Cong Guan

1.9k citations
41 papers · 1.5k indexed · 1 hit paper · h-index 22

Cong Guan

34 papers receiving 1.5k citations

Hit Papers

A Novel Deep Learning Method for Intelligent Fault Diagno...185201920262021202350100150

Peers

Cong Guan
Comparison fields: 5 of 102
  • Energy Engineering and Power Technology 127
  • Automotive Engineering 282
  • Environmental Engineering 257
  • Fluid Flow and Transfer Processes 106
  • Control and Systems Engineering 344
Replace Debangsu Bhattacharyya with:
Debangsu Bhattacharyya United States
Ali Radwan Egypt
Prabhu Paramasivam India
Linda Barelli Italy
Evgueniy Entchev Canada
Min Oh South Korea
Mohamed Salem Malaysia
Takao Kashiwagi Japan
Hongyan Zuo China
Ahmed Kadhim Hussein Iraq
Cong Guan relative to Debangsu Bhattacharyya United States Debangsu Bhattacharyya's profile →
Citations per field
00.5×1.5×2.2×
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-authorship network

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
#Work
1 20251
2 20250
3 20251
4 20250
5 20247
6 202325
7 20232
8 202312
9 202316
10 202321
11 20230
12 20220
13 20222
14 202224
15 20210
16 202137
17 202024
18 201543
19 201031
20 201034

About Cong Guan

Cong Guan is a scholar working on Energy Engineering and Power Technology, Environmental Engineering, Automotive Engineering, Fluid Flow and Transfer Processes and Control and Systems Engineering, having authored 41 papers that have together received 1.5k 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), Advanced Battery Technologies Research (5 papers), Engineering Diagnostics and Reliability (5 papers), Hybrid Renewable Energy Systems (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (127 citations), Automotive Engineering (282 citations), Environmental Engineering (257 citations), Fluid Flow and Transfer Processes (106 citations) and Control and Systems Engineering (344 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 Xiaogang Li. Their work appears in journals such as Energy, Ocean Engineering, IEEE Access, Energies and Separation and Purification Technology.

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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