Jun Lin

72 papers receiving 1.6k citations

Peers

Jun Lin
Comparison fields: 5 of 123
  • Management of Technology and Innovation 288
  • Strategy and Management 449
  • Industrial and Manufacturing Engineering 286
  • Management Information Systems 195
  • Marketing 162
Replace Davide Calandra with:
Davide Calandra Italy
Xiao‐Guang Yue China
Alessandro Margherita Italy
Gopalakrishnan Narayanamurthy United Kingdom
Jim Lee United States
Christos Tsinopoulos United Kingdom
Martin K. Starr United States
Ferran Giones Germany
Simon P. Philbin United Kingdom
Pável Albores United Kingdom
Jun Lin relative to Davide Calandra Italy Davide Calandra's profile →
Citations per field
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Davide Calandra · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020142
2 2019112
3 2010109
4 201691
5 201888
6 200777
7 202058
8 201350
9 201847
10 201143
11 200940
12 201334
13 201734
14 200833
15 200229
16 200229
17 202329
18 201126
19 201024
20 202223

About Jun Lin

Jun Lin is a scholar working on Strategy and Management, Management of Technology and Innovation, Industrial and Manufacturing Engineering, Management Science and Operations Research and Mechanical Engineering, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Product Development and Customization (13 papers), Design Education and Practice (10 papers), Innovation Diffusion and Forecasting (10 papers), Innovation and Knowledge Management (8 papers), Digital Platforms and Economics (8 papers), Consumer Market Behavior and Pricing (7 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Management of Technology and Innovation (288 citations), Strategy and Management (449 citations), Industrial and Manufacturing Engineering (286 citations), Management Information Systems (195 citations) and Marketing (162 citations). Jun Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yanjun Qian, Wentian Cui, X. Steven, Kah‐Hin Chai, Aarnout Brombacher, Xiaoyang Zhou, Muhammad Akram Naseem, Ramiz Ur Rehman, Muhammad Ishfaq Ahmad and Rizwan Ali. Their work appears in journals such as IEEE Transactions on Engineering Management, European Journal of Operational Research, International Journal of Production Economics, International Journal of Production Research and Complexity.

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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