Bingjiang Qiu

882 citations

23 papers · 484 indexed · 1 hit paper · h-index 12

Radiology, Nuclear Medicine and Imaging top 10%
Artificial Intelligence top 10%
Biomedical Engineering
Oral Surgery top 5%
Computer Vision and Pattern Recognition top 10%

Co-authors: Max J. H. Witjes Ronald Borra Joep Kraeima Jiapan Guo Peter M. A. van Ooijen Zaiyi Liu Haye H. Glas Chu Han
Topics: Radiomics and Machine Learning in Medical Imaging (10 papers)AI in cancer detection (7 papers)Dental Radiography and Imaging (7 papers)
Cited by: Oral Surgery Health Informatics Neurology
Journals: Cancer Research Expert Systems with Applications IEEE Transactions on Medical Imaging
Partner nations: China Netherlands Australia

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

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

#	Work	Indexed citations
1	Multitask Deep Learning Based on Longitudinal CT Images Facilitates Prediction of Lymph Node Metastasis and Survival in Chemotherapy-Treated Gastric Cancer 2025 ·Cancer Research ·Bingjiang Qiu,(unknown),Shunli Liu,(unknown),(unknown),Cheng Lu,(unknown),Wei Wang,Zaiyi Liu,Yanfen Cui	2
2	Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans 2025 ·Expert Systems with Applications ·(unknown),(unknown),Yanqi Huang,(unknown),Zhihong Chen,Zhongqiu Lin,Bingjiang Qiu,Chu Han,Yun Mao,Zaiyi Liu,(unknown)	0
3	ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images 2024 ·Biomedical Signal Processing and Control ·Zhihong Chen,(unknown),Yanfen Cui,(unknown),Suyun Li,Xiaorui Han,(unknown),Wenbin Liu,Xin Chen,Chu Han,Zaiyi Liu,Bingjiang Qiu,Gang Fang	9
4	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 2024 ·EClinicalMedicine ·(unknown),Bingjiang Qiu,Shunli Liu,(unknown),(unknown),Lei Wu,Zhihong Chen,(unknown),Xiaotang Yang,Wei Wang,Zaiyi Liu	11
5	CT‐based deep multi‐label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma 2023 ·Medical Physics ·(unknown),Jiapan Guo,Tian‐Tian Zhai,A. van der Schaaf,R.J.H.M. Steenbakkers,Lisanne V. van Dijk,Stefan Both,Johannes A. Langendijk,Weichuan Zhang,Bingjiang Qiu,Peter M. A. van Ooijen,Nanna M. Sijtsema	8
6	Association between the quality of plant‐based diets and periodontitis in the U.S. general population 2023 ·Journal Of Clinical Periodontology ·An Li,Bingjiang Qiu,(unknown),Yuntao Chen,Shaohua Ge,Shulan Xu,Geerten‐Has E. Tjakkes	21
7	Morphological Variation of the Mandible in the Orthognathic Population—A Morphological Study Using Statistical Shape Modelling 2023 ·Journal of Personalized Medicine ·(unknown),Bingjiang Qiu,Fred K. L. Spijkervet,J. Jansma,Rutger H. Schepers,Joep Kraeima	3
8	Automatic segmentation of inferior alveolar canal with ambiguity classification in panoramic images using deep learning 2023 ·Heliyon ·(unknown),Li A,Ping Li,Zhaoqiang Yun,(unknown),Jun Cheng,Shulan Xu,Bingjiang Qiu	10
9	Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma 2023 ·iScience ·Yumeng Wang,Huan Lin,(unknown),Xiaobo Chen,Bingjiang Qiu,Yanfen Cui,Yu Liu,Bingbing Li,Han Chu,Zhenhui Li,Wei Zhao,Zimin Wang,Xipeng Pan,Cheng Lü,Jun Liu,Zhenbing Liu,Zaiyi Liu	20
10	CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentationbreakdown → 2023 ·IEEE Transactions on Medical Imaging ·Jianwei Lin,Jiatai Lin,(unknown),Hao Chen,Huan Lin,Bingchao Zhao,Zhenwei Shi,Bingjiang Qiu,Xipeng Pan,Zeyan Xu,Biao Huang,Changhong Liang,Guoqiang Han,Zaiyi Liu,Chu Han	103
