Haoyu Zhong

526 total citations
21 papers, 254 citations indexed

About

Haoyu Zhong is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Radiation. According to data from OpenAlex, Haoyu Zhong has authored 21 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Oncology and 6 papers in Radiation. Recurrent topics in Haoyu Zhong's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced Radiotherapy Techniques (6 papers) and Medical Imaging Techniques and Applications (5 papers). Haoyu Zhong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced Radiotherapy Techniques (6 papers) and Medical Imaging Techniques and Applications (5 papers). Haoyu Zhong collaborates with scholars based in China, United States and Australia. Haoyu Zhong's co-authors include Jiazhou Wang, Lijun Shen, Zhen Zhou, Panpan Hu, Weigang Hu, Ying Xiao, Pamela Boimel, James Janopaul‐Naylor, Edgar Ben‐Josef and H. Geng and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Haoyu Zhong

17 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoyu Zhong China 7 212 73 65 58 49 21 254
Rita Simões Netherlands 10 223 1.1× 60 0.8× 54 0.8× 38 0.7× 52 1.1× 30 309
Yushi Chang United States 12 265 1.3× 87 1.2× 39 0.6× 48 0.8× 108 2.2× 21 316
Haonan Xiao Hong Kong 11 227 1.1× 70 1.0× 19 0.3× 41 0.7× 93 1.9× 23 302
Xudong Xue China 9 155 0.7× 65 0.9× 25 0.4× 54 0.9× 65 1.3× 26 245
Christian Bracco Italy 9 243 1.1× 48 0.7× 76 1.2× 43 0.7× 46 0.9× 26 334
Lars Johannes Isaksson Italy 8 133 0.6× 39 0.5× 20 0.3× 41 0.7× 36 0.7× 10 235
Xinzhi Teng Hong Kong 12 281 1.3× 76 1.0× 30 0.5× 49 0.8× 78 1.6× 41 356
Théo Estienne France 6 205 1.0× 80 1.1× 16 0.2× 40 0.7× 24 0.5× 10 269
Enzo Battistella France 6 208 1.0× 76 1.0× 18 0.3× 41 0.7× 24 0.5× 14 276
D. Schött United States 8 302 1.4× 82 1.1× 164 2.5× 89 1.5× 31 0.6× 16 360

Countries citing papers authored by Haoyu Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Haoyu Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyu Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Haoyu Zhong. A scholar is included among the top collaborators of Haoyu Zhong 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 Haoyu Zhong. Haoyu Zhong 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.
Zhong, Haoyu, Yansong Duan, Pengjie Tao, & Zuxun Zhang. (2025). Influence of ground control point reliability and distribution on UAV photogrammetric 3D mapping accuracy. Geo-spatial Information Science. 28(5). 1998–2018. 2 indexed citations
2.
3.
Zhong, Haoyu, Miao Mo, Yinzhao Wang, et al.. (2025). Neoadjuvant therapy plus thulium laser transurethral bladder tumor resection for muscle-invasive bladder cancer. PubMed. 12(3). e21200053–e21200053.
4.
5.
Yang, Xiao‐Jun, Haoyu Zhong, Zhengdong Wang, et al.. (2023). BEKG: A built environment knowledge graph. Building Research & Information. 52(1-2). 19–37. 2 indexed citations
6.
Geng, H., T Giaddui, Chingyun Cheng, et al.. (2021). A comparison of two methodologies for radiotherapy treatment plan optimization and QA for clinical trials. Journal of Applied Clinical Medical Physics. 22(10). 329–337. 8 indexed citations
7.
Li, Hongming, Pamela Boimel, James Janopaul‐Naylor, et al.. (2019). Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. PubMed. 2019. 846–849. 38 indexed citations
8.
Wang, Jiazhou, Lijun Shen, Haoyu Zhong, et al.. (2019). Radiomics features on radiotherapy treatment planning CT can predict patient survival in locally advanced rectal cancer patients. Scientific Reports. 9(1). 15346–15346. 31 indexed citations
9.
Liu, Hangfan, Hongming Li, Pamela Boimel, et al.. (2019). Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. PubMed. 50. 1303–1306. 8 indexed citations
10.
Men, Kuo, H. Geng, Chingyun Cheng, et al.. (2018). Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades. Medical Physics. 46(1). 286–292. 42 indexed citations
11.
Monroe, James I., Ying Xiao, D Followill, et al.. (2018). NRG Oncology medical physicists’ manpower survey quantifying support demands for multi-institutional clinical trials. Practical Radiation Oncology. 8(5). 324–331. 3 indexed citations
12.
Men, Kuo, Pamela Boimel, James Janopaul‐Naylor, et al.. (2018). Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy. Physics in Medicine and Biology. 63(18). 185016–185016. 49 indexed citations
13.
Geng, H., Haoyu Zhong, T Giaddui, et al.. (2017). Knowledge Engineering–Based Quality Evaluation of RTOG 1308 Proton Treatment plans. International Journal of Radiation Oncology*Biology*Physics. 99(2). E661–E662. 1 indexed citations
14.
Luo, Ruiyan, et al.. (2017). OC-0160: Radiomics Features Harmonization for CT and CBCT in Rectal Cancer. Radiotherapy and Oncology. 123. S81–S82. 4 indexed citations
15.
Zhong, Haoyu, et al.. (2016). MO-DE-207B-09: A Consistent Test for Radiomics Softwares. Medical Physics. 43(6Part30). 3706–3706. 2 indexed citations
16.
Luo, Ruiyan, J. Wang, Haoyu Zhong, et al.. (2016). A Feasibility Study of Using Computed Tomography (CT) and Cone Beam CT Simultaneously for Radiomics Analysis. International Journal of Radiation Oncology*Biology*Physics. 96(2). E656–E656.
17.
Hu, Panpan, Jiazhou Wang, Haoyu Zhong, et al.. (2016). Reproducibility with repeat CT in radiomics study for rectal cancer. Oncotarget. 7(44). 71440–71446. 60 indexed citations
18.
Luo, Ruiyan, et al.. (2016). SU-F-R-33: Can CT and CBCT Be Used Simultaneously for Radiomics Analysis. Medical Physics. 43(6Part6). 3380–3380. 1 indexed citations
19.
Zhong, Haoyu, et al.. (2015). SU-D-BRA-04: Fractal Dimension Analysis of Edge-Detected Rectal Cancer CTs for Outcome Prediction. Medical Physics. 42(6). 3213–3213. 1 indexed citations
20.
Zhong, Haoyu, J. Wang, Wei Hu, et al.. (2015). Edge Detection and Fractal Dimension Analysis of CT Images to Predict Outcome of Rectal Cancer With Neoadjuvant Chemoradiation. International Journal of Radiation Oncology*Biology*Physics. 93(3). S182–S182. 1 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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