Feng Cheng

3.0k total citations
52 papers, 2.2k citations indexed

About

Feng Cheng is a scholar working on Biomaterials, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Feng Cheng has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomaterials, 19 papers in Biomedical Engineering and 12 papers in Rehabilitation. Recurrent topics in Feng Cheng's work include Electrospun Nanofibers in Biomedical Applications (19 papers), Wound Healing and Treatments (12 papers) and 3D Printing in Biomedical Research (11 papers). Feng Cheng is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (19 papers), Wound Healing and Treatments (12 papers) and 3D Printing in Biomedical Research (11 papers). Feng Cheng collaborates with scholars based in China, United States and Mexico. Feng Cheng's co-authors include Jinmei He, Hongbin Li, Xinjing Wei, Yudong Huang, Xiaotong Yi, Tingsheng Yan, Yu Shrike Zhang, Changyu Liu, Jing Gao and Lu Wang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Feng Cheng

50 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Cheng China 27 896 813 429 388 374 52 2.2k
Tingli Lu China 28 1.2k 1.4× 1.4k 1.7× 499 1.2× 646 1.7× 384 1.0× 79 3.5k
Yajie Xie China 28 997 1.1× 659 0.8× 361 0.8× 189 0.5× 298 0.8× 71 2.1k
Yazhong Bu China 19 715 0.8× 550 0.7× 340 0.8× 161 0.4× 500 1.3× 43 1.9k
Eugene Lih South Korea 17 887 1.0× 578 0.7× 267 0.6× 114 0.3× 437 1.2× 24 1.6k
Guangqian Lan China 24 1.0k 1.1× 444 0.5× 781 1.8× 244 0.6× 351 0.9× 38 1.9k
Pengfei Li China 25 832 0.9× 909 1.1× 509 1.2× 220 0.6× 366 1.0× 75 2.3k
Eleonora Marsich Italy 31 1.1k 1.2× 1.2k 1.4× 265 0.6× 512 1.3× 376 1.0× 100 3.3k
Rongkang Huang China 17 519 0.6× 566 0.7× 429 1.0× 174 0.4× 357 1.0× 44 1.6k
P.T. Sudheesh Kumar India 17 1.9k 2.2× 958 1.2× 1.1k 2.5× 416 1.1× 364 1.0× 20 3.0k
Bitao Lu China 25 1.1k 1.2× 540 0.7× 835 1.9× 330 0.9× 396 1.1× 43 2.1k

