Bingjiang Qiu

882 total citations · 1 hit paper
23 papers, 484 citations indexed

About

Bingjiang Qiu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oral Surgery. According to data from OpenAlex, Bingjiang Qiu has authored 23 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 7 papers in Oral Surgery. Recurrent topics in Bingjiang Qiu's work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (7 papers) and Dental Radiography and Imaging (7 papers). Bingjiang Qiu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (7 papers) and Dental Radiography and Imaging (7 papers). Bingjiang Qiu collaborates with scholars based in China, Netherlands and Australia. Bingjiang Qiu's co-authors include Max J. H. Witjes, Ronald Borra, Joep Kraeima, Jiapan Guo, Peter M. A. van Ooijen, Zaiyi Liu, Haye H. Glas, Chu Han, Xipeng Pan and Zeyan Xu and has published in prestigious journals such as Cancer Research, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Bingjiang Qiu

22 papers receiving 474 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation

2023 103 citations Jianwei Lin, Jiatai Lin et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bingjiang Qiu China	12	194	149	120	114	104	23	484
Liming Zhong China	12	303 1.6×	101 0.7×	141 1.2×	81 0.7×	96 0.9×	40	490
Fayu Liu China	14	143 0.7×	117 0.8×	45 0.4×	34 0.3×	89 0.9×	34	671
Tahir Mahmood South Korea	13	342 1.8×	232 1.6×	77 0.6×	14 0.1×	192 1.8×	30	620
Yassir Edrees Almalki Saudi Arabia	8	136 0.7×	100 0.7×	35 0.3×	38 0.3×	50 0.5×	32	258
Michael Wels Germany	15	250 1.3×	66 0.4×	226 1.9×	47 0.4×	125 1.2×	32	513
Deepak R. Chittajallu United States	11	174 0.9×	98 0.7×	134 1.1×	23 0.2×	71 0.7×	24	435
Fan Tang China	8	108 0.6×	42 0.3×	62 0.5×	22 0.2×	44 0.4×	19	303
Vasant Kearney United States	14	613 3.2×	118 0.8×	305 2.5×	41 0.4×	100 1.0×	29	821
Serena Bonaretti United States	12	134 0.7×	52 0.3×	135 1.1×	14 0.1×	139 1.3×	21	498

Countries citing papers authored by Bingjiang Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Bingjiang Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingjiang Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Bingjiang Qiu. A scholar is included among the top collaborators of Bingjiang Qiu 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 Bingjiang Qiu. Bingjiang Qiu 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

Qiu, Bingjiang, Shunli Liu, Cheng Lu, et al.. (2025). Multitask Deep Learning Based on Longitudinal CT Images Facilitates Prediction of Lymph Node Metastasis and Survival in Chemotherapy-Treated Gastric Cancer. Cancer Research. 85(13). 2527–2536. 2 indexed citations

Huang, Yanqi, Zhihong Chen, Zhongqiu Lin, et al.. (2025). Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans. Expert Systems with Applications. 284. 127727–127727.

Chen, Zhihong, Yanfen Cui, Suyun Li, et al.. (2024). ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images. Biomedical Signal Processing and Control. 96. 106500–106500. 9 indexed citations

Qiu, Bingjiang, Shunli Liu, Lei Wu, et al.. (2024). A transformer-based deep learning model for early prediction of lymph node metastasis in locally advanced gastric cancer after neoadjuvant chemotherapy using pretreatment CT images. EClinicalMedicine. 75. 102805–102805. 11 indexed citations

Guo, Jiapan, Tian‐Tian Zhai, A. van der Schaaf, et al.. (2023). CT‐based deep multi‐label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma. Medical Physics. 50(10). 6190–6200. 8 indexed citations

Li, An, Bingjiang Qiu, Yuntao Chen, et al.. (2023). Association between the quality of plant‐based diets and periodontitis in the U.S. general population. Journal Of Clinical Periodontology. 50(5). 591–603. 21 indexed citations

Qiu, Bingjiang, et al.. (2023). Morphological Variation of the Mandible in the Orthognathic Population—A Morphological Study Using Statistical Shape Modelling. Journal of Personalized Medicine. 13(5). 854–854. 3 indexed citations

A, Li, Ping Li, Zhaoqiang Yun, et al.. (2023). Automatic segmentation of inferior alveolar canal with ambiguity classification in panoramic images using deep learning. Heliyon. 9(2). e13694–e13694. 10 indexed citations

Wang, Yumeng, Huan Lin, Xiaobo Chen, et al.. (2023). Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma. iScience. 26(9). 107635–107635. 20 indexed citations

10.

Lin, Jianwei, Jiatai Lin, Hao Chen, et al.. (2023). CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. IEEE Transactions on Medical Imaging. 42(8). 2451–2461. 103 indexed citations breakdown →

11.

Du, Mi, Shulan Xu, Bingjiang Qiu, et al.. (2022). Serum antibodies to periodontal pathogens are related to allergic symptoms. Journal of Periodontology. 94(2). 204–216. 3 indexed citations

12.

Wang, Yumeng, Xipeng Pan, Huan Lin, et al.. (2022). Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study. Journal of Translational Medicine. 20(1). 595–595. 8 indexed citations

13.

Pan, Xipeng, Huan Lin, Chu Han, et al.. (2022). Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma. iScience. 25(12). 105605–105605. 30 indexed citations

14.

Liu, Yu, Ying Wang, Yuxiang Wang, et al.. (2022). Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network: A multicentre, retrospective cohort study. EClinicalMedicine. 52. 101562–101562. 41 indexed citations

15.

Qiu, Bingjiang, Joep Kraeima, Haye H. Glas, et al.. (2021). Robust and Accurate Mandible Segmentation on Dental CBCT Scans Affected by Metal Artifacts Using a Prior Shape Model. Journal of Personalized Medicine. 11(5). 364–364. 17 indexed citations

16.

Qiu, Bingjiang, Jiapan Guo, Joep Kraeima, et al.. (2021). Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography. Journal of Personalized Medicine. 11(6). 492–492. 21 indexed citations

17.

Qiu, Bingjiang, Joep Kraeima, Haye H. Glas, et al.. (2021). Mandible Segmentation of Dental CBCT Scans Affected by Metal Artifacts Using Coarse-to-Fine Learning Model. Journal of Personalized Medicine. 11(6). 560–560. 14 indexed citations

18.

Qiu, Bingjiang, Jiapan Guo, Joep Kraeima, et al.. (2019). Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network. Physics in Medicine and Biology. 64(17). 175020–175020. 46 indexed citations

19.

Qiu, Bingjiang, Jiapan Guo, Joep Kraeima, et al.. (2018). 3D segmentation of mandible from multisectional CT scans by convolutional neural networks. Data Archiving and Networked Services (DANS). 1–11. 3 indexed citations

20.

Qiu, Bingjiang, Wen-Sheng Chen, Bo Chen, & Binbin Pan. (2016). A new parallel MRI image reconstruction model with elastic net regularization. 17. 3426–3432. 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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