Shengnan Tang

101 total papers · 3.9k total citations
88 papers, 3.2k citations indexed

About

Shengnan Tang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Shengnan Tang has authored 88 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 25 papers in Mechanical Engineering and 23 papers in Materials Chemistry. Recurrent topics in Shengnan Tang's work include Machine Fault Diagnosis Techniques (26 papers), Hydraulic and Pneumatic Systems (22 papers) and Oil and Gas Production Techniques (19 papers). Shengnan Tang is often cited by papers focused on Machine Fault Diagnosis Techniques (26 papers), Hydraulic and Pneumatic Systems (22 papers) and Oil and Gas Production Techniques (19 papers). Shengnan Tang collaborates with scholars based in China, Singapore and United States. Shengnan Tang's co-authors include Yong Zhu, Shouqi Yuan, Shifa Wang, Huajing Gao, Guangpeng Li, Hong Su, Leiming Fang, Zao Yi, Xinxin Zhao and Chuan Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Catalysis and International Journal of Hydrogen Energy.

In The Last Decade

Shengnan Tang

83 papers receiving 3.1k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery

2019 225 citations Shengnan Tang, Shouqi Yuan et al. IEEE Access profile →
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump

2021 154 citations Shengnan Tang, Yong Zhu et al. Advanced Engineering Informatics profile →
Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization

2022 127 citations Shengnan Tang, Yong Zhu et al. ISA Transactions profile →
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images

2022 123 citations Shengnan Tang, Yong Zhu et al. Advanced Engineering Informatics profile →
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform

2022 115 citations Shengnan Tang, Yong Zhu et al. Reliability Engineering & System Safety profile →
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery

2024 59 citations Shengnan Tang, Jingtao Ma et al. Engineering Applications of Artificial Intelligence profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shengnan Tang	1.1k	902	719	616	487	88	3.2k
Yudong Cao	1.0k 0.9×	657 0.7×	276 0.4×	319 0.5×	329 0.7×	68	2.7k
Libin Zhang	397 0.3×	595 0.7×	593 0.8×	305 0.5×	193 0.4×	264	3.1k
Ruonan Liu	2.6k 2.3×	1.6k 1.8×	258 0.4×	201 0.3×	1.0k 2.1×	66	4.5k
Jero Ahola	604 0.5×	813 0.9×	337 0.5×	393 0.6×	181 0.4×	184	3.3k
Hua Wei	1.2k 1.0×	893 1.0×	640 0.9×	385 0.6×	172 0.4×	167	3.8k
Xuedong Chen	573 0.5×	876 1.0×	594 0.8×	113 0.2×	210 0.4×	194	3.3k
Afrasyab Khan	181 0.2×	705 0.8×	879 1.2×	505 0.8×	295 0.6×	146	3.7k
Juanjuan Shi	1.9k 1.7×	1.5k 1.6×	221 0.3×	138 0.2×	641 1.3×	124	2.9k
Ke Wang	356 0.3×	905 1.0×	458 0.6×	187 0.3×	227 0.5×	201	3.1k
Junghwan Kim	331 0.3×	1.0k 1.1×	545 0.8×	357 0.6×	83 0.2×	239	3.4k

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

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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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