Luoting Zhuang

612 total citations · 1 hit paper
5 papers, 336 citations indexed

About

Luoting Zhuang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Luoting Zhuang has authored 5 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Luoting Zhuang's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Luoting Zhuang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Luoting Zhuang collaborates with scholars based in United States. Luoting Zhuang's co-authors include Muhammad Shaban, Faisal Mahmood, Bowen Chen, Anurag Vaidya, Tiffany Chen, Chengkuan Chen, Jana Lipková, Ming Y. Lu, Richard J. Chen and Drew F. K. Williamson and has published in prestigious journals such as Cancer Cell, IEEE Reviews in Biomedical Engineering and PubMed.

In The Last Decade

Luoting Zhuang

3 papers receiving 332 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence for multimodal data integration in oncology

2022 333 citations Jana Lipková, Richard J. Chen et al. Cancer Cell profile →

Peers

Luoting Zhuang

RNMI

AI

HI

MB

CR

Peter Truszkowski United States

Marko van Treeck Germany

Ivy Liang United States

Manuela Vecsler United States

Deepa Sheth United States

Charles Maussion France

Adrian Levine Canada

Christina Glasner Germany

Aurélie Fernandez Germany

Ann-Christin Woerl Germany

Peter Truszkowski United States

Luoting Zhuang

187 ×1.1

RNMI

211 ×1.3

AI

66 ×1.0

HI

45 ×0.8

MB

41 ×0.8

CR

Citations per year, relative to Luoting Zhuang Luoting Zhuang (= 1×) peers Peter Truszkowski

Countries citing papers authored by Luoting Zhuang

Since Specialization

Citations

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

Fields of papers citing papers by Luoting Zhuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luoting Zhuang

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

All Works

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5 of 5 papers shown

1.

Zhuang, Luoting, et al.. (2025). Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data. IEEE Reviews in Biomedical Engineering. 19. 182–200.

2.

Zhuang, Luoting, et al.. (2024). Exploring the Impact of Acquisition and Reconstruction Parameters on an Imaging-Based Lung Cancer Risk Model. PubMed. 2024. 1–5.

3.

Zhuang, Luoting, et al.. (2023). Patient-level thyroid cancer classification using attention multiple instance learning on fused multi-scale ultrasound image features.. PubMed. 2023. 1344–1353. 1 indexed citations

4.

Lipková, Jana, Richard J. Chen, Bowen Chen, et al.. (2022). Artificial intelligence for multimodal data integration in oncology. Cancer Cell. 40(10). 1095–1110. 333 indexed citations breakdown →

5.

Zhuang, Luoting, Jana Lipková, Richard J. Chen, & Faisal Mahmood. (2022). Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients. 59–59. 2 indexed citations

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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