Beibei Jiang

1.0k total citations · 1 hit paper
33 papers, 582 citations indexed

About

Beibei Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Beibei Jiang has authored 33 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 8 papers in Biomedical Engineering. Recurrent topics in Beibei Jiang's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Advanced X-ray and CT Imaging (8 papers). Beibei Jiang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Advanced X-ray and CT Imaging (8 papers). Beibei Jiang collaborates with scholars based in China, Netherlands and United Kingdom. Beibei Jiang's co-authors include Xueqian Xie, Rozemarijn Vliegenthart, Geertruida H. de Bock, Lu Zhang, Shuai Zhang, Jianying Li, Xiaomeng Shi, Zhihan Xu, Lu Zhang and Matthijs Oudkerk and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Beibei Jiang

29 papers receiving 576 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.

Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra–Low-Dose Chest CT

2022 118 citations Beibei Jiang, Shuai Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beibei Jiang China	14	378	260	126	70	69	33	582
Nemanja Avramović Germany	9	404 1.1×	317 1.2×	66 0.5×	88 1.3×	33 0.5×	15	547
Leigh Conroy Canada	11	310 0.8×	175 0.7×	156 1.2×	34 0.5×	35 0.5×	35	608
Massimo Imbriaco Italy	18	475 1.3×	461 1.8×	74 0.6×	41 0.6×	42 0.6×	32	846
Mingzhu Liang China	12	459 1.2×	518 2.0×	117 0.9×	76 1.1×	22 0.3×	31	739
Artit Jirapatnakul United States	15	443 1.2×	383 1.5×	110 0.9×	50 0.7×	35 0.5×	42	611
Mostafa Nazari Iran	11	498 1.3×	227 0.9×	188 1.5×	52 0.7×	13 0.2×	18	562
Hao Yang China	16	449 1.2×	361 1.4×	113 0.9×	159 2.3×	11 0.2×	71	770
Mingxiang Wu China	12	216 0.6×	89 0.3×	43 0.3×	30 0.4×	42 0.6×	33	386
M.V. Villas Spain	5	436 1.2×	179 0.7×	197 1.6×	82 1.2×	12 0.2×	6	503
Enming Cui China	14	461 1.2×	333 1.3×	125 1.0×	104 1.5×	9 0.1×	34	656

Countries citing papers authored by Beibei Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Beibei Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Jiang

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

Zhou, Yu, et al.. (2025). Real-time facial expression recognition via quaternion Gabor convolutional neural network. Journal of Visual Communication and Image Representation. 113. 104625–104625.

Jiang, Beibei, Michael P.A. Davies, Jan W. Gratama, et al.. (2025). Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction. European Journal of Cancer. 220. 115324–115324. 3 indexed citations

Wu, Mengxi, Tingting Tang, Pengfeng Xiao, et al.. (2025). Characterization of endophytic bacterial communities in Abelmoschus manihot under Cd stress and isolation of Cd-resistant bacteria. Journal of Hazardous Materials. 496. 139367–139367. 1 indexed citations

Jiang, Beibei & Yu Zhou. (2025). Multi-modal deep facial expression recognition framework combining knowledge distillation and retrieval-augmented generation. Journal of Visual Communication and Image Representation. 114. 104645–104645.

Jiang, Beibei, Michael P.A. Davies, Jan‐Willem Gratama, et al.. (2025). AI performance for nodule volume doubling time in the follow-up of the UKLS lung cancer screening study compared to expert consensus and histological validation. European Journal of Cancer. 232. 116137–116137.

Jiang, Beibei, Daiwei Han, Carlijn M. van der Aalst, et al.. (2024). Lung cancer volume doubling time by computed tomography: A systematic review and meta-analysis. European Journal of Cancer. 212. 114339–114339. 4 indexed citations

Li, Zhongtang, et al.. (2024). JianPiYiShen formula prevents cisplatin-induced acute kidney injury in mice by improving necroptosis through MAPK pathway. BMC Complementary Medicine and Therapies. 24(1). 101–101. 1 indexed citations

Chen, Guoxiang, et al.. (2024). The impact of surface treatment on Al foil for Cu2ZnSnS4 thin films. Journal of Materials Science Materials in Electronics. 35(26).

Liu, Wen, et al.. (2023). Clinicopathological features of differentiated thyroid carcinoma as predictors of the effects of radioactive iodine therapy. Annals of Diagnostic Pathology. 69. 152243–152243. 6 indexed citations

10.

Sun, Hanzi, Yifei Wang, Beibei Jiang, et al.. (2023). Identification and characterization of an unexpected isomerization motif in CDRH2 that affects antibody activity. mAbs. 15(1). 2215364–2215364. 7 indexed citations

11.

Zhang, Lu, Beibei Jiang, Qiang Chen, et al.. (2022). Motion artifact removal in coronary CT angiography based on generative adversarial networks. European Radiology. 33(1). 43–53. 17 indexed citations

12.

Zhang, Lu, Zhihan Xu, Beibei Jiang, et al.. (2022). Machine-learning-based radiomics identifies atrial fibrillation on the epicardial fat in contrast-enhanced and non-enhanced chest CT. British Journal of Radiology. 95(1135). 20211274–20211274. 15 indexed citations

13.

Zhao, Keke, Beibei Jiang, Shuai Zhang, et al.. (2022). Measurement Accuracy and Repeatability of RECIST-Defined Pulmonary Lesions and Lymph Nodes in Ultra-Low-Dose CT Based on Deep Learning Image Reconstruction. Cancers. 14(20). 5016–5016. 12 indexed citations

14.

Werf, Niels R. van der, et al.. (2021). Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors. BMC Medical Imaging. 21(1). 151–151. 2 indexed citations

15.

Xu, Zhihan, Yaping Zhang, Beibei Jiang, et al.. (2021). Machine-Learning-Derived Nomogram Based on 3D Radiomic Features and Clinical Factors Predicts Progression-Free Survival in Lung Adenocarcinoma. Frontiers in Oncology. 11. 692329–692329. 8 indexed citations

16.

Zhang, Yaping, Mingqian Liu, Yao Shen, et al.. (2021). Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing. SHILAP Revista de lepidopterología. 1(1). 43–43. 10 indexed citations

17.

Zhang, Lu, Jianqing Sun, Beibei Jiang, et al.. (2021). Development of artificial intelligence in epicardial and pericoronary adipose tissue imaging: a systematic review. SHILAP Revista de lepidopterología. 5(1). 14–14. 28 indexed citations

18.

Xu, Zhihan, Yingqian Ge, Beibei Jiang, et al.. (2020). 3D radiomics predicts EGFR mutation, exon-19 deletion and exon-21 L858R mutation in lung adenocarcinoma. Translational Lung Cancer Research. 9(4). 1212–1224. 37 indexed citations

19.

Zhang, Yaping, et al.. (2019). Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study. European Radiology. 30(2). 1285–1294. 15 indexed citations

20.

Xiong, Yan, et al.. (2013). Acute Mechanical Stretch Promotes eNOS Activation in Venous Endothelial Cells Mainly via PKA and Akt Pathways. PLoS ONE. 8(8). e71359–e71359. 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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