Yuhua Gu

3.3k total citations · 1 hit paper
20 papers, 2.5k citations indexed

About

Yuhua Gu is a scholar working on Artificial Intelligence, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuhua Gu has authored 20 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuhua Gu's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Data Management and Algorithms (4 papers). Yuhua Gu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Data Management and Algorithms (4 papers). Yuhua Gu collaborates with scholars based in United States, China and Netherlands. Yuhua Gu's 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 and has published in prestigious journals such as PLoS ONE, Life Sciences and Pattern Recognition.

In The Last Decade

Yuhua Gu

19 papers receiving 2.4k citations

Hit Papers

Radiomics: the process and the challenges 2012 2026 2016 2021 2012 500 1000 1.5k
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.

  1. Radiomics: the process and the challenges
    2012 1.7k citations Virendra Kumar, Yuhua Gu et al. Magnetic Resonance Imaging profile →

Peers

Yuhua Gu
Fanny Orlhac France
Farzad Khalvati Canada
Dennis Mackin United States
Thibaud Coroller United States
Xenia Fave United States
Martin Vallières Canada
Sylvain Reuzé France
Shaofeng Duan China
Florent Tixier France
Mengjie Fang China
Fanny Orlhac France
Yuhua Gu
Citations per year, relative to Yuhua Gu Yuhua Gu (= 1×) peers Fanny Orlhac

Countries citing papers authored by Yuhua Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Gu, Yuhua, et al.. (2025). HDTCNet: A hybrid-dimensional convolutional network for multivariate time series classification. Pattern Recognition. 168. 111837–111837. 2 indexed citations
2.
Zhang, Jianglin, Fan Yang, Xiao Wei Sun, et al.. (2025). 2-Hydroxychalcone is a gonococcal-specific antimicrobial with activity against elongation factor Tu and butanediol dehydrogenase. Life Sciences. 381. 123994–123994.
3.
Gu, Yuhua, et al.. (2023). Bacitracin enhances ceftriaxone susceptibility of the high-level ceftriaxone-resistant gonococcal FC428 clone. Microbiology Spectrum. 11(6). e0244923–e0244923. 2 indexed citations
4.
Yang, Fan, Jin Liu, Yuhua Gu, et al.. (2022). Antimicrobial Activity of Auranofin, Cannabidivarin, and Tolfenamic Acid against Multidrug-Resistant Neisseria gonorrhoeae. Microbiology Spectrum. 10(6). e0395222–e0395222. 7 indexed citations
5.
Grove, Olya, Anders Berglund, Matthew B. Schabath, et al.. (2021). Correction: Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma. PLoS ONE. 16(3). e0248541–e0248541. 8 indexed citations
6.
Wang, Chao, Zhenhong Du, Yuhua Gu, Feng Zhang, & Renyi Liu. (2020). STME: An effective method for discovering spatiotemporal multi‐type clusters containing events with different densities. Transactions in GIS. 24(6). 1559–1577. 3 indexed citations
7.
Siegel, Erin M., Yuhua Gu, Yoganand Balagurunathan, et al.. (2019). Semiautomated Measure of Abdominal Adiposity Using Computed Tomography Scan Analysis. Journal of Surgical Research. 237. 12–21. 1 indexed citations
8.
Gu, Yuhua, et al.. (2017). A parallel varied density-based clustering algorithm with optimized data partition. Journal of Spatial Science. 63(1). 93–114. 6 indexed citations
9.
Du, Zhenhong, Yuhua Gu, Chuanrong Zhang, et al.. (2017). DBSTC: an effective method for discovering cluster features with different spatiotemporal densities. International Journal of Digital Earth. 1–26. 6 indexed citations
10.
Du, Zhenhong, Yuhua Gu, Chuanrong Zhang, et al.. (2016). ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery. International Journal of Digital Earth. 10(5). 471–489. 9 indexed citations
11.
Grove, Olya, Anders Berglund, Matthew B. Schabath, et al.. (2015). Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma. PLoS ONE. 10(3). e0118261–e0118261. 199 indexed citations
12.
Balagurunathan, Yoganand, Virendra Kumar, Yuhua Gu, et al.. (2014). Test–Retest Reproducibility Analysis of Lung CT Image Features. Journal of Digital Imaging. 27(6). 805–823. 205 indexed citations
13.
Balagurunathan, Yoganand, Yuhua Gu, Hua Wang, et al.. (2014). Reproducibility and Prognosis of Quantitative Features Extracted from CT Images. Translational Oncology. 7(1). 72–87. 240 indexed citations
14.
15.
Kumar, Virendra, Yuhua Gu, Anders Berglund, et al.. (2012). Radiomics: the process and the challenges. Magnetic Resonance Imaging. 30(9). 1234–1248. 1657 indexed citations breakdown →
16.
Hall, Lawrence, Dmitry B. Goldgof, Yuhua Gu, et al.. (2011). Developing a classifier model for lung tumors in CT-scan images. 1306–1312. 40 indexed citations
17.
Gu, Yuhua, Lawrence Hall, & Dmitry B. Goldgof. (2010). Evaluating scalable fuzzy clustering. 873–880. 3 indexed citations
18.
Gu, Yuhua & Lawrence Hall. (2006). Kernel Based Fuzzy Ant Clustering with Partition Validity. 61–65. 17 indexed citations
19.
Gu, Yuhua. (1992). HMM-based noisy-speech pitch contour estimation. 2. 21–24 vol.2. 2 indexed citations
20.
Gu, Yuhua, et al.. (1991). Co-channel speech separation using frequency bin non-linear adaptive filtering. 2. 949–952 vol.2. 10 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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