Cong Guan

35 papers receiving 1.6k citations

Cong Guan's Hit Papers

A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion 2019 · 193 citations
1930+2+4Years since publication50100150

Peers

Cong Guan
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
Replace Debangsu Bhattacharyya with:
Debangsu Bhattacharyya United States
Ali Radwan Egypt
Linda Barelli Italy
Mohamed Salem Malaysia
Min Oh South Korea
Evgueniy Entchev Canada
Takao Kashiwagi Japan
Hongyan Zuo China
Prabhu Paramasivam India
Z.A. Zainal Malaysia
Cong Guan relative to Debangsu Bhattacharyya United States Debangsu Bhattacharyya's profile →
Citations per field
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Debangsu Bhattacharyya · 1×
Citations per year

Countries citing papers authored by Cong Guan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cong Guan Line = papers co-authored together Cong Guan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011200
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 →
2019193
3 2020160
4 2010102
5 202093
6 202182
7 201473
8 200868
9 202151
10 201150
11 201544
12 202043
13 200841
14 201139
15 202138
16 200937
17 201036
18 201734
19 201031
20 202327

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.

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