Qingping Yang

75 papers receiving 515 citations

Peers

Qingping Yang
Comparison fields: 5 of 94
  • Statistics, Probability and Uncertainty 36
  • Medical Laboratory Technology 7
  • Electrical and Electronic Engineering 233
  • Industrial and Manufacturing Engineering 39
  • Mechanical Engineering 112
Replace Nalinaksh S. Vyas with:
Nalinaksh S. Vyas India
Bo Ma China
Sílvio Ikuyo Nabeta Brazil
Cuong Duc Dao United Kingdom
Feng Wu China
Allan G. Seabridge United Kingdom
Craig P. Lawson United Kingdom
Ian A. Moir Canada
Jing Cai China
Qingping Yang relative to Nalinaksh S. Vyas India Nalinaksh S. Vyas's profile →
Citations per field
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Nalinaksh S. Vyas · 1×
Citations per year

Countries citing papers authored by Qingping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qingping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200162
2 200259
3 199829
4 199626
5 202024
6 201423
7 201521
8 200417
9 201115
10 201313
11
Application of Lean Six Sigma Principles to Food Distribution SMEs
201412
12 201411
13 202011
14 20149
15 20169
16 20219
17 20159
18 20208
19 20168
20 20167

About Qingping Yang

Qingping Yang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 84 papers that have together received 544 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (16 papers), Surface Roughness and Optical Measurements (8 papers), Optical measurement and interference techniques (6 papers), Advanced Sensor Technologies Research (6 papers), Industrial Vision Systems and Defect Detection (5 papers), Topic Modeling (5 papers), Energy Load and Power Forecasting (5 papers) and Integrated Energy Systems Optimization (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (36 citations), Medical Laboratory Technology (7 citations), Electrical and Electronic Engineering (233 citations), Industrial and Manufacturing Engineering (39 citations) and Mechanical Engineering (112 citations). Qingping Yang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include B.E. Jones, Qijian Tang, Valerie Livina, Xiangjun Wang, Alistair Forbes, Paul Wright, Fengdong Zhao, Jie Tian, Gareth Anthony Taylor and Andrew Benjamin Forbes. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Sensors and Actuators A Physical, Measurement Science and Technology and Materials.

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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