total citations
10 papers, 633 citations indexed

About

Chenhui Song is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Chenhui Song has authored 10 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Chenhui Song's work include Advancements in Battery Materials (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Advanced Battery Materials and Technologies (2 papers). Chenhui Song is often cited by papers focused on Advancements in Battery Materials (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Advanced Battery Materials and Technologies (2 papers). Chenhui Song collaborates with scholars based in China, Australia and United States. Chenhui Song's co-authors include Jianli Cheng, Bin Wang, Jingwen Zhou, Xuelian Li, Kunkun Guo, Chao Yang, Yinchuan Li, Dingwang Yuan, Jun Lü and Ben Zhong Tang and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Energy.

In The Last Decade

Chenhui Song

9 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenhui Song China 7 335 215 174 150 70 10 633
Cancan Wang China 17 340 1.0× 144 0.7× 127 0.7× 227 1.5× 167 2.4× 40 787
Luntao Liu China 15 150 0.4× 380 1.8× 177 1.0× 73 0.5× 110 1.6× 23 701
Hao Jin China 13 334 1.0× 161 0.7× 202 1.2× 284 1.9× 54 0.8× 23 621
Jiali Zhang China 9 175 0.5× 269 1.3× 322 1.9× 115 0.8× 69 1.0× 15 525
Wonseok Yang South Korea 12 114 0.3× 230 1.1× 173 1.0× 57 0.4× 73 1.0× 22 452
Shanshan Mo China 11 273 0.8× 99 0.5× 121 0.7× 341 2.3× 112 1.6× 27 575
Chaedong Lee South Korea 15 447 1.3× 283 1.3× 294 1.7× 423 2.8× 81 1.2× 22 928
Yuxue Ding China 8 213 0.6× 111 0.5× 73 0.4× 110 0.7× 22 0.3× 8 359
Zijian Zhao China 19 507 1.5× 245 1.1× 155 0.9× 335 2.2× 215 3.1× 43 1.0k

Countries citing papers authored by Chenhui Song

Since Specialization
Citations

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

Fields of papers citing papers by Chenhui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenhui Song

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

All Works

10 of 10 papers shown
1.
2.
Nie, Xin, Chenhui Song, Ping Zhang, et al.. (2025). Survival impact and risk factors of skeletal muscle loss during first-line EGFR-TKIs therapy in advanced lung adenocarcinoma patients. BMC Cancer. 25(1). 393–393. 1 indexed citations
3.
Wang, Jiefei, Ping Shangguan, Xiaoyu Chen, et al.. (2024). A one-two punch targeting reactive oxygen species and fibril for rescuing Alzheimer’s disease. Nature Communications. 15(1). 705–705. 53 indexed citations
4.
Zhang, Jing, Lulu Han, Haigang Wu, et al.. (2023). A Brain‐Targeting NIR‐II Ferroptosis System: Effective Visualization and Oncotherapy for Orthotopic Glioblastoma. Advanced Science. 10(13). e2206333–e2206333. 38 indexed citations
5.
Nie, Xin, Ping Zhang, Chenhui Song, et al.. (2023). Durable response to afatinib in advanced lung adenocarcinoma harboring a novel NPTN-NRG1 fusion: a case report. World Journal of Surgical Oncology. 21(1). 246–246. 4 indexed citations
6.
Wang, Jiefei, Yi‐Sheng Liu, Marco Morsch, et al.. (2021). Brain‐Targeted Aggregation‐Induced‐Emission Nanoparticles with Near‐Infrared Imaging at 1550 nm Boosts Orthotopic Glioblastoma Theranostics. Advanced Materials. 34(5). e2106082–e2106082. 137 indexed citations
7.
Song, Chenhui, Yongpeng Li, Hui Li, et al.. (2019). A novel flexible fiber-shaped dual-ion battery with high energy density based on omnidirectional porous Al wire anode. Nano Energy. 60. 285–293. 51 indexed citations
8.
Zhang, Junxiang, Zhuanpei Wang, Jie Yang, et al.. (2019). Flexible Platinum-Free Fiber-Shaped Dye Sensitized Solar Cell with 10.28% Efficiency. ACS Applied Energy Materials. 2(4). 2870–2877. 52 indexed citations
9.
Liu, Qiang, Jingwen Zhou, Chenhui Song, et al.. (2019). 2.2V high performance symmetrical fiber-shaped aqueous supercapacitors enabled by “water-in-salt” gel electrolyte and N-Doped graphene fiber. Energy storage materials. 24. 495–503. 93 indexed citations
10.
Zhou, Jingwen, Xuelian Li, Chao Yang, et al.. (2018). A Quasi‐Solid‐State Flexible Fiber‐Shaped Li–CO2 Battery with Low Overpotential and High Energy Efficiency. Advanced Materials. 31(3). e1804439–e1804439. 204 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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