Y. H. Guan

1.2k total citations
3 papers, 5 citations indexed

About

Y. H. Guan is a scholar working on Pharmacology, Pulmonary and Respiratory Medicine and Speech and Hearing. According to data from OpenAlex, Y. H. Guan has authored 3 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pharmacology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Speech and Hearing. Recurrent topics in Y. H. Guan's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Advancements in Photolithography Techniques (1 paper) and Noise Effects and Management (1 paper). Y. H. Guan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Advancements in Photolithography Techniques (1 paper) and Noise Effects and Management (1 paper). Y. H. Guan collaborates with scholars based in China and United States. Y. H. Guan's co-authors include Shouliang Qi, Yang Zhang, Yudong Yao, Wei Qian, Vladimir A. Ukraintsev, Wenxiang Fan and Jingxu Li and has published in prestigious journals such as BMC Musculoskeletal Disorders, Frontiers in Medicine and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Y. H. Guan

3 papers receiving 5 citations

Peers

Countries citing papers authored by Y. H. Guan

Since Specialization

Citations

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

Fields of papers citing papers by Y. H. Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. H. 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 Y. H. Guan. The network helps show where Y. H. Guan may publish in the future.

Co-authorship network of co-authors of Y. H. Guan

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

All Works

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3 of 3 papers shown

#	Work	Indexed citations
1	MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images 2025 ·Frontiers in Medicine ·(unknown), (unknown), (unknown), Jingxu Li, (unknown), Yudong Yao, Wei Qian, Y. H. Guan, Shouliang Qi	1
2	Impact of whole-body vibration training on ankle joint proprioception and balance in stroke patients: a prospective cohort study 2024 ·BMC Musculoskeletal Disorders ·(unknown), (unknown), Wenxiang Fan, Yang Zhang, Y. H. Guan, (unknown), (unknown), (unknown)	3
3	SI-traceable calibration of line-width roughness of 25nm NanoCD standard 2010 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Vladimir A. Ukraintsev, (unknown), Y. H. Guan, (unknown)	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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