Bin Lv

604 total citations
43 papers, 394 citations indexed

About

Bin Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Ophthalmology. According to data from OpenAlex, Bin Lv has authored 43 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Neurology and 11 papers in Ophthalmology. Recurrent topics in Bin Lv's work include Retinal Imaging and Analysis (14 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Retinal and Optic Conditions (7 papers). Bin Lv is often cited by papers focused on Retinal Imaging and Analysis (14 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Retinal and Optic Conditions (7 papers). Bin Lv collaborates with scholars based in China, United States and Germany. Bin Lv's co-authors include Chuanfeng Lv, Guotong Xie, Huiguang He, Xinyu Zhao, Youxin Chen, Lihui Meng, Shengyuan Yu, Xusheng Huang, Sen-yang Lang and Jiatang Zhang and has published in prestigious journals such as NeuroImage, Stroke and The Journal of Pathology.

In The Last Decade

Bin Lv

38 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Lv China	13	196	114	51	46	45	43	394
Phani Paladugu United States	11	107 0.5×	60 0.5×	22 0.4×	23 0.5×	15 0.3×	40	295
Brian Chua Australia	13	378 1.9×	462 4.1×	46 0.9×	9 0.2×	43 1.0×	20	706
Yu Luo China	14	200 1.0×	29 0.3×	90 1.8×	10 0.2×	21 0.5×	58	539
Ein Oh South Korea	12	152 0.8×	156 1.4×	10 0.2×	37 0.8×	21 0.5×	14	524
João Barbosa‐Breda Portugal	17	508 2.6×	601 5.3×	19 0.4×	20 0.4×	49 1.1×	59	728
Zaid Mammo Canada	15	610 3.1×	700 6.1×	35 0.7×	23 0.5×	45 1.0×	39	868
Stephen P. Yoon United States	9	366 1.9×	382 3.4×	73 1.4×	8 0.2×	14 0.3×	27	543
Aly Valliani United States	10	54 0.3×	9 0.1×	25 0.5×	76 1.7×	22 0.5×	24	485
Andrew Wu United States	12	64 0.3×	43 0.4×	14 0.3×	26 0.6×	7 0.2×	34	557

Countries citing papers authored by Bin Lv

Since Specialization

Citations

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

Fields of papers citing papers by Bin Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Lv. A scholar is included among the top collaborators of Bin Lv 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 Bin Lv. Bin Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Peng, Yueheng, Yue Yu, Lu Jiang, et al.. (2026). Disease-specific network pattern of perinatal depression revealed by Common Orthogonal Basis Extraction. Brain Research Bulletin. 234. 111719–111719.

Lv, Bin, Haixia Gong, Hongbo Zhang, et al.. (2025). Pavement Disease Visual Detection by Structure Perception and Feature Attention Network. Applied Sciences. 15(2). 551–551. 2 indexed citations

Zhang, Ye, Xiaoyue Zhang, Qing Zhang, et al.. (2024). Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning. Heliyon. 10(15). e35236–e35236.

Zhang, Xiaoyue, Shun Zhang, Bin Lv, et al.. (2024). Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation. BMC Geriatrics. 24(1). 28–28. 4 indexed citations

Song, Ge, et al.. (2024). Analysis of mortality in Parkinson disease in China: Exploration of recent and future trends. Aging Medicine. 7(4). 490–498.

Meng, Ying, Dan Song, Bin Lv, et al.. (2024). Comparison of Changes in Retinal Vascular Parameters and density in patients with Moyamoya disease: A retrospective Study. Ophthalmic Research. 67(1). 211–220.

Lv, Bin, et al.. (2024). Vitamin D supplementation during pregnancy and the role of maternal prenatal depression. BMC Pregnancy and Childbirth. 24(1). 434–434. 1 indexed citations

Zhao, Yan‐Gang, Xiaolan Zhang, Bin Lv, et al.. (2023). Dural sinus septum: an underlying cause of cerebral venous sinus stenting failure and complications. Stroke and Vascular Neurology. 9(2). 174–180. 4 indexed citations

Lv, Bin, Haoye Meng, Luo Zhang, et al.. (2023). A novel method for preparing clot analogs under dynamic vortical flow for testing mechanical thrombectomy devices. Interventional Neuroradiology. 31(5). 675–682. 1 indexed citations

10.

Lv, Bin, Jianguang Zeng, Ling Wang, et al.. (2022). Cases report: MRI findings of asymptomatically familial subependymal heterotopia with filamin A gene abnormality. Frontiers in Neuroscience. 16. 956545–956545. 1 indexed citations

11.

Dong, Yanling, Dongfang Li, Ping Lin, et al.. (2022). Dissecting the Profile of Corneal Thickness With Keratoconus Progression Based on Anterior Segment Optical Coherence Tomography. Frontiers in Neuroscience. 15. 804273–804273. 10 indexed citations

12.

Zhao, Xinyu, Lihui Meng, Hao Su, et al.. (2022). Deep-Learning-Based Hemoglobin Concentration Prediction and Anemia Screening Using Ultra-Wide Field Fundus Images. Frontiers in Cell and Developmental Biology. 10. 888268–888268. 26 indexed citations

13.

Lv, Bin, et al.. (2021). AngioSuite‐Assisted Volume Calculation and Coil Use Prediction in the Endovascular Treatment of Tiny Volume Intracranial Aneurysms. BioMed Research International. 2021(1). 5514608–5514608. 1 indexed citations

14.

Lv, Bin, et al.. (2021). Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Cerebral Venous Thrombosis : A Meta-Analysis. Journal of Korean Neurosurgical Society. 64(3). 418–426. 3 indexed citations

15.

Wang, Rui, Bin Lv, Min Wang, et al.. (2020). OCT Image Quality Evaluation Based on Deep and Shallow Features Fusion Network. 1561–1564. 12 indexed citations

16.

Wang, Rui, et al.. (2020). Lesion-Aware Segmentation Network for Atrophy and Detachment of Pathological Myopia on Fundus Images. 1242–1245. 16 indexed citations

17.

Mang, Jing, Shengyuan Yu, Chenglin Tian, et al.. (2018). Weighing in on the Off-Label Use: Initial Experience of Neuroform EZ Stenting for Intracranial Arterial Stenosis in 45 Patients. Frontiers in Neurology. 9. 852–852. 10 indexed citations

18.

Chen, Zhiye, Peng Zhou, Bin Lv, et al.. (2017). The diagnostic value of high-frequency power-based diffusion-weighted imaging in prediction of neuroepithelial tumour grading. European Radiology. 27(12). 5056–5063. 4 indexed citations

19.

Lv, Bin, Xu Zhang, Shengyuan Yu, et al.. (2015). Lamotrigine induced DIHS/DRESS: Manifestations, treatment, and outcome in 57 patients. Clinical Neurology and Neurosurgery. 138. 1–7. 18 indexed citations

20.

Li, Jing, et al.. (2011). Directional diffusivity changes in the optic nerve and optic radiation in optic neuritis. British Journal of Radiology. 84(1000). 304–314. 19 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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