Jun Song

2.1k total citations · 1 hit paper
69 papers, 1.7k citations indexed

About

Jun Song is a scholar working on Biomaterials, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Jun Song has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomaterials, 27 papers in Biomedical Engineering and 10 papers in Organic Chemistry. Recurrent topics in Jun Song's work include Advanced Cellulose Research Studies (17 papers), Electrospun Nanofibers in Biomedical Applications (15 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). Jun Song is often cited by papers focused on Advanced Cellulose Research Studies (17 papers), Electrospun Nanofibers in Biomedical Applications (15 papers) and Advanced Sensor and Energy Harvesting Materials (10 papers). Jun Song collaborates with scholars based in China, United Kingdom and United States. Jun Song's co-authors include Bowen Cheng, Pengfei Fei, Jiashen Li, Aleksander Kostka, Dierk Raabe, Liang Liao, Jinmin Meng, Fei Lu, Zihan Lu and Hugh Gong and has published in prestigious journals such as Chemical Reviews, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Song

63 papers receiving 1.7k citations

Hit Papers

Ultrasound-Based Micro-/Nanosystems for Biomedical Applic... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Song China 22 640 562 315 305 297 69 1.7k
Xuran Xu China 24 455 0.7× 613 1.1× 201 0.6× 547 1.8× 222 0.7× 49 1.6k
Sufeng Zhang China 26 698 1.1× 894 1.6× 195 0.6× 401 1.3× 227 0.8× 78 2.2k
Shunxi Song China 21 610 1.0× 563 1.0× 325 1.0× 506 1.7× 91 0.3× 65 1.7k
Mohammadreza Kalaee Iran 25 484 0.8× 572 1.0× 203 0.6× 654 2.1× 260 0.9× 99 2.0k
K.M. Nalin de Silva Sri Lanka 31 656 1.0× 726 1.3× 172 0.5× 647 2.1× 265 0.9× 73 2.3k
Heng Zhang China 20 669 1.0× 491 0.9× 131 0.4× 218 0.7× 137 0.5× 79 1.4k
Xiaoyong Zhang China 24 340 0.5× 776 1.4× 169 0.5× 577 1.9× 322 1.1× 48 1.7k
Andreea Mădălina Pandele Romania 24 640 1.0× 1.0k 1.8× 220 0.7× 609 2.0× 185 0.6× 60 2.0k
Jianning Wu China 26 450 0.7× 511 0.9× 154 0.5× 654 2.1× 289 1.0× 91 2.0k
Mohammad Sabzi Iran 27 831 1.3× 764 1.4× 196 0.6× 502 1.6× 286 1.0× 42 2.4k

