Kenan Song

2.7k total citations · 1 hit paper
81 papers, 1.9k citations indexed

About

Kenan Song is a scholar working on Biomedical Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Kenan Song has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 30 papers in Materials Chemistry and 24 papers in Automotive Engineering. Recurrent topics in Kenan Song's work include Additive Manufacturing and 3D Printing Technologies (22 papers), Advanced Sensor and Energy Harvesting Materials (21 papers) and Fiber-reinforced polymer composites (13 papers). Kenan Song is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (22 papers), Advanced Sensor and Energy Harvesting Materials (21 papers) and Fiber-reinforced polymer composites (13 papers). Kenan Song collaborates with scholars based in United States, Israel and Qatar. Kenan Song's co-authors include Dharneedar Ravichandran, Marilyn L. Minus, Weiheng Xu, Sayli Jambhulkar, Yuxiang Zhu, Yiying Zhang, Jiangsha Meng, Navid Tajaddod, Xiaoping Han and Guosheng Shao and has published in prestigious journals such as Nano Letters, ACS Nano and Advanced Functional Materials.

In The Last Decade

Kenan Song

73 papers receiving 1.8k citations

Hit Papers

3D printing for polymer/particle-based processing: A review 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenan Song United States 25 727 676 527 473 435 81 1.9k
Victoria G. Rocha Spain 21 607 0.8× 776 1.1× 298 0.6× 670 1.4× 299 0.7× 56 2.0k
Zixiang Weng China 24 1.1k 1.5× 560 0.8× 1.2k 2.3× 594 1.3× 822 1.9× 58 2.7k
Haichang Guo China 23 532 0.7× 966 1.4× 275 0.5× 391 0.8× 414 1.0× 51 2.0k
Ran Yu China 29 888 1.2× 517 0.8× 554 1.1× 706 1.5× 1.1k 2.5× 70 2.4k
Jiwen Wang China 19 807 1.1× 924 1.4× 206 0.4× 276 0.6× 362 0.8× 46 1.9k
Liwen Lei China 17 633 0.9× 453 0.7× 218 0.4× 613 1.3× 151 0.3× 36 1.6k
Xiaoning Tang China 24 1.3k 1.7× 589 0.9× 204 0.4× 269 0.6× 720 1.7× 82 2.3k
Ayou Hao United States 23 371 0.5× 787 1.2× 199 0.4× 804 1.7× 517 1.2× 34 1.9k
Zehui Du Singapore 24 682 0.9× 988 1.5× 471 0.9× 590 1.2× 117 0.3× 83 1.9k
Alan J. Jacobsen United States 19 590 0.8× 395 0.6× 871 1.7× 1.3k 2.7× 385 0.9× 23 2.3k

