Lingyun Bao

678 total citations
25 papers, 185 citations indexed

About

Lingyun Bao is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Lingyun Bao has authored 25 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 12 papers in Artificial Intelligence and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Lingyun Bao's work include AI in cancer detection (12 papers), Breast Lesions and Carcinomas (10 papers) and Digital Radiography and Breast Imaging (9 papers). Lingyun Bao is often cited by papers focused on AI in cancer detection (12 papers), Breast Lesions and Carcinomas (10 papers) and Digital Radiography and Breast Imaging (9 papers). Lingyun Bao collaborates with scholars based in China, Macao and Canada. Lingyun Bao's co-authors include Jun Lou, Xi Lin, Anhua Li, Yaqing Chen, Peifang Liu, Xiang Zhou, Xiaojing Xu, Mengmeng Jia, Fanlei Kong and You‐Lin Qiao and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Breast Cancer Research and Treatment.

In The Last Decade

Lingyun Bao

19 papers receiving 181 citations

Peers

Lingyun Bao

PRM

PFM

RNMI

ONCOL

Yun Pang China

Boram Song South Korea

Zhou Dong China

Heba Amer Germany

Cristina Eunbee Cho South Korea

Tiantian Zheng China

Andreea-Iuliana Ionescu Romania

Atsushi Goto Japan

Haizhu Xie China

Arpit A. Almal United States

Yun Pang China

Lingyun Bao

50 ×0.6

48 ×0.6

PRM

48 ×0.9

PFM

37 ×0.7

RNMI

19 ×0.7

ONCOL

Citations per year, relative to Lingyun Bao Lingyun Bao (= 1×) peers Yun Pang

Countries citing papers authored by Lingyun Bao

Since Specialization

Citations

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

Fields of papers citing papers by Lingyun Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyun Bao

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

Liu, Wenbao, Wengang Liu, Lingyun Bao, et al.. (2025). Synthesis, flotation behavior, and structure-performance relationship of three hydroxyl-containing cationic collectors. Minerals Engineering. 231. 109443–109443. 2 indexed citations

Xu, Xiaojing, et al.. (2025). Using artificial intelligence system for assisting the classification of breast ultrasound glandular tissue components in dense breast tissue. Scientific Reports. 15(1). 11754–11754.

Chen, Xudong, Wengang Liu, Jing Zhang, et al.. (2025). Application and mechanistic insights of high-performance sodium phytate-based combined depressant in flotation of dolomite-rich magnesite ore. Journal of Cleaner Production. 503. 145415–145415. 12 indexed citations

Xu, Xiaojing, et al.. (2024). Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study. BMC Medical Imaging. 24(1). 126–126.

Bao, Lingyun, et al.. (2023). An analysis of the risk factors for invasive fungal infections in preterm infants and a discussion of prevention strategies. Technology and Health Care. 32(1). 361–367.

Bao, Lingyun, et al.. (2023). Efficiency and impact factors of anatomical intelligence for breast and hand‐held ultrasound in lesion detection. Journal of Clinical Ultrasound. 51(6). 1039–1047.

Yang, Jing, et al.. (2022). Predicting papillary thyroid carcinoma cervical lymph node metastases: an algorithm using the American College of Radiology Thyroid Imaging, Reporting and Data System. Acta Radiologica. 64(1). 101–107. 1 indexed citations

Xu, Xiaojing, et al.. (2022). Predicting the molecular subtypes of breast cancer using nomograms based on three-dimensional ultrasonography characteristics. Frontiers in Oncology. 12. 838787–838787. 2 indexed citations

Bao, Lingyun, et al.. (2021). The hidden breast lesions: A case report of bilateral breast cancer. Journal of Clinical Ultrasound. 50(3). 422–427. 1 indexed citations

10.

Ma, Jinlian, et al.. (2021). Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images. International Journal of Computer Assisted Radiology and Surgery. 17(2). 363–372. 8 indexed citations

11.

Jia, Mengmeng, Xi Lin, Xiang Zhou, et al.. (2020). Diagnostic performance of automated breast ultrasound and handheld ultrasound in women with dense breasts. Breast Cancer Research and Treatment. 181(3). 589–597. 31 indexed citations

12.

Lin, Xi, Mengmeng Jia, Xiang Zhou, et al.. (2020). The diagnostic performance of automated versus handheld breast ultrasound and mammography in symptomatic outpatient women: a multicenter, cross-sectional study in China. European Radiology. 31(2). 947–957. 18 indexed citations

13.

Zhang, Li, Lingyun Bao, Xiaojing Xu, et al.. (2019). Diagnostic Performance Using Automated Breast Ultrasound System for Breast Cancer in Chinese Women Aged 40 Years or Older: A Comparative Study. Ultrasound in Medicine & Biology. 45(12). 3137–3144. 12 indexed citations

14.

Tan, Tao, et al.. (2018). Classification of breast mass in 3D ultrasound images with annotations based on convolutional neural networks. TU/e Research Portal. 4 indexed citations

15.

Chen, Haiping, et al.. (2018). Value of convergence sign on coronal plane images of automated breast volume scanning in diagnosis of breast lesions. 15(12). 948–952. 1 indexed citations

16.

Fang, Jianhua, Yi Shao, Ying Wan, et al.. (2018). Diagnostic value of PD-1 mRNA expression combined with breast ultrasound in breast cancer patients. Therapeutics and Clinical Risk Management. Volume 14. 1527–1535. 3 indexed citations

17.

Xu, Xiaojing, et al.. (2018). 1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System. Ultrasound in Medicine & Biology. 44(8). 1694–1702. 18 indexed citations

18.

Lou, Jun, et al.. (2017). Contrast-enhanced ultrasound for needle biopsy of central lung cancer with atelectasis. Journal of Medical Ultrasonics. 45(3). 461–467. 19 indexed citations

19.

Jia, Mengmeng, Xi Lin, Yuyang Chen, et al.. (2017). A Multi-Center Study of Automated Breast Ultrasound System for the Diagnosis of Breast Cancer in China. Annals of Global Health. 83(1). 104–104.

20.

Bao, Lingyun, et al.. (2015). The diagnostic value of the automated breast volume scanner in ductal carcinoma in situ. 12(1). 61–67. 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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