Fengjun Shi

822 citations
28 papers · 715 · h-index 12

Impact in

Papers in

Fengjun Shi

28 papers receiving 701 citations

Peers

Fengjun Shi
Comparison fields: 5 of 88
  • Renewable Energy, Sustainability and the Environment 384
  • Materials Chemistry 392
  • Electrical and Electronic Engineering 311
  • Polymers and Plastics 72
  • Electronic, Optical and Magnetic Materials 76
Replace Qingnan Meng with:
Qingnan Meng China
D. A. Kozlov Russia
Salih Veziroğlu Germany
Mochamad Zainuri Indonesia
Mustafa Erol Türkiye
Cordelia Sealy United Kingdom
Yuxin Luo China
Weiting Zhan China
Fengjun Shi relative to Qingnan Meng China Qingnan Meng's profile →
Citations per field
00.5×7.5×
Qingnan Meng · 1×
Citations per year

Countries citing papers authored by Fengjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008401
2 202037
3 200736
4 201831
5 201430
6 200727
7 202325
8 200818
9 201918
10 200814
11 201714
12 200712
13 20219
14 20097
15
Modelling the Tensile Properties of Modal/Polyurethane Core-spun Stretch Yarn
20125
16 20065
17 20225
18 20245
19 20163
20
Modeling Stretching-Relaxation Properties of Yarns
20132

About Fengjun Shi

Fengjun Shi is a scholar working on Polymers and Plastics, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Mechanics of Materials, having authored 28 papers that have together received 715 indexed citations. Recurring topics across this work include Textile materials and evaluations (7 papers), Nanoplatforms for cancer theranostics (3 papers), Fiber-reinforced polymer composites (3 papers), Mechanical Behavior of Composites (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Layered Double Hydroxides Synthesis and Applications (2 papers), Machine Fault Diagnosis Techniques (2 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (384 citations), Materials Chemistry (392 citations), Electrical and Electronic Engineering (311 citations), Polymers and Plastics (72 citations) and Electronic, Optical and Magnetic Materials (76 citations). Fengjun Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jing Lin, Chengcun Tang, Xiaoxia Ding, Zhixin Huang, Jianming Gao, Jun Zhang, Dongfeng Chen, Ling Quan, Lianghua Xu and Aijun Gao. Their work appears in journals such as Polymers, Fibres and Textiles in Eastern Europe, Materials Chemistry and Physics, Materials Research Bulletin and Journal of the Textile Institute.

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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