Bingxin Gu

954 total citations
47 papers, 673 citations indexed

About

Bingxin Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Cancer Research. According to data from OpenAlex, Bingxin Gu has authored 47 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Bingxin Gu's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Nanoplatforms for cancer theranostics (10 papers) and Medical Imaging Techniques and Applications (9 papers). Bingxin Gu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Nanoplatforms for cancer theranostics (10 papers) and Medical Imaging Techniques and Applications (9 papers). Bingxin Gu collaborates with scholars based in China, Australia and France. Bingxin Gu's co-authors include Shaoli Song, Ping Zhang, Xianghua Wu, Xiaoping Xu, Zhongyi Yang, Silong Hu, Mingyuan Meng, Dagan Feng, Lei Bi and Wei Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Nanoscale.

In The Last Decade

Bingxin Gu

44 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingxin Gu China 14 273 173 157 132 116 47 673
Xuejun Wen China 14 335 1.2× 148 0.9× 261 1.7× 95 0.7× 88 0.8× 29 672
Fuqiang Shao China 16 249 0.9× 112 0.6× 105 0.7× 99 0.8× 188 1.6× 76 806
Kezheng Wang China 13 141 0.5× 122 0.7× 161 1.0× 113 0.9× 67 0.6× 39 554
Hendrica A.J.M. Prevoo Netherlands 15 244 0.9× 276 1.6× 101 0.6× 84 0.6× 89 0.8× 18 657
Chunjuan Jiang China 14 189 0.7× 251 1.5× 123 0.8× 44 0.3× 58 0.5× 28 587
Jan Sven David Mieog Netherlands 5 312 1.1× 323 1.9× 102 0.6× 66 0.5× 206 1.8× 6 826
Xiaofeng Li China 19 181 0.7× 262 1.5× 208 1.3× 115 0.9× 45 0.4× 51 890
Dennis Doleschel Germany 11 169 0.6× 257 1.5× 101 0.6× 49 0.4× 67 0.6× 17 678
Mary‐Keara Boss United States 11 161 0.6× 126 0.7× 98 0.6× 64 0.5× 77 0.7× 41 616
Maureen Aliru United States 10 125 0.5× 192 1.1× 117 0.7× 128 1.0× 43 0.4× 20 693

Countries citing papers authored by Bingxin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Bingxin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingxin Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Bingxin Gu. A scholar is included among the top collaborators of Bingxin 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 Bingxin Gu. Bingxin 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
2.
Liu, Fei, Wen Chen, Jianping Zhang, et al.. (2025). 2.5D Deep Learning and Machine Learning for Discriminative DLBCL and IDC with Radiomics on PET/CT. Bioengineering. 12(8). 873–873.
3.
Sun, Yuyun, et al.. (2024). Evaluation of 68Ga-FAPI PET/CT and 18F-FDG PET/CT for the diagnosis of recurrent colorectal cancers. Clinical and Translational Radiation Oncology. 49. 100848–100848. 2 indexed citations
4.
Gu, Bingxin, Ziyi Yang, Xinyue Du, et al.. (2024). Imaging of Tumor Stroma Using68Ga-FAPI PET/CT to Improve Diagnostic Accuracy of Primary Tumors in Head and Neck Cancer of Unknown Primary: A Comparative Imaging Trial. Journal of Nuclear Medicine. 65(3). 365–371. 15 indexed citations
5.
Jiang, Chun, Yuan Yang, Bingxin Gu, et al.. (2023). Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with 18F-FDG PET/CT radiomics analysis. Clinical Radiology. 78(9). 687–696. 4 indexed citations
6.
Gu, Bingxin, Mingyuan Meng, Mingzhen Xu, et al.. (2023). Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 50(13). 3996–4009. 13 indexed citations
7.
Meng, Mingyuan, Bingxin Gu, Lei Bi, et al.. (2022). DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. IEEE Journal of Biomedical and Health Informatics. 26(9). 4497–4507. 30 indexed citations
8.
Chen, Shixiong, Ji Zhang, Fengfeng Xue, et al.. (2022). In situ forming oxygen/ROS-responsive niche-like hydrogel enabling gelation-triggered chemotherapy and inhibition of metastasis. Bioactive Materials. 21. 86–96. 31 indexed citations
9.
Gu, Bingxin, Xin Liu, Shuoer Wang, et al.. (2022). Head-to-head evaluation of [18F]FDG and [68 Ga]Ga-DOTA-FAPI-04 PET/CT in recurrent soft tissue sarcoma. European Journal of Nuclear Medicine and Molecular Imaging. 49(8). 2889–2901. 40 indexed citations
10.
Liu, Fei, Bingxin Gu, Nan Li, et al.. (2022). Prognostic Value of Heterogeneity Index Derived from Baseline 18F-FDG PET/CT in Mantle Cell Lymphoma. Frontiers in Oncology. 12. 862473–862473. 5 indexed citations
11.
Gu, Bingxin, Jiyi Hu, Lin Kong, et al.. (2021). Pretreatment 18F-FDG uptake heterogeneity can predict treatment outcome of carbon ion radiotherapy in patients with locally recurrent nasopharyngeal carcinoma. Annals of Nuclear Medicine. 35(7). 834–842. 9 indexed citations
12.
Gu, Bingxin, Xiaoping Xu, Ji Zhang, et al.. (2021). The Added Value of68Ga-FAPI PET/CT in Patients with Head and Neck Cancer of Unknown Primary with18F-FDG–Negative Findings. Journal of Nuclear Medicine. 63(6). 875–881. 43 indexed citations
13.
Zhang, Le, Chunjuan Jiang, Bing Li, et al.. (2021). A core-shell Au@Cu2-xSe heterogeneous metal nanocomposite for photoacoustic and computed tomography dual-imaging-guided photothermal boosted chemodynamic therapy. Journal of Nanobiotechnology. 19(1). 410–410. 33 indexed citations
14.
Gu, Bingxin, Lingfang Xia, Huijuan Ge, & Shuai Liu. (2020). Preoperative PET/CT score can predict complete resection in advanced epithelial ovarian cancer: a prospective study. Quantitative Imaging in Medicine and Surgery. 10(3). 743–753. 14 indexed citations
16.
Tian, Qiwei, Yu Cai, Nan Li, et al.. (2020). Ellagic acid–Fe nanoscale coordination polymer with higher longitudinal relaxivity for dual-modality T1-weighted magnetic resonance and photoacoustic tumor imaging. Nanomedicine Nanotechnology Biology and Medicine. 28. 102219–102219. 11 indexed citations
18.
Cai, Cheng, Huiping Zhang, Yefei Zhu, et al.. (2019). Serum Exosomal Long Noncoding RNA pcsk2-2:1 As A Potential Novel Diagnostic Biomarker For Gastric Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Liu, Shuai, Bingxin Gu, Jianping Zhang, et al.. (2018). The feasibility of 18F-FES and 18F-FDG microPET/CT for early monitoring the effect of fulvestrant on sensitizing docetaxel by downregulating ERα in ERα+ breast cancer. Annals of Nuclear Medicine. 32(4). 272–280. 2 indexed citations
20.
Gu, Bingxin, Zhijian Yang, Shaomin Huang, et al.. (2014). Radiation-induced Brachial Plexus Injury After Radiotherapy for Nasopharyngeal Carcinoma. Japanese Journal of Clinical Oncology. 44(8). 736–742. 12 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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