Jian Song
- Molecular Medicine top 5%
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications 9
- Aerospace Engineering top 2%
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- Optical Wireless Communication Technologies 10
- Advanced Wireless Communication Technologies 7
- Advanced Photonic Communication Systems 6
- Surfaces, Coatings and Films top 5%
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- Orthopaedic implants and arthroplasty 13
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- Tribology and Wear Analysis 12
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- Advanced materials and composites 6
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- Bone Tissue Engineering Materials 6
Jian Song
147 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Medicine 142
- Biomaterials 277
- Aerospace Engineering 512
- Electrical and Electronic Engineering 1.0k
- Surfaces, Coatings and Films 97
Countries citing papers authored by Jian Song
This map shows the geographic impact of Jian 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 Jian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Song more than expected).
Fields of papers citing papers by Jian Song
This network shows the impact of papers produced by Jian 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 Jian Song. The network helps show where Jian Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 53 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 8 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 83 | |
| 12 | 2019 | 7 | |
| 13 | 2013 | 14 | |
| 14 | Experimental Study on Surface-Wave Evolution Behavior of Water Film Falling Down Vertical Plate | 2012 | 1 |
| 15 | Target Identification Method of Eggplants Picking Robot Based on Improved BP Neural Network | 2011 | 1 |
| 16 | Design and experiment of distance measuring system with single camera for picking robot | 2010 | 2 |
| 17 | Application of Auto-thresholding Selection for eggplant Image Segmentation in the growth environment | 2007 | 1 |
| 18 | Experimental study on flow structure of a dual-jet | 2006 | 6 |
| 19 | Numerical simulation of dual jet turbulent flow with combined coaxial swirling and round jet | 2004 | 5 |
| 20 | Intelligent Controlling System Based on CAN Bus for Greenhouse | 2004 | 1 |
About Jian Song
Jian Song is a scholar working on Molecular Medicine, Biomaterials and Electrical and Electronic Engineering, having authored 166 papers that have together received 3.4k indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (13 papers), Tribology and Wear Analysis (12 papers), Optical Wireless Communication Technologies (10 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Advanced Wireless Communication Technologies (7 papers), Advanced materials and composites (6 papers), Advanced Photonic Communication Systems (6 papers) and Bone Tissue Engineering Materials (6 papers). The work is most often cited by research in Molecular Medicine (142 citations), Biomaterials (277 citations) and Aerospace Engineering (512 citations). Jian Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Marco Di Renzo, Vojo Deretić, Oliver Lieleg, Weiqiang Liu, Thomas C. Zahrt, Zhenhua Liao, Dalei Jing, Yuhong Liu, Mathias Fink and Julien de Rosny. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and ACS Nano.
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.