Can Yang
Impact in
-
- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Management Information Systems top 10%
Papers in
-
- Advanced Manufacturing and Logistics Optimization 2
- Digital Transformation in Industry 2
- Co-authors
- Zhaoxia Guo (2 shared papers)Xuedong Liang (1 shared paper)Eric W.T. Ngai (1 shared paper)Xiao‐Heng Chang (1 shared paper)Xiong Jun (1 shared paper)Xiaosong Zhang (1 shared paper)Yonggao Yin (1 shared paper)Ying Jun Fan (3 shared papers)
In The Last Decade
Can Yang
9 papers receiving 341 citations
Peers
Comparison fields: 5 of 53
- Industrial and Manufacturing Engineering 124
- Management Information Systems 47
- Control and Systems Engineering 116
- Computer Networks and Communications 68
- Media Technology 21
Countries citing papers authored by Can Yang
This map shows the geographic impact of Can Yang'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 Can Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Yang more than expected).
Fields of papers citing papers by Can Yang
This network shows the impact of papers produced by Can Yang. 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 Can Yang. The network helps show where Can Yang may publish in the future.
Co-authors
The 23 scholars most cited alongside Can Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 171 | |
| 2 | 2018 | 103 | |
| 3 | 2014 | 38 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 2024 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2025 | 0 | |
| 12 | Application of fuzzy methodology for KPIs implementation in manufacturing execution system | 2019 | 0 |
About Can Yang
Can Yang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Mechanical Engineering, Electronic, Optical and Magnetic Materials and Energy Engineering and Power Technology, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (2 papers), Digital Transformation in Industry (2 papers), Power Quality and Harmonics (1 paper), Neural Networks Stability and Synchronization (1 paper), Crystal structures of chemical compounds (1 paper), Cavitation Phenomena in Pumps (1 paper), Diamond and Carbon-based Materials Research (1 paper) and Tribology and Wear Analysis (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (124 citations), Management Information Systems (47 citations), Control and Systems Engineering (116 citations), Computer Networks and Communications (68 citations) and Media Technology (21 citations). Can Yang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Zhaoxia Guo, Xuedong Liang, Eric W.T. Ngai, Xiao‐Heng Chang, Xiong Jun, Xiaosong Zhang, Yonggao Yin, Ying Jun Fan, Qiushi Zhang and Junlei Chen. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Journal of Emerging and Selected Topics in Power Electronics, Journal of Intelligent & Fuzzy Systems, Applied Energy and IEEE Transactions on Systems Man and Cybernetics 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.