Shengnan Tang

4.0k citations
89 papers · 3.2k indexed · 6 hit papers · h-index 33
Topics
Machine Fault Diagnosis Techniques (26 papers)Hydraulic and Pneumatic Systems (22 papers)Oil and Gas Production Techniques (19 papers)
Partner nations
ChinaSingaporeMalaysia

In The Last Decade

Shengnan Tang

84 papers receiving 3.2k citations

Hit Papers

Deep Learning-Based Intelligent Fault Diagnosis Methods T...20192026202120232019202120222022202250100150200

Peers

Shengnan Tang
Comparison fields: 5 of 144
  • Control and Systems Engineering 1.2k
  • Mechanical Engineering 917
  • Materials Chemistry 724
  • Renewable Energy, Sustainability and the Environment 621
  • Mechanics of Materials 497
Replace Jinrui Wang with:
Jinrui Wang China
Chun Wang China
Ping Guo China
Kyung Hyun Choi South Korea
Shuhua Wang China
Ting Fu China
Sang Bin Lee South Korea
Yunho Hwang United States
Yudong Cao China
Ying Chen China
Shengnan Tang relative to Jinrui Wang China Jinrui Wang's profile →
Citations per field
00.5×1.5×
Jinrui Wang · 1×
Citations per year

Countries citing papers authored by Shengnan Tang

Since Specialization
Citations

This map shows the geographic impact of Shengnan Tang'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 Shengnan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengnan Tang more than expected).

Fields of papers citing papers by Shengnan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shengnan Tang. 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 Shengnan Tang. The network helps show where Shengnan Tang may publish in the future.

Co-authorship network of co-authors of Shengnan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengnan Tang. A scholar is included among the top collaborators of Shengnan Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengnan Tang. Shengnan Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 0
4 11
5 26
6 6
7 15
8 9
9
Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimizationbreakdown →
132
10 3
11 43
12 1
13 30
14 117
15 6
16 105
17 19
18 18
19 28
20 2

About Shengnan Tang

Shengnan Tang is a scholar working on Control and Systems Engineering, Ocean Engineering and Renewable Energy, Sustainability and the Environment, having authored 89 papers that have together received 3.2k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (26 papers), Hydraulic and Pneumatic Systems (22 papers) and Oil and Gas Production Techniques (19 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Renewable Energy, Sustainability and the Environment (621 citations) and Ocean Engineering (409 citations). Shengnan Tang has collaborated with scholars based in China, Singapore and Malaysia. Frequent co-authors include Yong Zhu, Shouqi Yuan, Shifa Wang, Huajing Gao, Guangpeng Li, Hong Su, Leiming Fang, Zao Yi, Xinxin Zhao and Chuan Yu. Their work appears in journals such as Chemical Communications, ACS Catalysis and International Journal of Hydrogen Energy.

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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