Min Bai

891 total citations
37 papers, 698 citations indexed

About

Min Bai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Min Bai has authored 37 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Biomedical Engineering and 9 papers in Molecular Biology. Recurrent topics in Min Bai's work include Ultrasound and Hyperthermia Applications (12 papers), Aluminum Alloy Microstructure Properties (6 papers) and Ultrasound Imaging and Elastography (6 papers). Min Bai is often cited by papers focused on Ultrasound and Hyperthermia Applications (12 papers), Aluminum Alloy Microstructure Properties (6 papers) and Ultrasound Imaging and Elastography (6 papers). Min Bai collaborates with scholars based in China and United States. Min Bai's co-authors include Jiying Gu, Lianfang Du, Fan Li, Fan Li, Huiping Zhang, Lianfang Du, Xuemei Zhang, Huili Chen, Jing Zhao and Ting Sun and has published in prestigious journals such as Oncogene, Materials Science and Engineering A and RSC Advances.

In The Last Decade

Min Bai

37 papers receiving 689 citations

Peers

Min Bai
Xiao‐Wan Bo China
Bo-Ji Liu China
Xueying Long China
Wen Zhu China
Akiko Sasaki Japan
Floris J. Voskuil Netherlands
Leonidas Nikolaos Diamantopoulos United States
Chenchen Wang China
Qing Lv China
Tuomas Virén Finland
Xiao‐Wan Bo China
Min Bai
Citations per year, relative to Min Bai Min Bai (= 1×) peers Xiao‐Wan Bo

Countries citing papers authored by Min Bai

Since Specialization
Citations

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

Fields of papers citing papers by Min Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Bai

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

All Works

20 of 20 papers shown
1.
Tang, Songbai, Guohua Wu, Lingfei Cao, et al.. (2025). Anomalous precipitation behavior in T-phase strengthened Al-Mg-Zn(-Cu) alloys: Effects of aging temperatures and Cu contents. Materials Science and Engineering A. 933. 148287–148287. 2 indexed citations
2.
Tang, Songbai, Lingfei Cao, Guohua Wu, et al.. (2025). Tailoring two-step ageing and Cu content for rapid ageing response and high strength in T-phase reinforced Al-Mg-Zn alloys. Journal of Alloys and Compounds. 1029. 180792–180792. 1 indexed citations
3.
Lin, Xiaomin, et al.. (2025). Optimization of flow stress model and 3D-processing map for spray-formed aluminum alloy 7055 based on GA-BP artificial neural network. Journal of Alloys and Compounds. 1021. 179743–179743. 6 indexed citations
4.
Bai, Min, Xiaodong Wu, Songbai Tang, et al.. (2024). Study on hot deformation behavior and recrystallization mechanism of an Al-6.3Zn-2.5Mg-2.6Cu-0.11Zr alloy based on machine learning. Journal of Alloys and Compounds. 1000. 175086–175086. 20 indexed citations
5.
Wu, Dawei, Shujun Xing, Xin Wang, et al.. (2024). Personalized neoantigen cancer vaccines: current progression, challenges and a bright future. Clinical and Experimental Medicine. 24(1). 229–229. 17 indexed citations
6.
Lin, Xiaomin, Xiaodong Wu, Lingfei Cao, Songbai Tang, & Min Bai. (2023). Effect of hot deformation on the microstructure of spray-formed 7055 aluminum alloy extruded plate. Journal of Central South University. 30(12). 3950–3963. 3 indexed citations
7.
Du, Lianfang, Min Bai, Zhaojun Li, et al.. (2021). Contrast-enhanced ultrasound as a valuable imaging modality for characterizing testicular lesions. Asian Journal of Andrology. 24(2). 201–206. 9 indexed citations
8.
9.
Gong, Ke, Yang Dong, Dongxiao Li, et al.. (2021). The targetable nanoparticle BAF312@cRGD-CaP-NP represses tumor growth and angiogenesis by downregulating the S1PR1/P-STAT3/VEGFA axis in triple-negative breast cancer. Journal of Nanobiotechnology. 19(1). 165–165. 17 indexed citations
10.
Gong, Ke, Yang Dong, Liting Wang, et al.. (2020). <p>Nanoparticle BAF312@CaP-NP Overcomes Sphingosine-1-Phosphate Receptor-1-Mediated Chemoresistance Through Inhibiting S1PR1/P-STAT3 Axis in Ovarian Carcinoma</p>. International Journal of Nanomedicine. Volume 15. 5561–5571. 10 indexed citations
11.
Zhang, Huiping, Jiying Gu, Min Bai, et al.. (2020). Value of shear wave elastography with maximal elasticity in differentiating benign and malignant solid focal liver lesions. World Journal of Gastroenterology. 26(46). 7416–7424. 8 indexed citations
12.
Zhang, Huiping, et al.. (2018). Value of contrast-enhanced ultrasound in the differential diagnosis of gallbladder lesion. World Journal of Gastroenterology. 24(6). 744–751. 50 indexed citations
13.
Duan, Yourong, Min Bai, Ying Sun, et al.. (2015). Enhanced delivery of PEAL nanoparticles with ultrasound targeted microbubble destruction mediated siRNA transfection in human MCF-7/S and MCF-7/ADR cells in vitro. International Journal of Nanomedicine. 10. 5447–5447. 13 indexed citations
14.
Zhang, Huiping, Qiusheng Shi, Jiying Gu, et al.. (2014). Combined Value of Virtual Touch Tissue Quantification and Conventional Sonographic Features for Differentiating Benign and Malignant Thyroid Nodules Smaller Than 10 mm. Journal of Ultrasound in Medicine. 33(2). 257–264. 19 indexed citations
15.
16.
Hao, Dingjun, Min Bai, Lifang Jin, et al.. (2014). Ultrasound-targeted microbubble destruction combined with dual targeting of HSP72 and HSC70 inhibits HSP90 function and induces extensive tumor-specific apoptosis. International Journal of Oncology. 45(1). 157–164. 8 indexed citations
17.
Zhang, Huiping, Qiusheng Shi, Fan Li, et al.. (2013). Regions of interest and parameters for the quantitative analysis of contrast-enhanced ultrasound to evaluate the anti-angiogenic effects of bevacizumab. Molecular Medicine Reports. 8(1). 154–160. 7 indexed citations
18.
Gu, Jiying, Lianfang Du, Min Bai, et al.. (2012). Preliminary Study on the Diagnostic Value of Acoustic Radiation Force Impulse Technology for Differentiating Between Benign and Malignant Thyroid Nodules. Journal of Ultrasound in Medicine. 31(5). 763–771. 72 indexed citations
19.
Bai, Min, et al.. (2012). Virtual Touch Tissue Quantification Using Acoustic Radiation Force Impulse Technology. Journal of Ultrasound in Medicine. 31(2). 289–294. 112 indexed citations
20.
Xie, Guohua, et al.. (2011). Value of T2-mapping and DWI in the diagnosis of early knee cartilage injury. Journal of Radiology Case Reports. 5(2). 13–8. 21 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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