Junwen Lu
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
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- Cloud Computing and Resource Management 4
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- IoT and Edge/Fog Computing 6
- Co-authors
- Yumin Chen (2 shared papers)Zhiqiang Zeng (1 shared paper)Nan Qin (1 shared paper)Ying Ma (1 shared paper)Shengnan Shen (4 shared papers)Hui Li (4 shared papers)Guanfeng Liu (10 shared papers)Yongqiang Yang (2 shared papers)
In The Last Decade
Junwen Lu
33 papers receiving 357 citations
Peers
Comparison fields: 5 of 63
- Automotive Engineering 70
- Information Systems 117
- Mechanical Engineering 171
- Computer Science Applications 18
- Industrial and Manufacturing Engineering 30
Countries citing papers authored by Junwen Lu
This map shows the geographic impact of Junwen Lu'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 Junwen Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwen Lu more than expected).
Fields of papers citing papers by Junwen Lu
This network shows the impact of papers produced by Junwen Lu. 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 Junwen Lu. The network helps show where Junwen Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwen Lu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2021 | 50 | |
| 3 | 2016 | 44 | |
| 4 | 2022 | 42 | |
| 5 | 2020 | 39 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2016 | 4 |
About Junwen Lu
Junwen Lu is a scholar working on Information Systems, Computer Networks and Communications, Mechanical Engineering, Artificial Intelligence and Mechanics of Materials, having authored 38 papers that have together received 375 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (8 papers), IoT and Edge/Fog Computing (6 papers), Advanced Graph Neural Networks (6 papers), Welding Techniques and Residual Stresses (5 papers), Cloud Computing and Resource Management (4 papers), Cavitation Phenomena in Pumps (4 papers), High Entropy Alloys Studies (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Automotive Engineering (70 citations), Information Systems (117 citations), Mechanical Engineering (171 citations), Computer Science Applications (18 citations) and Industrial and Manufacturing Engineering (30 citations). Junwen Lu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yumin Chen, Zhiqiang Zeng, Nan Qin, Ying Ma, Shengnan Shen, Hui Li, Guanfeng Liu, Yongqiang Yang, Linjie Zhao and Jian Cheng. Their work appears in journals such as Electronics, Optics & Laser Technology, Journal of Cloud Computing Advances Systems and Applications, Complexity and Future Internet.
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.