Shulin Lan
Impact in
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- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Manufacturing Process and Optimization
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- Big Data and Business Intelligence
Papers in
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- Digital Transformation in Industry 15
- Manufacturing Process and Optimization 6
- Maritime Ports and Logistics 4
- Industrial Vision Systems and Defect Detection 3
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- IoT and Edge/Fog Computing 11
- Co-authors
- Chen Yang (24 shared papers)George Q. Huang (11 shared papers)Ming‐Lang Tseng (12 shared papers)Weiming Shen (11 shared papers)Lihui Wang (12 shared papers)Ray Y. Zhong (3 shared papers)Xu Chen (1 shared paper)Qingyun Dai (1 shared paper)
In The Last Decade
Shulin Lan
47 papers receiving 1.2k citations
Shulin Lan's Hit Papers
Peers
Comparison fields: 5 of 98
- Industrial and Manufacturing Engineering 561
- Management Information Systems 163
- Strategy and Management 252
- Business and International Management 31
- Management of Technology and Innovation 81
Countries citing papers authored by Shulin Lan
This map shows the geographic impact of Shulin Lan'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 Shulin Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shulin Lan more than expected).
Fields of papers citing papers by Shulin Lan
This network shows the impact of papers produced by Shulin Lan. 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 Shulin Lan. The network helps show where Shulin Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shulin Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 174 | |
| 2 | 2020 | 108 | |
| 3 | 2019 | 97 | |
| 4 | 2017 | 96 | |
| 5 | 2020 | 76 | |
| 6 | End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey Hit paper breakdown → | 2024 | 54 |
| 7 | 2017 | 46 | |
| 8 | 2022 | 46 | |
| 9 | 2022 | 44 | |
| 10 | 2020 | 42 | |
| 11 | 2020 | 41 | |
| 12 | 2018 | 40 | |
| 13 | 2020 | 39 | |
| 14 | 2021 | 37 | |
| 15 | 2020 | 30 | |
| 16 | 2018 | 29 | |
| 17 | 2021 | 25 | |
| 18 | 2021 | 18 | |
| 19 | 2023 | 17 | |
| 20 | 2019 | 16 |
About Shulin Lan
Shulin Lan is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Strategy and Management, Information Systems and Building and Construction, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Digital Transformation in Industry (15 papers), IoT and Edge/Fog Computing (11 papers), Sustainable Supply Chain Management (8 papers), Manufacturing Process and Optimization (6 papers), Urban and Freight Transport Logistics (6 papers), Maritime Ports and Logistics (4 papers), Transportation Planning and Optimization (4 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (561 citations), Management Information Systems (163 citations), Strategy and Management (252 citations), Business and International Management (31 citations) and Management of Technology and Innovation (81 citations). Shulin Lan has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Chen Yang, George Q. Huang, Ming‐Lang Tseng, Weiming Shen, Lihui Wang, Ray Y. Zhong, Xu Chen, Qingyun Dai, Chen Yang and Hao Zhang. Their work appears in journals such as Industrial Management & Data Systems, Advanced Engineering Informatics, IEEE Access, International Journal of Production Economics and IEEE Internet of Things Journal.
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.