Yan Yan

2.6k citations
140 papers · 1.7k · h-index 22

Impact in

Papers in

Yan Yan

128 papers receiving 1.7k citations

Peers

Yan Yan
Comparison fields: 5 of 121
  • Industrial and Manufacturing Engineering 934
  • Management of Technology and Innovation 290
  • Management Science and Operations Research 223
  • Management Information Systems 110
  • Safety, Risk, Reliability and Quality 85
Replace Xinyu Li with:
Xinyu Li China
Botond Kádár Hungary
Chris McMahon United Kingdom
Stephen C.-Y. Lu United States
Zuhua Jiang China
Jie Hu China
Shunsheng Guo China
Zuoxu Wang China
Reiner Anderl Germany
Young B. Moon United States
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Citations per field
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Xinyu Li · 1×
Citations per year

Countries citing papers authored by Yan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020184
2 2021123
3 202185
4 202283
5 202063
6 202249
7 201649
8 202246
9 202037
10 202436
11 201531
12 202330
13 202429
14 202229
15 202129
16 201828
17 201727
18 201625
19 201824
20 202123

About Yan Yan

Yan Yan is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation, Mechanical Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 140 papers that have together received 1.7k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (55 papers), Product Development and Customization (35 papers), Design Education and Practice (23 papers), Flexible and Reconfigurable Manufacturing Systems (18 papers), Digital Transformation in Industry (15 papers), Advanced Manufacturing and Logistics Optimization (13 papers), Scheduling and Optimization Algorithms (11 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (934 citations), Management of Technology and Innovation (290 citations), Management Science and Operations Research (223 citations), Management Information Systems (110 citations) and Safety, Risk, Reliability and Quality (85 citations). Yan Yan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Guoxin Wang, Sihan Huang, Yaoguang Hu, Weibo Ren, Jiali Xu, Yu Lin, Janet K. Allen, Farrokh Mistree, Jia Hao and Feng Ma. Their work appears in journals such as Advanced Engineering Informatics, Journal of Engineering Design, International Journal of Production Research, Journal of Intelligent Manufacturing and The International Journal of Advanced Manufacturing Technology.

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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