Countries citing papers authored by Jun Song

Since Specialization
Citations

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

Fields of papers citing papers by Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Song. A scholar is included among the top collaborators of Jun 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 Jun Song. Jun Song 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.
Dong, Zhijia, et al.. (2025). Programmable helix-tubular composites with bio-inspired architecture. Materials & Design. 252. 113779–113779.
2.
Chen, Zhongda, Jun Song, Jing Zhu, et al.. (2025). Mechanical Compatibility in Stitch Configuration and Sensor Adhesion for High‐Fidelity Pulse Wave Monitoring. Advanced Science. 12(14). e2415608–e2415608.
3.
Song, Jun, Yilu Chen, & Zhongda Chen. (2024). Hierarchical Porous Reduced Graphene Oxide/Poly(l-lactic acid) Fiber Films: The Influence of Recrystallization on Strength. ACS Omega. 9(25). 27358–27368. 1 indexed citations
4.
Huang, Hui, Meiqi Chang, Jun Song, et al.. (2024). Ultrasound-Based Micro-/Nanosystems for Biomedical Applications. Chemical Reviews. 124(13). 8307–8472. 87 indexed citations breakdown →
5.
Chen, Meng, Jun Song, Samira Malekmohammadi, et al.. (2024). Hierarchical porous poly (L-lactic acid) fibrous vascular graft with controllable architectures and stable structure. Materials & Design. 240. 112829–112829. 9 indexed citations
6.
Wang, Weiling, Laurent Li, Yujiao Wang, et al.. (2024). Reinforced nanowrinkle electrospun photothermal membranes via solvent‐induced recrystallization. EcoMat. 6(6). 4 indexed citations
7.
Wang, Min, Luyao Wang, Jun Song, et al.. (2024). Tau Protein Accumulation Trajectory-Based Brain Age Prediction in the Alzheimer’s Disease Continuum. Brain Sciences. 14(6). 575–575. 2 indexed citations
8.
Chen, Meng, Xuzhao Liu, Renzhi Li, et al.. (2024). 3D Poly (L-lactic acid) fibrous sponge with interconnected porous structure for bone tissue scaffold. International Journal of Biological Macromolecules. 268(Pt 1). 131688–131688. 15 indexed citations
9.
Song, Jun, et al.. (2022). The Effects of Traditional Concepts on Personal Values Among University Students in China. Frontiers in Psychology. 13. 872768–872768. 5 indexed citations
10.
Cao, Qichen, et al.. (2021). Effects of Expanded Graphite, Aluminum Hydroxide, and Kaolin on Flame Retardancy and Smoke Suppression of Polyurethane Composites. International Polymer Processing. 36(1). 3–12. 3 indexed citations
11.
Zhang, Dongbo, et al.. (2021). Mechanical properties of fiber-reinforced asphalt concrete: Finite element simulation and experimental study. e-Polymers. 21(1). 533–548. 7 indexed citations
12.
Wei, Liying, Jun Song, Bowen Cheng, & Zhanping Yang. (2020). Synthesis, characterization and antibacterial properties of novel cellulose acetate sorbate. Carbohydrate Polymers. 243. 116416–116416. 29 indexed citations
13.
Zhu, Jing, Zihan Lu, Jun Song, et al.. (2020). Ultrafast bone-like apatite formation on highly porous poly(l-lactic acid)-hydroxyapatite fibres. Materials Science and Engineering C. 116. 111168–111168. 32 indexed citations
14.
Zhao, Fajun, et al.. (2018). Performance and thermal decomposition analysis of foaming agent NPL-10 for use in heavy oil recovery by steam injection. Open Chemistry. 16(1). 29–34. 3 indexed citations
15.
Fei, Pengfei, et al.. (2017). Non-leaching antibacterial cellulose triacetate reverse osmosis membrane via covalent immobilization of quaternary ammonium cations. Carbohydrate Polymers. 181. 1102–1111. 58 indexed citations
16.
Wang, Lejun, Lei Gao, Bowen Cheng, et al.. (2014). Rheological behaviors of cellulose in 1-ethyl-3-methylimidazolium chloride/dimethylsulfoxide. Carbohydrate Polymers. 110. 292–297. 38 indexed citations
17.
Zang, Hongjun, et al.. (2010). Ionic liquid [EMIM]OAc under ultrasonic irradiation towards the first synthesis of trisubstituted imidazoles. Ultrasonics Sonochemistry. 17(5). 749–751. 124 indexed citations
18.
Ji, Xiujie, Bowen Cheng, Jun Song, Chao Liu, & Yufei Wang. (2009). Nitro-Group–Directed Selective Dealkylation. Synthetic Communications. 39(11). 2053–2057. 2 indexed citations
19.
Wang, Meiling, et al.. (2008). Ultrasound-promoted synthesis of oximes catalyzed by a basic ionic liquid [bmIm]OH. Ultrasonics Sonochemistry. 16(3). 301–303. 76 indexed citations
20.
Song, Jun. (2007). Main geological hazards and monitoring methods in common use in the southwest region of China. The Chinese Journal of Geological Hazard and Control.

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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