Yuhua Gu
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Oncology top 10%
- Co-authors
- Robert J. GilliesRobert A. GatenbyLawrence HallYoganand BalagurunathanDmitry B. GoldgofVirendra KumarSteven A. EschrichAndré Dekker
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)AI in cancer detection (4 papers)Data Management and Algorithms (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Yuhua Gu
19 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 2.2k
- Pulmonary and Respiratory Medicine 875
- Biomedical Engineering 671
- Artificial Intelligence 489
- Oncology 403
Countries citing papers authored by Yuhua Gu
This map shows the geographic impact of Yuhua Gu'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 Yuhua Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhua Gu more than expected).
Fields of papers citing papers by Yuhua Gu
This network shows the impact of papers produced by Yuhua Gu. 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 Yuhua Gu. The network helps show where Yuhua Gu may publish in the future.
Co-authorship network of co-authors of Yuhua Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Gu. A scholar is included among the top collaborators of Yuhua Gu 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 Yuhua Gu. Yuhua Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 199 | |
| 12 | 205 | |
| 13 | 240 | |
| 14 | 33 | |
| 15 | Radiomics: the process and the challengesbreakdown → | 1657 |
| 16 | 40 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 2 | |
| 20 | 10 |
About Yuhua Gu
Yuhua Gu is a scholar working on Signal Processing, Microbiology and Artificial Intelligence, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Health Informatics (75 citations) and Pulmonary and Respiratory Medicine (875 citations). Yuhua Gu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Robert J. Gillies, Robert A. Gatenby, Lawrence Hall, Yoganand Balagurunathan, Dmitry B. Goldgof, Virendra Kumar, Steven A. Eschrich, André Dekker, Hugo J.W.L. Aerts and Matthew B. Schabath. Their work appears in journals such as PLoS ONE, Life Sciences and Pattern Recognition.
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.