Hui Bi

504 total citations
13 papers, 395 citations indexed

About

Hui Bi is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hui Bi has authored 13 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hui Bi's work include RNA modifications and cancer (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Hui Bi is often cited by papers focused on RNA modifications and cancer (3 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Hui Bi collaborates with scholars based in China, France and United States. Hui Bi's co-authors include Lingling Li, Ji Zhou, Li Yu, Xin Yao, Xin Yao, Wei Gao, Ian M. Adcock, Dandan Wu, Peter J. Barnes and Mao Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The International Journal of Biochemistry & Cell Biology and Knowledge-Based Systems.

In The Last Decade

Hui Bi

12 papers receiving 392 citations

Peers

Hui Bi
Jiaxin Li China
Biwei Cao United States
Michael C. Boyle United States
Gary W. Gill United States
Lee S. Jacobson United States
Jiaxin Li China
Hui Bi
Citations per year, relative to Hui Bi Hui Bi (= 1×) peers Jiaxin Li

Countries citing papers authored by Hui Bi

Since Specialization
Citations

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

Fields of papers citing papers by Hui Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Bi

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

All Works

13 of 13 papers shown
1.
Bi, Hui, et al.. (2025). DRTNet: Dual-route transformer network for thyroid ultrasound segmentation based on Bbox-supervised learning. Knowledge-Based Systems. 324. 113781–113781. 2 indexed citations
2.
Bi, Hui, et al.. (2023). BPAT-UNet: Boundary preserving assembled transformer UNet for ultrasound thyroid nodule segmentation. Computer Methods and Programs in Biomedicine. 238. 107614–107614. 42 indexed citations
3.
Bi, Hui, Jiawei Sun, Yibo Jiang, Xinye Ni, & Huazhong Shu. (2022). Structure boundary-preserving U-Net for prostate ultrasound image segmentation. Frontiers in Oncology. 12. 900340–900340. 5 indexed citations
4.
Lu, Zhengda, Mu He, Tao Lin, et al.. (2022). Application of virtual noncontrast CT generation technology from intravenous enhanced CT based on deep learning in proton radiotherapy. SHILAP Revista de lepidopterología. 15(1). 172–178. 2 indexed citations
5.
Jiang, Yibo, et al.. (2019). Silicon Controlled Rectifier Based Partially Depleted SOI ESD Protection Device for High Voltage Application. IEICE Transactions on Electronics. E103.C(4). 191–193. 2 indexed citations
6.
Jiang, Yibo, et al.. (2017). Reliability challenge of ESD protection: From planner SOI MOSFET to SOI FinFET. Modern Physics Letters B. 31(19-21). 1740004–1740004.
7.
Bi, Hui, Hui Tang, Guanyu Yang, et al.. (2017). Fast segmentation of ultrasound images by incorporating spatial information into Rayleigh mixture model. IET Image Processing. 11(12). 1188–1196. 3 indexed citations
8.
Bi, Hui, Hui Tang, Guanyu Yang, Huazhong Shu, & Jean‐Louis Dillenseger. (2017). Accurate image segmentation using Gaussian mixture model with saliency map. Pattern Analysis and Applications. 21(3). 869–878. 18 indexed citations
9.
Bi, Hui, Ji Zhou, Dandan Wu, et al.. (2014). Microarray analysis of long non-coding RNAs in COPD lung tissue. Inflammation Research. 64(2). 119–126. 63 indexed citations
10.
Wu, Dandan, Ji Zhou, Hui Bi, et al.. (2014). CCL11 as a potential diagnostic marker for asthma?. Journal of Asthma. 51(8). 847–854. 63 indexed citations
11.
Zhou, Ji, Hui Bi, Ping Zhan, et al.. (2014). Overexpression of HP1γ is associated with poor prognosis in non-small cell lung cancer cell through promoting cell survival. Tumor Biology. 35(10). 9777–9785. 18 indexed citations
12.
Hou, Zhibo, Wei Zhao, Ji Zhou, et al.. (2014). A long noncoding RNA Sox2ot regulates lung cancer cell proliferation and is a prognostic indicator of poor survival. The International Journal of Biochemistry & Cell Biology. 53. 380–388. 130 indexed citations
13.
Li, Lingling, Wei Gao, Xiao Yang, et al.. (2014). Asthma and toxocariasis. Annals of Allergy Asthma & Immunology. 113(2). 187–192. 47 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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