Yan Jin

275 papers receiving 3.8k citations

Peers

Yan Jin
Comparison fields: 5 of 168
  • Management of Technology and Innovation 839
  • Industrial and Manufacturing Engineering 637
  • Management Information Systems 466
  • Management Science and Operations Research 487
  • Software 148
Replace Yoram Reich with:
Yoram Reich Israel
Ram D. Sriram United States
Udo Lindemann Germany
Mary Lou Maher United States
Ben Hicks United Kingdom
Luciënne Blessing Singapore
Albert Albers Germany
Chun‐Hsien Chen Singapore
Ashutosh Tiwari United Kingdom
Chris McMahon United Kingdom
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Citations per year

Countries citing papers authored by Yan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 306 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009282
2 1996228
3 2006206
4 1999197
5 2004126
6 2006117
7 2005117
8 199898
9
The “virtual design team”: simulating how organization structure and information processing tools affect team performance
199493
10 200673
11 200272
12 202368
13 200564
14 200559
15 201057
16 202257
17 200655
18 200653
19 201446
20 201846

About Yan Jin

Yan Jin is a scholar working on Mechanical Engineering, Artificial Intelligence, Management of Technology and Innovation, Industrial and Manufacturing Engineering and Management Information Systems, having authored 306 papers that have together received 4.1k indexed citations. Recurring topics across this work include Design Education and Practice (48 papers), Product Development and Customization (38 papers), Business Process Modeling and Analysis (31 papers), Manufacturing Process and Optimization (31 papers), Modular Robots and Swarm Intelligence (24 papers), Distributed Control Multi-Agent Systems (15 papers), Advanced Software Engineering Methodologies (14 papers) and Service-Oriented Architecture and Web Services (13 papers). The work is most often cited by research in Management of Technology and Innovation (839 citations), Industrial and Manufacturing Engineering (637 citations), Management Information Systems (466 citations), Management Science and Operations Research (487 citations) and Software (148 citations). Yan Jin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Raymond E. Levitt, Jun Han, Antony Tang, John Kunz, Tore Christiansen, Ali A. Minai, Marios M. Polycarpou, Clifford Nass, F. Kimura and Diederick Lutters. Their work appears in journals such as Artificial intelligence for engineering design analysis and manufacturing, Journal of Mechanical Design, Advanced Engineering Informatics, CIRP Annals and Concurrent Engineering.

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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