Shenghan Guo

973 total citations
42 papers, 596 citations indexed

About

Shenghan Guo is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Shenghan Guo has authored 42 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 14 papers in Industrial and Manufacturing Engineering and 12 papers in Automotive Engineering. Recurrent topics in Shenghan Guo's work include Additive Manufacturing Materials and Processes (15 papers), Industrial Vision Systems and Defect Detection (11 papers) and Additive Manufacturing and 3D Printing Technologies (11 papers). Shenghan Guo is often cited by papers focused on Additive Manufacturing Materials and Processes (15 papers), Industrial Vision Systems and Defect Detection (11 papers) and Additive Manufacturing and 3D Printing Technologies (11 papers). Shenghan Guo collaborates with scholars based in United States, China and Netherlands. Shenghan Guo's co-authors include Weihong Guo, Qi Tian, Y. B. Guo, Linkan Bian, Clayton Cooper, Robert X. Gao, Dali Wang, Zhili Feng, Michael J. Duryee and Jian Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Energy storage materials.

In The Last Decade

Shenghan Guo

39 papers receiving 575 citations

Peers

Countries citing papers authored by Shenghan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Shenghan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenghan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Shenghan Guo. A scholar is included among the top collaborators of Shenghan Guo 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 Shenghan Guo. Shenghan Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration 2025 ·IEEE Transactions on Automation Science and Engineering ·(unknown), Hao Yan, Shenghan Guo, Raed Al Kontar	0
2	CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring 2025 ·Sensors ·(unknown), (unknown), Heejin Jeong, Shenghan Guo	3
3	Machine learning–enabled direct ink writing of conductive polymer composites for enhanced performance in thermal management and current protection 2024 ·Energy storage materials ·(unknown), (unknown), (unknown), Dharneedar Ravichandran, Yuxiang Zhu, (unknown), (unknown), (unknown), (unknown), Shenghan Guo, A.M. Kannan, Kenan Song	10
4	A spatial-temporal method for early prediction of fatigue crack region and orientation in metallic cellular materials using in-situ infrared thermography (IRT) 2024 ·SHILAP Revista de lepidopterología ·Tyler C. Smith, (unknown), (unknown), Shenghan Guo, Dhruv Bhate	2
5	Personalized feature extraction for manufacturing process signature characterization and anomaly detection 2024 ·Journal of Manufacturing Systems ·(unknown), Shenghan Guo, Raed Al Kontar	4
6	A Physical Comprehensive Model for Studying Temperature Evolution in FDM 3D Printing 2024 ·(unknown), Matthias Albert, (unknown), Shenghan Guo, Qiong Nian	0
7	MPS-GAN: A multi-conditional generative adversarial network for simulating input parameters' impact on manufacturing processes 2024 ·Journal of Manufacturing Processes ·(unknown), Shenghan Guo	5
8	Analyzing Worker Videos for Quantifying Motion Amounts Through Computer Vision 2024 ·Proceedings of the Human Factors and Ergonomics Society Annual Meeting ·Hari Iyer, (unknown), Shenghan Guo, Heejin Jeong	3
9	Real-time defect detection using online learning for laser metal deposition 2023 ·Journal of Manufacturing Processes ·(unknown), Shenghan Guo, (unknown), Linkan Bian	13
10	Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction 2023 ·Sensors ·Shenghan Guo, Dali Wang, Zhili Feng, Jian Chen, Weihong Guo	1
11	Knowledge-transfer-enabled porosity prediction for new part geometry in laser metal deposition 2023 ·Journal of Manufacturing Processes ·Shenghan Guo, (unknown), Linkan Bian	4
12	Thermal-porosity characterization data of additively manufactured Ti–6Al–4V thin-walled structure via laser engineered net shaping 2023 ·Data in Brief ·(unknown), Wenmeng Tian, Shenghan Guo, Linkan Bian	3
13	Applications and prospects of machine learning for aerosol jet printing: A review 2023 ·IISE Transactions ·Shenghan Guo, Hyunwoong Ko, Andi Wang	2
14	Process Signature Characterization and Anomaly Detection With Personalized PCA in Laser-Based Metal Additive Manufacturing 2023 ·(unknown), Raed Al Kontar, Shenghan Guo	1
15	SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis 2022 ·Bioengineering & Translational Medicine ·Xi Huang, Bo Liu, Shenghan Guo, Weihong Guo, Ke Liao, Guoku Hu, Wen Shi, Mitchell Kuss, Michael J. Duryee, Daniel R. Anderson, Yongfeng Lu, Bin Duan	23
16	A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition 2022 ·IEEE Transactions on Automation Science and Engineering ·Shenghan Guo, Weihong Guo, Linkan Bian, Y. B. Guo	22
17	Learning the Temporal Effect in Infrared Thermal Videos With Long Short-Term Memory for Quality Prediction in Resistance Spot Welding 2022 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Shenghan Guo, Dali Wang, (unknown), Zhili Feng, Weihong Guo	3
18	Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network 2021 ·Shenghan Guo, Dali Wang, Jian Chen, Zhili Feng, Weihong Guo	1
19	Process Monitoring and Fault Prediction in Multivariate Time Series Using Bag-of-Words 2020 ·IEEE Transactions on Automation Science and Engineering ·Shenghan Guo, Weihong Guo	14
20	Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser-Based Additive Manufacturing 2020 ·Qi Tian, Shenghan Guo, Weihong Guo, Linkan Bian	1

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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