Yu‐Chi Hu

2.1k total citations
70 papers, 1.5k citations indexed

About

Yu‐Chi Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu‐Chi Hu has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 36 papers in Radiation and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu‐Chi Hu's work include Advanced Radiotherapy Techniques (35 papers), Medical Imaging Techniques and Applications (24 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Yu‐Chi Hu is often cited by papers focused on Advanced Radiotherapy Techniques (35 papers), Medical Imaging Techniques and Applications (24 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Yu‐Chi Hu collaborates with scholars based in United States, China and France. Yu‐Chi Hu's co-authors include G Mageras, Kenneth E. Rosenzweig, Joseph O. Deasy, Jue Jiang, Harini Veeraraghavan, Andreas Rimner, Qinghui Zhang, Pengpeng Zhang, Ellen Yorke and Neelam Tyagi and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical Imaging.

In The Last Decade

Yu‐Chi Hu

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yu‐Chi Hu United States	18	1.2k	686	603	275	262	70	1.5k
Mark J. Gooding United Kingdom	21	1.1k 1.0×	781 1.1×	378 0.6×	453 1.6×	197 0.8×	64	1.6k
Jun Zhou United States	22	933 0.8×	820 1.2×	751 1.2×	463 1.7×	204 0.8×	121	1.6k
Neelam Tyagi United States	23	1.2k 1.0×	900 1.3×	551 0.9×	290 1.1×	170 0.6×	82	1.6k
Pengpeng Zhang United States	19	1.1k 0.9×	1.1k 1.7×	788 1.3×	331 1.2×	110 0.4×	83	1.6k
Linghong Zhou China	19	854 0.7×	580 0.8×	307 0.5×	421 1.5×	137 0.5×	71	1.2k
Lei Ren United States	25	1.5k 1.3×	1.1k 1.7×	632 1.0×	659 2.4×	186 0.7×	138	2.1k
Kuo Men China	16	1.1k 0.9×	793 1.2×	379 0.6×	364 1.3×	153 0.6×	85	1.4k
Soumya Ghose United States	15	909 0.8×	192 0.3×	566 0.9×	360 1.3×	336 1.3×	53	1.4k
Sibo Tian United States	23	767 0.7×	462 0.7×	596 1.0×	362 1.3×	363 1.4×	107	1.7k
Carri Glide‐Hurst United States	28	1.9k 1.6×	1.6k 2.4×	911 1.5×	604 2.2×	159 0.6×	115	2.5k

Countries citing papers authored by Yu‐Chi Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Chi Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Chi Hu. 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 Yu‐Chi Hu. The network helps show where Yu‐Chi Hu may publish in the future.

Co-authorship network of co-authors of Yu‐Chi Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Yu‐Chi & Huan Li. (2025). Research Status of Molecular Dynamics Simulation of Metallic Ultrasonic Welding. Micromachines. 16(10). 1185–1185.

Chang, Haijun, et al.. (2025). Mechanism of purslane extract inhibiting oxidation and modifying physicochemical properties of pork myofibrillar proteins under oxidation system. Food Research International. 221(Pt 3). 117437–117437.

Hu, Yu‐Chi, et al.. (2025). Enhancing prediction of primary site recurrence in head and neck cancer using radiomics and uncertainty estimation. Frontiers in Artificial Intelligence. 8. 1623393–1623393.

Zhang, Lei, Yilin Liu, Yu‐Chi Hu, et al.. (2024). Automated planning of stereotactic spine re-irradiation using cumulative dose limits. Physics and Imaging in Radiation Oncology. 29. 100547–100547. 4 indexed citations

Hu, Yu‐Chi, et al.. (2024). 1877: Integrating image registration uncertainty into dose accumulation via principal component analysis. Radiotherapy and Oncology. 194. S4061–S4064. 1 indexed citations

Chang, Haijun, et al.. (2024). Effects of Gnaphalium affine Extract on the Gel Properties of •OH-Induced Oxidation of Myofibrillar Proteins. Foods. 13(10). 1447–1447. 5 indexed citations

Wang, Zihong, Haitao Chen, Wei Zhang, et al.. (2024). Effects of Heat Treatment on the Microstructure and Mechanical Properties of a Dual-Phase High-Entropy Alloy Fabricated via Laser Beam Power Bed Fusion. Micromachines. 15(4). 471–471. 3 indexed citations

Mechalakos, James, Yu‐Chi Hu, Lei Zhang, et al.. (2024). RAdiotherapy Dose Accumulation Routine (RADAR)-A Novel Dose Accumulation Script With Built-In Uncertainty. Practical Radiation Oncology. 15(2). 187–195. 3 indexed citations

Aliotta, Eric, Yu‐Chi Hu, Peng Zhang, et al.. (2023). Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy. Journal of Applied Clinical Medical Physics. 24(7). e13959–e13959. 6 indexed citations

10.

Hu, Yu‐Chi, et al.. (2023). Spatiotemporal Relationships between Ecosystem Health and Urbanization on the Tibetan Plateau from a Coupling Coordination Perspective. Land. 12(8). 1635–1635. 2 indexed citations

11.

Zhang, Pengpeng, Saad Nadeem, Jue Jiang, et al.. (2020). Predictive dose accumulation for HN adaptive radiotherapy. Physics in Medicine and Biology. 65(23). 235011–235011. 7 indexed citations

12.

Apte, Aditya, Aditi Iyer, Maria Thor, et al.. (2020). Library of deep-learning image segmentation and outcomes model-implementations. Physica Medica. 73. 190–196. 17 indexed citations

13.

Zhang, Pengpeng, Andreas Rimner, Yu‐Chi Hu, et al.. (2016). A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning. Physics in Medicine and Biology. 62(3). 702–714. 12 indexed citations

14.

Zhang, Yi, Shoufeng Zhang, Wei Li, et al.. (2016). A novel rabies vaccine based-on toll-like receptor 3 (TLR3) agonist PIKA adjuvant exhibiting excellent safety and efficacy in animal studies. Virology. 489. 165–172. 31 indexed citations

15.

Hu, Yu‐Chi. (2015). Method for hand profile extraction in complicated conditions. Computer Engineering and Applications Journal. 1 indexed citations

16.

Hu, Yu‐Chi. (2014). Water quality prediction of Haihe River using grey-fuzzy-markov chain model. China Environmental Science. 2 indexed citations

17.

Lovelock, D. Michael, Margie Hunt, James Mechalakos, et al.. (2013). Measuring uncertainty in dose delivered to the cochlea due to setup error during external beam treatment of patients with cancer of the head and neck. Medical Physics. 40(12). 121724–121724. 4 indexed citations

18.

Hertanto, Agung, Qinghui Zhang, Yu‐Chi Hu, et al.. (2012). Reduction of irregular breathing artifacts in respiration‐correlated CT images using a respiratory motion model. Medical Physics. 39(6Part1). 3070–3079. 35 indexed citations

19.

Hu, Yu‐Chi, Michael Grossberg, Abraham J. Wu, et al.. (2012). Interactive semiautomatic contour delineation using statistical conditional random fields framework. Medical Physics. 39(7Part2). 4547–4558. 16 indexed citations

20.

Hu, Yu‐Chi, Michael Grossberg, & G Mageras. (2009). Volumetric Medical Image Segmentation with Probabilistic Conditional Random Fields Framework.. IPCV. 4(6). 48–53.

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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