Runqiong Wang

463 citations
14 papers · 331 indexed · h-index 9
Topics
Advanced machining processes and optimization (9 papers)Advanced Machining and Optimization Techniques (7 papers)Industrial Vision Systems and Defect Detection (4 papers)
Partner nations
ChinaMexicoNew Zealand

In The Last Decade

Runqiong Wang

14 papers receiving 327 citations

Peers

Runqiong Wang
Comparison fields: 5 of 36
  • Mechanical Engineering 288
  • Industrial and Manufacturing Engineering 105
  • Mechanics of Materials 104
  • Electrical and Electronic Engineering 96
  • Biomedical Engineering 63
Replace Hao Zeng with:
Hao Zeng Singapore
Robert W. Ivester United States
M. Lamraoui France
Jianghai Shi China
Ming‐Chyuan Lu Taiwan
Ichiro MORIWAKI Japan
Lan Hu China
Jinming Wu China
Dong-Cheol Kim South Korea
Runqiong Wang relative to Hao Zeng Singapore Hao Zeng's profile →
Citations per field
00.5×10.7×
Hao Zeng · 1×
Citations per year

Countries citing papers authored by Runqiong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Runqiong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runqiong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Runqiong Wang. A scholar is included among the top collaborators of Runqiong 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 Runqiong Wang. Runqiong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 1
3 7
4 26
5 23
6 42
7 21
8 23
9 7
10 56
11 26
12 10
13 8
14 78

About Runqiong Wang

Runqiong Wang is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Radiological and Ultrasound Technology, having authored 14 papers that have together received 331 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (7 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (105 citations), Mechanical Engineering (288 citations) and Mechanics of Materials (104 citations). Runqiong Wang has collaborated with scholars based in China, Mexico and New Zealand. Frequent co-authors include Zhanqiang Liu, Qinghua Song, Zhaojun Liu, Haifeng Ma, Jing Qin, Munish Kumar Gupta, Pengsheng Xue, Yukui Cai, Hansong Ji and Xun Xu. Their work appears in journals such as Sensors, Mechanical Systems and Signal Processing and Materials & Design.

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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