Jiaming Feng

52 papers receiving 523 citations

Peers

Jiaming Feng
Comparison fields: 5 of 113
  • Orthodontics 83
  • Oral Surgery 64
  • Biomedical Engineering 231
  • Applied Psychology 20
  • Automotive Engineering 32
Replace Chi‐Sheng Chien with:
Chi‐Sheng Chien Taiwan
Ming‐Lun Hsu Taiwan
Silvia Galli Sweden
Robert Moorehead United Kingdom
Chia-Ying Lin United States
Catherine M. Ford United States
Soonho Kwon South Korea
Yingchun Sun China
Ashley A. White United States
Jiaming Feng relative to Chi‐Sheng Chien Taiwan Chi‐Sheng Chien's profile →
Citations per field
00.5×
Chi‐Sheng Chien · 1×
Citations per year

Countries citing papers authored by Jiaming Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiaming Feng, 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 Jiaming Feng Line = papers co-authored together Jiaming Feng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997119
2 201993
3 199634
4 199828
5 202227
6 199723
7 202318
8 202317
9 202216
10 202315
11 202314
12 20239
13 20239
14 20248
15 20228
16 20247
17 20247
18 20247
19 20196
20 20246

About Jiaming Feng

Jiaming Feng is a scholar working on Biomedical Engineering, Mechanical Engineering, Automotive Engineering, Mechanics of Materials and Molecular Biology, having authored 57 papers that have together received 534 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Vehicle Dynamics and Control Systems (5 papers), Dental materials and restorations (5 papers), Acoustic Wave Phenomena Research (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Aerodynamics and Acoustics in Jet Flows (3 papers), Mechanical stress and fatigue analysis (3 papers) and Advanced machining processes and optimization (3 papers). The work is most often cited by research in Orthodontics (83 citations), Oral Surgery (64 citations), Biomedical Engineering (231 citations), Applied Psychology (20 citations) and Automotive Engineering (32 citations). Jiaming Feng has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Yang Cao, Jiyong Chen, Xingdong Zhang, Weidong Tong, Pengcheng Wang, Jia Nie, Zongjian Yang, Qingxuan Liang, Chengdi Wang and Jin He. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Biomedical Materials Research, Non-coding RNA Research, International Journal of Manufacturing Research and Cancer Letters.

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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