Cong Guan
Impact in
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- Hybrid Renewable Energy Systems
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
Papers in
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- Machine Fault Diagnosis Techniques 9
- Fault Detection and Control Systems 8
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- Maritime Transport Emissions and Efficiency 12
- Co-authors
- Hui Chen (16 shared papers)Zehui Zhang (6 shared papers)Kean Wang (11 shared papers)Ruihan Wang (8 shared papers)Wenfeng Gong (3 shared papers)Γεράσιμος Θεοτοκάτος (4 shared papers)Haibo Gao (1 shared paper)Chun Yang (5 shared papers)
- Journals
- Energy (3 papers)Separation and Purification Technology (2 papers)Journal of Chemical & Engineering Data (2 papers)Ocean Engineering (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Cong Guan
35 papers receiving 1.6k citations
Cong Guan's Hit Papers
Peers
Comparison fields: 5 of 99
- Energy Engineering and Power Technology 127
- Automotive Engineering 290
- Environmental Engineering 267
- Fluid Flow and Transfer Processes 109
- Control and Systems Engineering 355
Countries citing papers authored by Cong Guan
This map shows the geographic impact of Cong Guan'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 Cong Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Guan more than expected).
Fields of papers citing papers by Cong Guan
This network shows the impact of papers produced by Cong Guan. 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 Cong Guan. The network helps show where Cong Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Guan, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 200 | |
| 2 | A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion Hit paper breakdown → | 2019 | 193 |
| 3 | 2020 | 160 | |
| 4 | 2010 | 102 | |
| 5 | 2020 | 93 | |
| 6 | 2021 | 82 | |
| 7 | 2014 | 73 | |
| 8 | 2008 | 68 | |
| 9 | 2021 | 51 | |
| 10 | 2011 | 50 | |
| 11 | 2015 | 44 | |
| 12 | 2020 | 43 | |
| 13 | 2008 | 41 | |
| 14 | 2011 | 39 | |
| 15 | 2021 | 38 | |
| 16 | 2009 | 37 | |
| 17 | 2010 | 36 | |
| 18 | 2017 | 34 | |
| 19 | 2010 | 31 | |
| 20 | 2023 | 27 |
About Cong Guan
Cong Guan is a scholar working on Control and Systems Engineering, Environmental Engineering, Materials Chemistry, Automotive Engineering and Electrical and Electronic Engineering, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Maritime Transport Emissions and Efficiency (12 papers), Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (8 papers), Hydrogen Storage and Materials (6 papers), Engineering Diagnostics and Reliability (5 papers), Advanced Battery Technologies Research (5 papers), Advancements in Battery Materials (4 papers) and Advanced Combustion Engine Technologies (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (127 citations), Automotive Engineering (290 citations), Environmental Engineering (267 citations), Fluid Flow and Transfer Processes (109 citations) and Control and Systems Engineering (355 citations). Cong Guan has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Hui Chen, Zehui Zhang, Kean Wang, Ruihan Wang, Wenfeng Gong, Γεράσιμος Θεοτοκάτος, Haibo Gao, Chun Yang, Chang Ming Li and Qin Wang. Their work appears in journals such as Energy, Separation and Purification Technology, Journal of Chemical & Engineering Data, Ocean Engineering and IEEE Access.
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.