Jun Wang

16.4k total citations · 3 hit papers
670 papers, 13.2k citations indexed

About

Jun Wang is a scholar working on Mechanical Engineering, Biomedical Engineering and Ecological Modeling. According to data from OpenAlex, Jun Wang has authored 670 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 310 papers in Mechanical Engineering, 242 papers in Biomedical Engineering and 144 papers in Ecological Modeling. Recurrent topics in Jun Wang's work include Advanced Surface Polishing Techniques (201 papers), Erosion and Abrasive Machining (135 papers) and Advanced machining processes and optimization (133 papers). Jun Wang is often cited by papers focused on Advanced Surface Polishing Techniques (201 papers), Erosion and Abrasive Machining (135 papers) and Advanced machining processes and optimization (133 papers). Jun Wang collaborates with scholars based in China, Australia and United States. Jun Wang's co-authors include Chuanzhen Huang, Hongtao Zhu, Bin Zou, Hanlian Liu, Huaizhong Li, Thai Nguyen, Changhe Li, Min Yang, Peng Yao and Dongzhou Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied Physics Letters.

In The Last Decade

Jun Wang

612 papers receiving 12.7k citations

Hit Papers

Maximum undeformed equivalent chip thickness for ductile-... 2017 2026 2020 2023 2017 2017 2019 100 200 300

Peers

Jun Wang
Comparison fields: 5 of 187
  • Mechanical Engineering 6.4k
  • Biomedical Engineering 4.9k
  • Materials Chemistry 2.8k
  • Ecological Modeling 2.7k
  • Electrical and Electronic Engineering 2.2k
Replace R.J.K. Wood with:
R.J.K. Wood United Kingdom
Jian Lü China
Lin Ye China
Alexander M. Korsunsky United Kingdom
Min Yang China
Bekir Sami Yilbaş Saudi Arabia
Qingyuan Wang China
Yanbin Zhang China
Aibing Yu Australia
Lin Liu China
R.J.K. Wood United Kingdom View profile →
Citations per field, relative to Jun Wang
Jun Wang · 1×
Citations per year, relative to Jun Wang
Jun Wang · 1×

Countries citing papers authored by Jun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wang. A scholar is included among the top collaborators of Jun Wang 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 Jun Wang. Jun Wang 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
# Work Indexed citations
1 1
2 4
3 4
4 1
5 3
6 2
7 10
8 1
9 22
10 2
11 14
12 13
13
Nano-Hydroxyapatite Coating Promotes Porous Calcium Phosphate Ceramic-Induced Osteogenesis Via BMP/Smad Signaling Pathway
3
14 21
15
Effective tool wear compensation in micro-EDM milling of 3D cavities
2
16 11
17 62
18 5
19 1
20 2

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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