Junfan Shang

522 citations
10 papers · 424 · h-index 7

Impact in

Papers in

Junfan Shang

10 papers receiving 418 citations

Peers

Junfan Shang
Comparison fields: 5 of 34
  • Automotive Engineering 360
  • Industrial and Manufacturing Engineering 152
  • Building and Construction 179
  • General Materials Science 16
  • Mechanical Engineering 112
Replace Frank van der Klift with:
Frank van der Klift Japan
Astrit Imeri United States
Aslan Nasirov United States
Yiyun Wu China
Yoichiro Koga Japan
Ashish R. Prajapati India
Aleksey Khaziev Russia
L. García-Guzmán Spain
Federico Cecchini Italy
Ф. К. Антонов Russia
Junfan Shang relative to Frank van der Klift Japan Frank van der Klift's profile →
Citations per field
00.5×4.6×
Frank van der Klift · 1×
Citations per year

Countries citing papers authored by Junfan Shang

Since Specialization
Citations

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

Fields of papers citing papers by Junfan Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Junfan Shang, 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 Junfan Shang Line = papers co-authored together Junfan Shang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2019227
2 202086
3 202059
4 202322
5 202411
6 20256
7 20256
8 20225
9 20201
10 20181

About Junfan Shang

Junfan Shang is a scholar working on Automotive Engineering, Biomedical Engineering, Building and Construction, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (9 papers), Innovations in Concrete and Construction Materials (5 papers), Manufacturing Process and Optimization (4 papers), Bone Tissue Engineering Materials (4 papers), Robotic Mechanisms and Dynamics (1 paper), Soft Robotics and Applications (1 paper), Mechanical Engineering and Vibrations Research (1 paper) and Advanced Aircraft Design and Technologies (1 paper). The work is most often cited by research in Automotive Engineering (360 citations), Industrial and Manufacturing Engineering (152 citations), Building and Construction (179 citations), General Materials Science (16 citations) and Mechanical Engineering (112 citations). Junfan Shang has collaborated with scholars based in China. Frequent co-authors include Meng Luo, Xiaoyong Tian, Dichen Li, Weijun Zhu, Zhongde Shan, Xilun Ding, Wuxiang Zhang, Fei Liu, Baoning Chang and Chenkai Zhu. Their work appears in journals such as Composites Part A Applied Science and Manufacturing, Composites Science and Technology, Composites Part B Engineering, Journal of Manufacturing Processes and Aerospace.

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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