Feifei Yan

54 papers receiving 1.9k citations

Feifei Yan's Hit Papers

A Review on Functionally Graded Materials and Structures via Additive Manufacturing: From Multi‐Scale Design to Versatile Functional Properties 2020 · 455 citations
4550+2+4Years since publication100200300400

Peers

Feifei Yan
Comparison fields: 5 of 120
  • Internal Medicine 91
  • Biomedical Engineering 442
  • Biomaterials 137
  • Automotive Engineering 103
  • Infectious Diseases 174
Replace Feilong Wang with:
Feilong Wang China
Victor M. Goldberg United States
Peng Xu China
Guochun Chen China
Shin‐Yoon Kim South Korea
Karl M. Hawkins United Kingdom
Atsushi Sakamoto United States
Natalia García‐Giralt Spain
Chen Wang China
Feifei Yan relative to Feilong Wang China Feilong Wang's profile →
Citations per field
00.5×5×10×15×20.6×
Feilong Wang · 1×
Citations per year

Countries citing papers authored by Feifei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feifei Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feifei Yan Line = papers co-authored together Feifei Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review on Functionally Graded Materials and Structures via Additive Manufacturing: From Multi‐Scale Design to Versatile Functional Properties
Hit paper breakdown →
2020455
2 2012221
3 2020175
4 202181
5 202072
6 202165
7 202164
8 202057
9 200754
10 201952
11 201952
12 201843
13 202442
14 202041
15 202435
16 201933
17 202333
18 202333
19 202231
20 202427

About Feifei Yan

Feifei Yan is a scholar working on Biomedical Engineering, Hematology, Rheumatology, Rehabilitation and Molecular Biology, having authored 58 papers that have together received 2k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (14 papers), Bone Tumor Diagnosis and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers), Scoliosis diagnosis and treatment (2 papers), Wound Healing and Treatments (2 papers), Cancer, Lipids, and Metabolism (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Internal Medicine (91 citations), Biomedical Engineering (442 citations), Biomaterials (137 citations), Automotive Engineering (103 citations) and Infectious Diseases (174 citations). Feifei Yan has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Lin Cai, Yuanlong Xie, Lingfei Xiao, Chenxing Xin, Yan Li, Lijing Huang, Kirsten Raun, Mads Tang‐Christensen, Cecilia Nilsson and Marianne O. Larsen. Their work appears in journals such as Materials & Design, Frontiers in Bioengineering and Biotechnology, International Journal of Nanomedicine, ACS Biomaterials Science & Engineering and International Journal of Biological Macromolecules.

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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