Shangsi Chen

977 total citations
37 papers, 709 citations indexed

About

Shangsi Chen is a scholar working on Biomedical Engineering, Automotive Engineering and Orthodontics. According to data from OpenAlex, Shangsi Chen has authored 37 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 13 papers in Automotive Engineering and 7 papers in Orthodontics. Recurrent topics in Shangsi Chen's work include Bone Tissue Engineering Materials (17 papers), 3D Printing in Biomedical Research (17 papers) and Additive Manufacturing and 3D Printing Technologies (13 papers). Shangsi Chen is often cited by papers focused on Bone Tissue Engineering Materials (17 papers), 3D Printing in Biomedical Research (17 papers) and Additive Manufacturing and 3D Printing Technologies (13 papers). Shangsi Chen collaborates with scholars based in China, Hong Kong and United Kingdom. Shangsi Chen's co-authors include Yufei Shi, Jun Ma, Min Wang, Yun Luo, Jiaming Bai, Haowen Liang, Xin Zhang, Yang Liu, Jiahui Lai and Yue Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Journal of Hazardous Materials.

In The Last Decade

Shangsi Chen

33 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangsi Chen China 15 512 220 138 90 79 37 709
Myoung Hwan Kim United States 14 616 1.2× 286 1.3× 208 1.5× 80 0.9× 49 0.6× 20 743
Yanlong Han China 9 433 0.8× 208 0.9× 188 1.4× 70 0.8× 52 0.7× 16 605
Huanlong Hu China 13 387 0.8× 187 0.8× 93 0.7× 63 0.7× 53 0.7× 27 621
Jéssica A. Ferreira United States 16 513 1.0× 125 0.6× 259 1.9× 81 0.9× 166 2.1× 20 840
Dishary Banerjee United States 16 814 1.6× 257 1.2× 174 1.3× 197 2.2× 95 1.2× 25 980
Zahra Yazdanpanah Canada 11 530 1.0× 191 0.9× 271 2.0× 120 1.3× 44 0.6× 18 719
Hao Zhu China 15 452 0.9× 253 1.1× 134 1.0× 119 1.3× 64 0.8× 29 972
Marco Antonio Velasco Peña Colombia 7 347 0.7× 95 0.4× 130 0.9× 110 1.2× 54 0.7× 19 464
Sean M. Bittner United States 7 439 0.9× 205 0.9× 130 0.9× 75 0.8× 41 0.5× 7 527
Krishna C. R. Kolan United States 12 516 1.0× 300 1.4× 95 0.7× 82 0.9× 98 1.2× 22 576

Countries citing papers authored by Shangsi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shangsi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangsi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shangsi Chen. A scholar is included among the top collaborators of Shangsi Chen 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 Shangsi Chen. Shangsi Chen 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
2.
Chen, Shangsi, Jun O. Liu, Zhengyin Yan, et al.. (2025). When artificial intelligence (AI) meets organoids and organs-on-chips (OoCs): Game-changer for drug discovery and development?. 3(1). 100115–100115. 10 indexed citations
3.
Lai, Jiahui, Shangsi Chen, Jun Liu, et al.. (2025). Facile Single‐Nanocomposite 4D Bioprinting of Dynamic Hydrogel Constructs with Thickness‐Controlled Gradient. Advanced Science. 12(39). e09449–e09449. 3 indexed citations
4.
Chen, Shangsi, James J. Yoo, & Min Wang. (2025). The application of tissue engineering strategies for uterine regeneration. Materials Today Bio. 31. 101594–101594.
5.
Chen, Shangsi, et al.. (2025). A review of graded scaffolds made by additive manufacturing for tissue engineering: design, fabrication and properties. Biofabrication. 17(2). 22009–22009. 3 indexed citations
6.
Liu, Yang, Shangsi Chen, Ming-Fung Francis Siu, et al.. (2024). Enhancing bone regeneration through 3D printed biphasic calcium phosphate scaffolds featuring graded pore sizes. Bioactive Materials. 46. 21–36. 17 indexed citations
7.
Li, Huihua, Shangsi Chen, Waruna Lakmal Dissanayaka, & Min Wang. (2024). Gelatin Methacryloyl/Sodium Alginate/Cellulose Nanocrystal Inks and 3D Printing for Dental Tissue Engineering Applications. ACS Omega. 9(49). 48361–48373. 6 indexed citations
9.
Wang, Yifan, Shangsi Chen, Tao Jiang, et al.. (2024). Biomimetic non-collagenous proteins-calcium phosphate complex with superior osteogenesis via regulating macrophage IL-27 secretion. Biomaterials. 315. 122917–122917. 3 indexed citations
10.
Chen, Shangsi, et al.. (2024). 3D printed gelatin/PTMC core/shell scaffolds with NIR laser-tuned drug/biomolecule release for cancer therapy and uterine regeneration. International Journal of Biological Macromolecules. 283(Pt 1). 137193–137193. 4 indexed citations
11.
Liao, Changzhong, Chung‐Kai Chang, Ying Zhou, et al.. (2024). Green conversion of waste alkaline battery material to zeolitic imidazolate framework-8 and its iodine capture mechanism. Journal of Hazardous Materials. 469. 133612–133612. 10 indexed citations
12.
Zhang, Qin, Shangsi Chen, Dongkuan Xu, et al.. (2023). A Survey for Efficient Open Domain Question Answering. 14447–14465. 14 indexed citations
13.
14.
Lai, Jiahui, Chong Wang, Jia Liu, et al.. (2022). Low temperature hybrid 3D printing of hierarchically porous bone tissue engineering scaffolds with in situ delivery of osteogenic peptide and mesenchymal stem cells. Biofabrication. 14(4). 45006–45006. 38 indexed citations
15.
Liang, Haowen, et al.. (2022). Nano-Hydroxyapatite Bone Scaffolds with Different Porous Structures Processed by Digital Light Processing 3D Printing. International Journal of Bioprinting. 8(1). 502–502. 43 indexed citations
16.
Deng, Zhiquan, et al.. (2021). A Novel Hybrid Axial Magnetic Bearing that Produces a Unidirectional Electromagnetic Force. 1–4. 2 indexed citations
17.
Chen, Shangsi, et al.. (2020). Evaluation of BMP-2 and VEGF loaded 3D printed hydroxyapatite composite scaffolds with enhanced osteogenic capacity in vitro and in vivo. Materials Science and Engineering C. 112. 110893–110893. 87 indexed citations
18.
Tan, Shenglong, Shangsi Chen, Yifan Wang, et al.. (2020). Enhanced effect of nano-monetite hydrosol on dentin remineralization and tubule occlusion. Dental Materials. 36(6). 816–825. 19 indexed citations
19.
Chen, Shangsi, Yufei Shi, Yun Luo, & Jun Ma. (2019). Layer-by-layer coated porous 3D printed hydroxyapatite composite scaffolds for controlled drug delivery. Colloids and Surfaces B Biointerfaces. 179. 121–127. 50 indexed citations
20.
Luo, Yun, Shangsi Chen, Yufei Shi, & Jun Ma. (2018). 3D printing of strontium-doped hydroxyapatite based composite scaffolds for repairing critical-sized rabbit calvarial defects. Biomedical Materials. 13(6). 65004–65004. 47 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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