Rina Bao

434 total citations
8 papers, 59 citations indexed

About

Rina Bao is a scholar working on Artificial Intelligence, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rina Bao has authored 8 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computational Mechanics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rina Bao's work include AI in cancer detection (3 papers), 3D Surveying and Cultural Heritage (2 papers) and Remote Sensing and LiDAR Applications (2 papers). Rina Bao is often cited by papers focused on AI in cancer detection (3 papers), 3D Surveying and Cultural Heritage (2 papers) and Remote Sensing and LiDAR Applications (2 papers). Rina Bao collaborates with scholars based in United States and Norway. Rina Bao's co-authors include Kannappan Palaniappan, Filiz Bunyak, Taher Hajilounezhad, Matthew R. Maschmann, Prasad Calyam, Guna Seetharaman, Yunxin Zhao, Noor Al-Shakarji, Wenjun Zeng and Yue Zhang and has published in prestigious journals such as Medical Image Analysis, IEEE Sensors Journal and Scientific Data.

In The Last Decade

Rina Bao

6 papers receiving 58 citations

Peers

Rina Bao

MC

CVPR

AI

BIOPH

MT

C. Reimers Austria

Y. J. Song China

Minyoung Huh United States

Antreas Antoniou United Kingdom

Takahiro Matsumoto Japan

Y. J. Lee South Korea

N. Kazeev Russia

J. Howell United Kingdom

Jinmiao Zhao China

W. Jin China

C. Reimers Austria

Rina Bao

4 ×0.2

MC

6 ×0.5

CVPR

5 ×0.5

AI

2 ×0.2

BIOPH

2 ×0.3

MT

Citations per year, relative to Rina Bao Rina Bao (= 1×) peers C. Reimers

Countries citing papers authored by Rina Bao

Since Specialization

Citations

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

Fields of papers citing papers by Rina Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Bao

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

8 of 8 papers shown

1.

Bao, Rina, Sara V. Bates, Sheng He, et al.. (2025). PARADISE: Personalized and regional adaptation for HIE disease identification and segmentation. Medical Image Analysis. 102. 103419–103419. 1 indexed citations

2.

Bao, Rina, Yanan Song, Sara V. Bates, et al.. (2025). BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (BONBID-HIE): I. MRI and Lesion Labeling. Scientific Data. 12(1). 53–53. 1 indexed citations

3.

Bao, Rina, et al.. (2025). Relation U-Net. 1–4.

4.

Bao, Rina, Yunxin Zhao, Akhil Srivastava, Shellaine R. Frazier, & Kannappan Palaniappan. (2024). Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology. IEEE Journal of Selected Topics in Signal Processing. 18(6). 1123–1137.

5.

Bao, Rina, Kannappan Palaniappan, Yunxin Zhao, & Guna Seetharaman. (2024). GLSNet++: Global and Local-Stream Feature Fusion for LiDAR Point Cloud Semantic Segmentation Using GNN Demixing Block. IEEE Sensors Journal. 24(7). 11610–11624. 6 indexed citations

6.

Bao, Rina, Noor Al-Shakarji, Filiz Bunyak, & Kannappan Palaniappan. (2021). DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking. PubMed. 2021. 3354–3363. 13 indexed citations

7.

Hajilounezhad, Taher, Rina Bao, Kannappan Palaniappan, et al.. (2021). Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning. npj Computational Materials. 7(1). 32 indexed citations

8.

Bao, Rina, Kannappan Palaniappan, Yunxin Zhao, Guna Seetharaman, & Wenjun Zeng. (2019). GLSNet: Global and Local Streams Network for 3D Point Cloud Classification. 1–9. 6 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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