Bibo Shi

1.1k total citations
25 papers, 375 citations indexed

About

Bibo Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Bibo Shi has authored 25 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Bibo Shi's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Bibo Shi is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Bibo Shi collaborates with scholars based in United States, China and Switzerland. Bibo Shi's co-authors include Jundong Liu, Yani Chen, Pin Zhang, Joseph Y. Lo, Charles D. Smith, Carlo C. Maley, Lorraine King, Maciej A. Mazurowski, Lars J. Grimm and Jeffrey R. Marks and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Oncology.

In The Last Decade

Bibo Shi

24 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bibo Shi United States 10 159 151 80 75 58 25 375
Khushboo Munir Italy 5 171 1.1× 190 1.3× 34 0.4× 73 1.0× 76 1.3× 6 396
Hao Guan China 8 120 0.8× 128 0.8× 23 0.3× 47 0.6× 51 0.9× 21 363
April Khademi Canada 14 232 1.5× 134 0.9× 29 0.4× 173 2.3× 99 1.7× 48 525
Subrata Bhattacharjee South Korea 12 121 0.8× 141 0.9× 34 0.4× 62 0.8× 81 1.4× 34 336
Zhuoyuan Li China 6 121 0.8× 101 0.7× 22 0.3× 89 1.2× 54 0.9× 12 301
Mahsa Shakeri Canada 9 134 0.8× 80 0.5× 31 0.4× 164 2.2× 68 1.2× 20 365
Yunsong Peng China 11 201 1.3× 133 0.9× 61 0.8× 45 0.6× 47 0.8× 38 322
Saima Rathore Pakistan 15 269 1.7× 247 1.6× 60 0.8× 210 2.8× 60 1.0× 27 559
Polyxeni Gkontra Spain 14 240 1.5× 157 1.0× 41 0.5× 63 0.8× 40 0.7× 31 616
Zhuo He China 11 176 1.1× 60 0.4× 46 0.6× 43 0.6× 27 0.5× 32 391

Countries citing papers authored by Bibo Shi

Since Specialization
Citations

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

Fields of papers citing papers by Bibo Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bibo Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Bibo Shi. A scholar is included among the top collaborators of Bibo Shi 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 Bibo Shi. Bibo Shi 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.
Shi, Bibo, et al.. (2025). Research on road surface damage detection based on SEA-YOLO v8. PLoS ONE. 20(6). e0324439–e0324439.
2.
Lv, Linchen, et al.. (2023). MULTIFUNCTIONAL LONG-TERM IMPLANTED ISOTROPIC STRETCHABLE BLADDER ELECTRODE: REAL-TIME BLADDER EMG AND ACTIVITY MONITORING AND ELECTRICAL STIMULATION THERAPY. SHILAP Revista de lepidopterología. 7. 100765–100765. 1 indexed citations
3.
Xing, Nianzeng, Shuo Han, Junhui Jiang, et al.. (2021). 703P Camrelizumab in combination with gemcitabine plus cisplatin as neoadjuvant therapy for muscle-invasive bladder cancer. Annals of Oncology. 32. S714–S714. 2 indexed citations
4.
Winkel, David, Hanns‐Christian Breit, Bibo Shi, et al.. (2020). Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores. Quantitative Imaging in Medicine and Surgery. 10(4). 808–823. 19 indexed citations
5.
6.
7.
Shi, Bibo, Lars J. Grimm, Maciej A. Mazurowski, et al.. (2018). Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features. Journal of the American College of Radiology. 15(3). 527–534. 63 indexed citations
8.
Shi, Bibo & Jundong Liu. (2018). Nonlinear metric learning for kNN and SVMs through geometric transformations. Neurocomputing. 318. 18–29. 19 indexed citations
10.
11.
Shi, Bibo, Lars J. Grimm, Maciej A. Mazurowski, et al.. (2017). Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?. Academic Radiology. 24(9). 1139–1147. 17 indexed citations
12.
Shi, Bibo, Lars J. Grimm, Maciej A. Mazurowski, et al.. (2017). Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101342X–101342X. 1 indexed citations
13.
Zhang, Pin, et al.. (2016). Quad-mesh based radial distance biomarkers for Alzheimer's disease. 19–23. 5 indexed citations
14.
Shi, Bibo, Yani Chen, Pin Zhang, Charles D. Smith, & Jundong Liu. (2016). Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis. Pattern Recognition. 63. 487–498. 70 indexed citations
15.
Zhang, Pin, Bibo Shi, Charles D. Smith, & Jundong Liu. (2016). Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. 16. 314–319. 1 indexed citations
17.
Shi, Bibo, et al.. (2014). Effects of thrombin on the secondary cerebral injury of perihematomal tissues of rats after intracerebral hemorrhage. Genetics and Molecular Research. 13(2). 4617–4626. 13 indexed citations
18.
Shi, Bibo, et al.. (2014). Distance-informed metric learning for Alzheimer's disease staging. PubMed. 2014. 934–937. 7 indexed citations
19.
Shi, Bibo, et al.. (2014). Image registration for motion estimation in cardiac CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 90332E–90332E. 2 indexed citations
20.
Shi, Bibo, et al.. (2013). Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice. PubMed. 32. 2312–2315. 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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