11	Serum antibodies to periodontal pathogens are related to allergic symptoms 2022 ·Journal of Periodontology ·Mi Du,Shulan Xu,Bingjiang Qiu,Shixian Hu,Geerten‐Has E. Tjakkes,An Li,Shaohua Ge	3
12	Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study 2022 ·Journal of Translational Medicine ·Yumeng Wang,Xipeng Pan,Huan Lin,Chu Han,(unknown),Bingjiang Qiu,(unknown),Xiaomei Huang,Zeyan Xu,Zhenwei Shi,Xin Chen,Bingbing Li,Li‐Xu Yan,Cheng Lu,Zhenhui Li,Yanfen Cui,Zaiyi Liu,Zhenbing Liu	8
13	Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma 2022 ·iScience ·Xipeng Pan,Huan Lin,Chu Han,(unknown),Yumeng Wang,Jiatai Lin,Bingjiang Qiu,Li‐Xu Yan,Bingbing Li,Zeyan Xu,Zhizhen Wang,(unknown),Zhenbing Liu,Changhong Liang,Xin Chen,Zhenhui Li,Yanfen Cui,Cheng Lu,Zaiyi Liu	30
14	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 2022 ·EClinicalMedicine ·Yu Liu,Ying Wang,Yuxiang Wang,(unknown),Yanfen Cui,(unknown),(unknown),Bingjiang Qiu,(unknown),Dong Chen,Guoqing Du,Xin Chen,Zaiyi Liu,Zhenhui Li,Xiaotang Yang,Changhong Liang,Lei Wu	41
15	Robust and Accurate Mandible Segmentation on Dental CBCT Scans Affected by Metal Artifacts Using a Prior Shape Model 2021 ·Journal of Personalized Medicine ·Bingjiang Qiu,(unknown),Joep Kraeima,Haye H. Glas,Jiapan Guo,Ronald Borra,Max J. H. Witjes,Peter M. A. van Ooijen	17
16	Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography 2021 ·Journal of Personalized Medicine ·Bingjiang Qiu,Jiapan Guo,Joep Kraeima,Haye H. Glas,Weichuan Zhang,Ronald Borra,Max J. H. Witjes,Peter M. A. van Ooijen	21
17	Mandible Segmentation of Dental CBCT Scans Affected by Metal Artifacts Using Coarse-to-Fine Learning Model 2021 ·Journal of Personalized Medicine ·Bingjiang Qiu,(unknown),Joep Kraeima,Haye H. Glas,Jiapan Guo,Ronald Borra,Max J. H. Witjes,Peter M. A. van Ooijen	14
18	Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network 2019 ·Physics in Medicine and Biology ·Bingjiang Qiu,Jiapan Guo,Joep Kraeima,Haye H. Glas,Ronald Borra,Max J. H. Witjes,Peter M. A. van Ooijen	46
19	3D segmentation of mandible from multisectional CT scans by convolutional neural networks 2018 ·Data Archiving and Networked Services (DANS) ·Bingjiang Qiu,Jiapan Guo,Joep Kraeima,Ronald Borra,Max J. H. Witjes,Peter M. A. van Ooijen	3
20	A new parallel MRI image reconstruction model with elastic net regularization 2016 ·Bingjiang Qiu,Wen-Sheng Chen,Bo Chen,Binbin Pan	1

About Bingjiang Qiu

Bingjiang Qiu is a scholar working on Oral Surgery, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 484 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (7 papers) and Dental Radiography and Imaging (7 papers). The work is most often cited by research in Oral Surgery (114 citations), Health Informatics (15 citations) and Neurology (92 citations). Bingjiang Qiu has collaborated with scholars based in China, Netherlands and Australia. Frequent 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. Their work appears in journals such as Cancer Research, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

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