Countries citing papers authored by Kenan Song

Since Specialization
Citations

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

Fields of papers citing papers by Kenan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kenan Song. A scholar is included among the top collaborators of Kenan 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 Kenan Song. Kenan 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.
Sun, Xiao, Xianqiao Wang, Sui Yang, et al.. (2025). Multilayered Fabrication Containing Wind Turbine Blade Solid Wastes for High-Performance Composite Fibers. ACS Materials Au. 5(5). 809–822.
2.
Zhao, Lin, Taotao Wu, Ramana M. Pidaparti, et al.. (2025). Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives. Acta Biomaterialia. 203. 181–213.
3.
Ravichandran, Dharneedar, et al.. (2024). Machine learning–enabled direct ink writing of conductive polymer composites for enhanced performance in thermal management and current protection. Energy storage materials. 71. 103670–103670. 10 indexed citations
4.
Liu, Siying, Dharneedar Ravichandran, Yuxiang Zhu, et al.. (2024). Versatile Patterning of Liquid Metal via Multiphase 3D Printing. Small. 20(40). e2402432–e2402432. 6 indexed citations
5.
Ravichandran, Dharneedar, et al.. (2024). Coaxial Layered Fiber Spinning for Wind Turbine Blade Recycling. ACS Sustainable Chemistry & Engineering. 12(8). 3243–3255. 5 indexed citations
6.
Kublik, Natalya, Sayli Jambhulkar, Yizhen Zhu, et al.. (2023). Imbibition and rheology of polymer-matrix nanoporous metal composites: Towards extrusion-based 3D printing. Composites Part B Engineering. 265. 110913–110913. 4 indexed citations
7.
Zakertabrizi, Mohammad, et al.. (2023). Engineering Multimaterial Nanostructured Deposits by the Amphiphilicity Degree and Intermolecular Forces. Advanced Materials Technologies. 8(7). 4 indexed citations
8.
Zhu, Yuxiang, et al.. (2023). Highly loaded carbon fiber filaments for 3D‐printed composites. Journal of Polymer Science. 62(12). 2670–2682. 9 indexed citations
9.
Jambhulkar, Sayli, et al.. (2023). 3D printing aqueous Ti3C2Tx inks for MXene-based energy devices. Materials Advances. 4(18). 4103–4109. 6 indexed citations
10.
Jambhulkar, Sayli, et al.. (2023). Hybrid 3D printing for highly efficient nanoparticle micropatterning. Journal of Materials Chemistry C. 11(13). 4333–4341. 5 indexed citations
11.
Jambhulkar, Sayli, Dharneedar Ravichandran, Yuxiang Zhu, et al.. (2023). Nanoparticle Assembly: From Self‐Organization to Controlled Micropatterning for Enhanced Functionalities. Small. 20(6). e2306394–e2306394. 32 indexed citations
12.
Xu, Weiheng, Dharneedar Ravichandran, Sayli Jambhulkar, et al.. (2022). Continuous Nanoparticle Patterning Strategy in Layer‐Structured Nanocomposite Fibers. Advanced Functional Materials. 32(35). 12 indexed citations
13.
Xu, Weiheng, Dharneedar Ravichandran, Sayli Jambhulkar, Yuxiang Zhu, & Kenan Song. (2021). Hierarchically Structured Composite Fibers for Real Nanoscale Manipulation of Carbon Nanotubes. Advanced Functional Materials. 31(14). 38 indexed citations
14.
Xu, Weiheng, et al.. (2021). Reinforcing carbonized polyacrylonitrile fibers with nanoscale graphitic interface-layers. Journal of Material Science and Technology. 95. 78–87. 10 indexed citations
15.
Zhu, Yuxiang, Weiheng Xu, Dharneedar Ravichandran, Sayli Jambhulkar, & Kenan Song. (2021). A gill-mimicking thermoelectric generator (TEG) for waste heat recovery and self-powering wearable devices. Journal of Materials Chemistry A. 9(13). 8514–8526. 36 indexed citations
16.
Jambhulkar, Sayli, Siying Liu, Weiheng Xu, et al.. (2021). Aligned Ti3C2Tx MXene for 3D Micropatterning via Additive Manufacturing. ACS Nano. 15(7). 12057–12068. 37 indexed citations
17.
Xu, Weiheng, Sayli Jambhulkar, Yuxiang Zhu, et al.. (2021). 3D printing for polymer/particle-based processing: A review. Composites Part B Engineering. 223. 109102–109102. 226 indexed citations breakdown →
18.
Xu, Weiheng, et al.. (2020). Bioinspired, Mechanically Robust Chemiresistor for Inline Volatile Organic Compounds Sensing. Advanced Materials Technologies. 5(10). 13 indexed citations
19.
Jambhulkar, Sayli, et al.. (2020). Integrating 3D printing and self-assembly for layered polymer/nanoparticle microstructures as high-performance sensors. Journal of Materials Chemistry C. 8(28). 9495–9501. 26 indexed citations
20.
Ravichandran, Dharneedar, et al.. (2019). Fabricating Fibers of a Porous-Polystyrene Shell and Particle-Loaded Core. Molecules. 24(22). 4142–4142. 9 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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