Ping Lou
Impact in
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- Digital Transformation in Industry
- Scheduling and Optimization Algorithms
- Engineering Technology and Methodologies
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- Collaboration in agile enterprises
Papers in
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- Digital Transformation in Industry 21
- Scheduling and Optimization Algorithms 8
- Engineering Technology and Methodologies 5
- Vehicle Routing Optimization Methods 4
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- Collaboration in agile enterprises 9
- Co-authors
- Zude Zhou (25 shared papers)Junwei Yan (32 shared papers)Jianmin Hu (11 shared papers)Yilin Fang (5 shared papers)Huaiqing Wang (10 shared papers)Jiwei Hu (36 shared papers)Quan Liu (13 shared papers)Quan Liu (8 shared papers)
- Journals
- IEEE Access (7 papers)Sensors (5 papers)The International Journal of Advanced Manufacturing Technology (3 papers)Journal of Manufacturing Systems (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Ping Lou
105 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 72
- Industrial and Manufacturing Engineering 649
- Management of Technology and Innovation 61
- Management Information Systems 59
- Control and Systems Engineering 120
- Mechanical Engineering 166
Countries citing papers authored by Ping Lou
This map shows the geographic impact of Ping Lou'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 Ping Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Lou more than expected).
Fields of papers citing papers by Ping Lou
This network shows the impact of papers produced by Ping Lou. 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 Ping Lou. The network helps show where Ping Lou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Lou, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 234 | |
| 2 | 2004 | 79 | |
| 3 | 2011 | 74 | |
| 4 | 2011 | 65 | |
| 5 | 2020 | 64 | |
| 6 | 2021 | 57 | |
| 7 | 2022 | 36 | |
| 8 | 2020 | 35 | |
| 9 | 2010 | 31 | |
| 10 | 2018 | 29 | |
| 11 | 2024 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 24 | |
| 15 | 2009 | 23 | |
| 16 | 2020 | 23 | |
| 17 | 2022 | 22 | |
| 18 | 2023 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2011 | 18 |
About Ping Lou
Ping Lou is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation, Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Transformation in Industry (21 papers), Advanced Measurement and Metrology Techniques (12 papers), Collaboration in agile enterprises (9 papers), Scheduling and Optimization Algorithms (8 papers), Advanced Neural Network Applications (6 papers), Engineering Technology and Methodologies (5 papers), Vehicle Routing Optimization Methods (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (649 citations), Management of Technology and Innovation (61 citations), Management Information Systems (59 citations), Control and Systems Engineering (120 citations) and Mechanical Engineering (166 citations). Ping Lou has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Zude Zhou, Junwei Yan, Jianmin Hu, Yilin Fang, Huaiqing Wang, Jiwei Hu, Quan Liu, Quan Liu, Youping Chen and Wu Ai. Their work appears in journals such as IEEE Access, Sensors, The International Journal of Advanced Manufacturing Technology, Journal of Manufacturing Systems and IEEE Transactions on Neural Networks and Learning Systems.
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.