Maolin Yang

681 citations
41 papers · 504 · h-index 13

Impact in

Papers in

Maolin Yang

35 papers receiving 499 citations

Peers

Maolin Yang
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 103
  • Automotive Engineering 72
  • Industrial and Manufacturing Engineering 44
  • Computer Science Applications 22
  • Management of Technology and Innovation 27
Replace P. Haufe with:
P. Haufe Germany
Eloísa Torres-Jiménez Spain
Nai Yeen Gavin Lai China
Divya Tiwari United Kingdom
Deepu Philip India
Zhicheng Huang China
Miriam Heller United States
Wei Ding China
Yaxuan Liu China
Steffen Heyer Germany
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Countries citing papers authored by Maolin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Maolin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022102
2 201953
3 201939
4 202126
5 202120
6 201920
7 202318
8 202417
9 202317
10 202216
11 202315
12 202114
13 202212
14 202212
15 202112
16 201312
17 202411
18 20239
19 20199
20 20209

About Maolin Yang

Maolin Yang is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Materials Chemistry, Computer Science Applications and Electrical and Electronic Engineering, having authored 41 papers that have together received 504 indexed citations. Recurring topics across this work include Digital Transformation in Industry (6 papers), Manufacturing Process and Optimization (5 papers), Advancements in Battery Materials (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Open Source Software Innovations (4 papers), Design Education and Practice (3 papers) and Advanced oxidation water treatment (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (103 citations), Automotive Engineering (72 citations), Industrial and Manufacturing Engineering (44 citations), Computer Science Applications (22 citations) and Management of Technology and Innovation (27 citations). Maolin Yang has collaborated with scholars based in China, United Kingdom and Vietnam. Frequent co-authors include Pingyu Jiang, Peitao Zhao, Qingjie Guo, Xin Cui, Jing Zhang, Hongjing Tian, Chuanjin Lin, Zheng Wang, Qiang An and Wenguang Zhao. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Robotics and Computer-Integrated Manufacturing, Computers & Industrial Engineering, Thermochimica Acta and Environmental Science and Pollution Research.

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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