Countries citing papers authored by Feng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Feng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Cheng. A scholar is included among the top collaborators of Feng Cheng 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 Feng Cheng. Feng Cheng 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.
2.
Yao, Chia-Yu, Yu Zhao, Youting Wu, et al.. (2025). Single‐Doped W 18 O 49‐x @Au‐Embedded Dual‐Network Silk Fibroin Hydrogel for NIR‐Responsive Phototherapeutic Wound Healing. Advanced Healthcare Materials. 15(7). e03108–e03108.
3.
Cheng, Feng, Chia-Yu Yao, Xiaotong Yi, et al.. (2025). Multifunctional bacterial cellulose-based hydrogel with tannic acid (TA)-modified MXene for antibacterial photothermal therapy and accelerated wound healing. International Journal of Biological Macromolecules. 322(Pt 3). 146565–146565. 1 indexed citations
4.
Yi, Xiaotong, Jinmei He, Xinjing Wei, et al.. (2023). A polyphenol and ε-polylysine functionalized bacterial cellulose/PVA multifunctional hydrogel for wound healing. International Journal of Biological Macromolecules. 247. 125663–125663. 38 indexed citations
5.
Li, Hongbin, Zixuan Wang, Heshan Zheng, et al.. (2022). Digital light processing (DLP)‐based (bio)printing strategies for tissue modeling and regeneration. SHILAP Revista de lepidopterología. 4(2). 76 indexed citations
6.
Cheng, Feng, Lei Xu, Qingzhu Yang, et al.. (2022). The fabrication of conductive material-decorated hydrogels for tissue repair. Molecular Systems Design & Engineering. 8(2). 167–180. 1 indexed citations
7.
8.
Li, Wanlu, Mian Wang, Luis Santiago Mille, et al.. (2021). A Smartphone‐Enabled Portable Digital Light Processing 3D Printer. Advanced Materials. 33(35). e2102153–e2102153. 76 indexed citations
9.
Wei, Xinjing, Feng Cheng, Xiaotong Yi, et al.. (2021). Facile synthesis of a carbon dots and silver nanoparticles (CDs/AgNPs) composite for antibacterial application. RSC Advances. 11(30). 18417–18422. 57 indexed citations
10.
Cao, Xia, Feng Cheng, Sushila Maharjan, et al.. (2019). A Tumor‐on‐a‐Chip System with Bioprinted Blood and Lymphatic Vessel Pair. Advanced Functional Materials. 29(31). 168 indexed citations
11.
Cheng, Feng, Xia Cao, Hongbin Li, et al.. (2019). Generation of Cost-Effective Paper-Based Tissue Models through Matrix-Assisted Sacrificial 3D Printing. Nano Letters. 19(6). 3603–3611. 59 indexed citations
12.
Wei, Xinjing, Li Li, Jinlong Liu, et al.. (2019). Green Synthesis of Fluorescent Carbon Dots from Gynostemma for Bioimaging and Antioxidant in Zebrafish. ACS Applied Materials & Interfaces. 11(10). 9832–9840. 210 indexed citations
13.
Yan, Tingsheng, Jinju Cheng, Zongjun Liu, et al.. (2018). Acid-sensitive polymeric vector targeting to hepatocarcinoma cells via glycyrrhetinic acid receptor-mediated endocytosis. Materials Science and Engineering C. 87. 32–40. 31 indexed citations
14.
Cheng, Feng, Yadong Wu, Hongbin Li, et al.. (2018). Biodegradable N, O-carboxymethyl chitosan/oxidized regenerated cellulose composite gauze as a barrier for preventing postoperative adhesion. Carbohydrate Polymers. 207. 180–190. 80 indexed citations
15.
Cheng, Feng, Changyu Liu, Xinjing Wei, et al.. (2017). Preparation and Characterization of 2,2,6,6-Tetramethylpiperidine-1-oxyl (TEMPO)-Oxidized Cellulose Nanocrystal/Alginate Biodegradable Composite Dressing for Hemostasis Applications. ACS Sustainable Chemistry & Engineering. 5(5). 3819–3828. 170 indexed citations
16.
Yan, Dong, Shihao Hu, Zhongzheng Zhou, et al.. (2017). Different chemical groups modification on the surface of chitosan nonwoven dressing and the hemostatic properties. International Journal of Biological Macromolecules. 107(Pt A). 463–469. 34 indexed citations
17.
Yan, Tingsheng, Jinju Cheng, Zongjun Liu, et al.. (2017). pH-Sensitive mesoporous silica nanoparticles for chemo-photodynamic combination therapy. Colloids and Surfaces B Biointerfaces. 161. 442–448. 39 indexed citations
18.
Cheng, Feng, Changyu Liu, Hongbin Li, et al.. (2017). Carbon nanotube-modified oxidized regenerated cellulose gauzes for hemostatic applications. Carbohydrate Polymers. 183. 246–253. 38 indexed citations
19.
Yan, Tingsheng, Feng Cheng, Xinjing Wei, Yudong Huang, & Jinmei He. (2017). Biodegradable collagen sponge reinforced with chitosan/calcium pyrophosphate nanoflowers for rapid hemostasis. Carbohydrate Polymers. 170. 271–280. 106 indexed citations
20.
Cheng, Feng. (2011). Application of anatomical liver resection in patients with hepatolithiasis. 1 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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