Haojun Yu

1.9k total citations · 1 hit paper
68 papers, 1.2k citations indexed

About

Haojun Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haojun Yu has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haojun Yu's work include Medical Imaging Techniques and Applications (44 papers), Radiomics and Machine Learning in Medical Imaging (27 papers) and Advanced X-ray and CT Imaging (19 papers). Haojun Yu is often cited by papers focused on Medical Imaging Techniques and Applications (44 papers), Radiomics and Machine Learning in Medical Imaging (27 papers) and Advanced X-ray and CT Imaging (19 papers). Haojun Yu collaborates with scholars based in China, United States and South Sudan. Haojun Yu's co-authors include Pengcheng Hu, Hui Tan, Yiqiu Zhang, Hongcheng Shi, Hongcheng Shi, Guobing Liu, Shuguang Chen, Wujian Mao, Yushen Gu and Hongyan Yin and has published in prestigious journals such as American Journal of Roentgenology, Medicine and Journal of Nuclear Medicine.

In The Last Decade

Haojun Yu

65 papers receiving 1.1k citations

Hit Papers

align trajectories

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haojun Yu China	19	837	285	211	163	152	68	1.2k
Tyler Bradshaw United States	19	1.1k 1.3×	372 1.3×	276 1.3×	179 1.1×	67 0.4×	63	1.4k
Pieter Slagmolen Belgium	17	501 0.6×	138 0.5×	304 1.4×	207 1.3×	90 0.6×	36	970
Jifke F. Veenland Netherlands	22	733 0.9×	342 1.2×	418 2.0×	99 0.6×	153 1.0×	51	1.4k
Ida Häggström United States	9	1.2k 1.4×	353 1.2×	320 1.5×	93 0.6×	157 1.0×	20	1.4k
Thomas Wendler Germany	20	373 0.4×	401 1.4×	148 0.7×	181 1.1×	337 2.2×	75	1.1k
Steve Bandula United Kingdom	14	788 0.9×	351 1.2×	265 1.3×	96 0.6×	134 0.9×	34	1.4k
Ingerid Reinertsen Norway	21	613 0.7×	323 1.1×	137 0.6×	59 0.4×	160 1.1×	56	1.2k
Alessandro Stefano Italy	25	880 1.1×	298 1.0×	431 2.0×	81 0.5×	103 0.7×	82	1.3k
Marco Nolden Germany	13	571 0.7×	317 1.1×	182 0.9×	87 0.5×	236 1.6×	30	1.1k
Daisuke Kawahara Japan	15	479 0.6×	193 0.7×	302 1.4×	290 1.8×	133 0.9×	115	806

Countries citing papers authored by Haojun Yu

Since Specialization

Citations

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

Fields of papers citing papers by Haojun Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haojun Yu

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

All Works

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20 of 20 papers shown

1.

Li, Chenguang, Mingyou Zhang, Jinying Zhou, et al.. (2025). The performance of angiography-derived index of microcirculatory resistance for ischemia in angina with non-obstructive coronary artery disease: Validated by wire-based IMR and SPECT-MPI. International Journal of Cardiology. 431. 133236–133236.

2.

Chen, Shuguang, et al.. (2024). Total-body dynamic PET/CT imaging reveals kinetic distribution of [13N]NH3 in normal organs. European Journal of Nuclear Medicine and Molecular Imaging. 51(13). 3888–3899. 1 indexed citations

3.

Sui, Xiuli, Haojun Yu, Siyang Wang, et al.. (2024). Phantom study and clinical application of total-body 18F-FDG PET/CT imaging: How to use small voxel imaging better?. EJNMMI Physics. 11(1). 17–17. 3 indexed citations

4.

Lv, Jing, Haojun Yu, Hongyan Yin, Yimeng Shi, & Hongcheng Shi. (2023). A single-center, multi-factor, retrospective study to improve the diagnostic accuracy of primary prostate cancer using [68Ga]Ga-PSMA-11 total-body PET/CT imaging. European Journal of Nuclear Medicine and Molecular Imaging. 51(3). 919–927. 5 indexed citations

5.

Wu, Bing, et al.. (2023). An exploration of the feasibility and clinical value of half-dose 5-h total-body 18F-FDG PET/CT scan in patients with Takayasu arteritis. European Journal of Nuclear Medicine and Molecular Imaging. 50(8). 2375–2385. 5 indexed citations

6.

