Hubing Wu

2.0k total citations · 1 hit paper
100 papers, 1.4k citations indexed

About

Hubing Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hubing Wu has authored 100 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Oncology and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hubing Wu's work include Medical Imaging Techniques and Applications (30 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Peptidase Inhibition and Analysis (18 papers). Hubing Wu is often cited by papers focused on Medical Imaging Techniques and Applications (30 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Peptidase Inhibition and Analysis (18 papers). Hubing Wu collaborates with scholars based in China, United States and Canada. Hubing Wu's co-authors include Quanshi Wang, Wenlan Zhou, Yanjiang Han, Hongsheng Li, Shun Huang, Lijuan Wang, Kongzhen Hu, Ying Tian, Qiaoyu Wang and Ganghua Tang and has published in prestigious journals such as PLoS ONE, Biomaterials and Radiology.

In The Last Decade

Hubing Wu

96 papers receiving 1.4k citations

Hit Papers

Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the Evaluat... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hubing Wu China 21 547 493 343 338 272 100 1.4k
Marc Van den Eynde Belgium 21 359 0.7× 972 2.0× 331 1.0× 347 1.0× 201 0.7× 90 1.6k
Maria A. González-Carmona Germany 20 186 0.3× 589 1.2× 214 0.6× 294 0.9× 173 0.6× 79 1.3k
Yoshito Yamashita Japan 21 281 0.5× 409 0.8× 562 1.6× 529 1.6× 103 0.4× 111 1.4k
Giuseppe Roberto D’Agostino Italy 30 396 0.7× 669 1.4× 607 1.8× 1.1k 3.3× 286 1.1× 125 2.4k
Akihiko Osaki Japan 23 325 0.6× 747 1.5× 153 0.4× 283 0.8× 528 1.9× 116 1.7k
Yuji Seo Japan 23 349 0.6× 477 1.0× 237 0.7× 549 1.6× 221 0.8× 107 1.5k
Barbara Corti Italy 22 413 0.8× 268 0.5× 326 1.0× 825 2.4× 130 0.5× 69 1.5k
Fuquan Zhang China 22 297 0.5× 401 0.8× 434 1.3× 317 0.9× 240 0.9× 134 1.6k
Henrik Roed Denmark 22 342 0.6× 755 1.5× 308 0.9× 525 1.6× 119 0.4× 56 1.8k
Xiaomao Guo China 28 412 0.8× 769 1.6× 447 1.3× 731 2.2× 633 2.3× 115 2.2k

Countries citing papers authored by Hubing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hubing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hubing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hubing Wu. A scholar is included among the top collaborators of Hubing Wu 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 Hubing Wu. Hubing Wu 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.
Huang, Shun, Wanying Zhang, Jing Chen, et al.. (2025). PET Imaging of Solid Tumors with a G-Quadruplex-Targeting 18F-Labeled Peptide Probe. Journal of Medicinal Chemistry. 68(3). 2804–2814. 2 indexed citations
3.
Salimi, Yazdan, Wenbing Lv, Hongwen Chen, et al.. (2024). Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET. EJNMMI Physics. 11(1). 66–66.
5.
Zhou, Wenlan, Lu Bai, Jiawen Huang, et al.. (2023). Pharmacokinetic analysis of 6-O-[18F]FEE for PET imaging of EGFR mutation. Bioorganic & Medicinal Chemistry Letters. 85. 129217–129217. 1 indexed citations
6.
Yang, Xiaoqiang, et al.. (2023). A Comparative Study of 18F-FAPI-42 and 18F-FDG PET/CT for Evaluating Acute Kidney Injury in Cancer Patients. Molecular Imaging and Biology. 25(4). 671–680. 7 indexed citations
7.
Zhou, Wenlan, et al.. (2023). Metastatic melanoma extending along the inferior vena cava to its branches and venous plexus: a rare route metastasis characterized by [18F]FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 50(10). 3149–3150.
8.
Wang, Lijuan, Ganghua Tang, Kongzhen Hu, et al.. (2022). Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the Evaluation of Advanced Lung Cancer. Radiology. 303(1). 191–199. 117 indexed citations breakdown →
9.
Lv, Wenbing, et al.. (2022). Deep learning–based harmonization of CT reconstruction kernels towards improved clinical task performance. European Radiology. 33(4). 2426–2438. 6 indexed citations
10.
Wang, Lijuan, Yin Zhang⋆, & Hubing Wu. (2022). A Rare Widespread Cutaneous Langerhans Cell Histiocytosis Manifested on 18F-FDG PET/CT. Clinical Nuclear Medicine. 47(10). e647–e648. 2 indexed citations
11.
Huang, Shun, et al.. (2021). Design, Synthesis, and Activity Study of Cinnamic Acid Derivatives as Potent Antineuroinflammatory Agents. ACS Chemical Neuroscience. 12(3). 419–429. 14 indexed citations
12.
Zhou, Wenlan, Shun Huang, Yan‐Ping Jiang, et al.. (2021). Automatic radiosynthesis and preclinical evaluation of 18F-AlF-PSMA-NF as a potential PET probe for prostate cancer imaging. Amino Acids. 53(6). 929–938. 4 indexed citations
13.
Hu, Kongzhen, Lijuan Wang, Hubing Wu, et al.. (2021). [18F]FAPI-42 PET imaging in cancer patients: optimal acquisition time, biodistribution, and comparison with [68Ga]Ga-FAPI-04. European Journal of Nuclear Medicine and Molecular Imaging. 49(8). 2833–2843. 83 indexed citations
14.
Zhang, Jun, Jiamei Gu, Kongzhen Hu, et al.. (2019). Radiofluorinated GPC3-Binding Peptides for PET Imaging of Hepatocellular Carcinoma. Molecular Imaging and Biology. 22(1). 134–143. 27 indexed citations
15.
Liu, Wenjuan, Quanshi Wang, Hubing Wu, Yanjiang Han, & Wenlan Zhou. (2016). Establishment of a diagnostic model for charactering solitary pulmonary nodule based on 18F-FDG PET/CT and clinical data. 36(3). 211–215. 1 indexed citations
16.
Zhang, Jinliang, Shulan Wang, Fenfen Wang, et al.. (2015). [Study on the effect of the haze episodes on the visits to pediatrics outpatient departments and emergency departments in Beijing].. PubMed. 36(1). 20–6. 1 indexed citations
17.
Zhou, Wenlan, et al.. (2014). Usefulness of 18F-FDG PET/CT in the detection of neurolymphomatosis. Nuclear Medicine Communications. 35(11). 1107–1111. 15 indexed citations
18.
Zhang, Guoyi, Yizhuo Li, Tao Xu, et al.. (2011). The role of PET-CT in diagnosing distant metastasis of nasopharyngeal carcinoma. 23(5). 294–298. 2 indexed citations
19.
Wu, Hubing, et al.. (2005). The imaging manifestation and clinical value of PET/CT in nasopharyngeal carcinoma. 25(6). 347–349. 2 indexed citations
20.
Wang, Quanshi, et al.. (2005). Preliminary clinical application of ~(11)C-MET PET/CT in the brain glioma patients. 25(5). 286–287. 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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