Yan Yan

2.9k citations
150 papers · 2.1k · 1 hit paper · h-index 23

Impact in

Papers in

Yan Yan

142 papers receiving 2.0k citations

Yan Yan's Hit Papers

Blockchain-based data management for digital twin of product 2020 · 219 citations
2190+2+4Years since publication50100150200

Peers

Yan Yan
Comparison fields: 5 of 124
  • Industrial and Manufacturing Engineering 1.1k
  • Management of Technology and Innovation 348
  • Management Science and Operations Research 257
  • Management Information Systems 131
  • Safety, Risk, Reliability and Quality 99
Replace Xinyu Li with:
Xinyu Li China
Chris M. Snider United Kingdom
Walter Terkaj Italy
Stephen C.-Y. Lu United States
Chris A. McMahon United Kingdom
Li Pheng Khoo Singapore
Jie Hu China
K. Alexopoulos Greece
Zuhua Jiang China
Xifan Yao China
Yan Yan relative to Xinyu Li China Xinyu Li's profile →
Citations per field
00.5×2×2.6×
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 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Blockchain-based data management for digital twin of product
Hit paper breakdown →
2020219
2 2021139
3 2021100
4 202294
5 202072
6 202268
7 201664
8 202263
9 202463
10 202042
11 202442
12 202240
13 202137
14 201833
15 202332
16 201532
17 201731
18 201631
19 201830
20 202029

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 Management Science and Operations Research, having authored 150 papers that have together received 2.1k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (65 papers), Product Development and Customization (41 papers), Design Education and Practice (25 papers), Flexible and Reconfigurable Manufacturing Systems (21 papers), Digital Transformation in Industry (18 papers), Advanced Manufacturing and Logistics Optimization (13 papers), Scheduling and Optimization Algorithms (11 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.1k citations), Management of Technology and Innovation (348 citations), Management Science and Operations Research (257 citations), Management Information Systems (131 citations) and Safety, Risk, Reliability and Quality (99 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, Yu Qiang Lin, Jiali Xu, Lixiang Zhang, Janet K. Allen, Farrokh Mistree and Chen Yang. Their work appears in journals such as Advanced Engineering Informatics, Journal of Engineering Design, International Journal of Production Research, Journal of Intelligent Manufacturing and IEEE Access.

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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