Hu, Yan, et al.. (2023). Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in 18F-FDG total-body PET/CT examination: a preliminary study. EJNMMI Physics. 10(1). 1–1. 12 indexed citations

7.

Liu, Guobing, Wujian Mao, Haojun Yu, et al.. (2023). One-stop [18F]FDG and [68Ga]Ga-DOTA-FAPI-04 total-body PET/CT examination with dual-low activity: a feasibility study. European Journal of Nuclear Medicine and Molecular Imaging. 50(8). 2271–2281. 22 indexed citations

8.

Dai, Neng, Bu‐Chun Zhang, Haojun Yu, et al.. (2023). Quantitative flow ratio derived pullback pressure gradient and CZT-SPECT measured longitudinal flow gradient for hemodynamically significant coronary artery disease. Journal of Nuclear Cardiology. 30(5). 1992–2002. 2 indexed citations

9.

Lv, Jing, Hongyan Yin, Haojun Yu, & Hongcheng Shi. (2023). The added value of 18F-FDG PET/MRI multimodal imaging in hepatocellular carcinoma for identifying cytokeratin 19 status. Abdominal Radiology. 48(7). 2331–2339. 2 indexed citations

10.

Zheng, Zhe, Haojun Yu, Wujian Mao, et al.. (2023). The earliest optimal timing for total-body 68Ga-fibroblast activation protein inhibitor-04 PET scans: an evidence-based single-centre study. European Radiology. 34(7). 4550–4560. 9 indexed citations

11.

Gu, Yushen, Haojun Yu, Bing Wu, et al.. (2022). Optimizing acquisition times for total-body positron emission tomography/computed tomography with half-dose 18F-fluorodeoxyglucose in oncology patients. EJNMMI Physics. 9(1). 45–45. 14 indexed citations

12.

Wang, Shuo, Haojun Yu, Yiqiu Zhang, et al.. (2022). An artificial intelligence-driven image quality assessment system for whole-body [18F]FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 50(5). 1318–1328. 17 indexed citations

13.

Zhang, He, Haojun Yu, Hui Tan, et al.. (2022). An initial study on the comparison of diagnostic performance of 18F-FDG PET/MR and 18F-FDG PET/CT for thoracic staging of non-small cell lung cancer: Focus on pleural invasion. Revista Española de Medicina Nuclear e Imagen Molecular (English Edition). 42(1). 16–23. 8 indexed citations

14.

Yu, Haojun, Yushen Gu, Wei Fan, et al.. (2022). Expert consensus on oncological [18F]FDG total-body PET/CT imaging (version 1). European Radiology. 33(1). 615–626. 25 indexed citations

15.

Liu, Guobing, Pengcheng Hu, Haojun Yu, et al.. (2021). Ultra-low-activity total-body dynamic PET imaging allows equal performance to full-activity PET imaging for investigating kinetic metrics of 18F-FDG in healthy volunteers. European Journal of Nuclear Medicine and Molecular Imaging. 48(8). 2373–2383. 69 indexed citations

16.

Peng, Jing, et al.. (2021). A PIK3R2 Mutation in Familial Temporal Lobe Epilepsy as a Possible Pathogenic Variant. Frontiers in Genetics. 12. 596709–596709. 10 indexed citations

17.

Yin, Hongyan, Wujian Mao, Hui Tan, et al.. (2021). Role of 18F-FDG PET/CT imaging in cardiac and pericardial masses. Journal of Nuclear Cardiology. 29(3). 1293–1303. 12 indexed citations

18.

Sui, Xiuli, Guobing Liu, Pengcheng Hu, et al.. (2020). Total-Body PET/Computed Tomography Highlights in Clinical Practice. PET Clinics. 16(1). 9–14. 29 indexed citations

19.

Jiang, Lei, et al.. (2015). Role of 18F-FDG PET/CT Imaging in Intrahepatic Cholangiocarcinoma. Clinical Nuclear Medicine. 41(1). 1–7. 55 indexed citations

20.

Zhang, Yiqiu, Hongcheng Shi, Yushen Gu, et al.. (2011). Differential diagnostic value of single-photon emission computed tomography/spiral computed tomography with Tc-99m-methylene diphosphonate in patients with spinal lesions. Nuclear Medicine Communications. 32(12). 1194–1200. 32 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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