Botong Wu

459 total citations
8 papers, 253 citations indexed

About

Botong Wu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Botong Wu has authored 8 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Botong Wu's work include Machine Learning in Healthcare (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and COVID-19 diagnosis using AI (2 papers). Botong Wu is often cited by papers focused on Machine Learning in Healthcare (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and COVID-19 diagnosis using AI (2 papers). Botong Wu collaborates with scholars based in China, United States and United Kingdom. Botong Wu's co-authors include Zhen Zhou, Jianwei Wang, Yizhou Wang, Wei‐Shi Zheng, Xiatian Zhu, Xinwei Sun, Yizhou Wang, Jing Li, Xiuli Li and Wei Tang and has published in prestigious journals such as IEEE Transactions on Image Processing, European Radiology and Neural Information Processing Systems.

In The Last Decade

Botong Wu

8 papers receiving 243 citations

Peers

Botong Wu
Yanan Wu China
Yashin Dicente Cid Switzerland
Mingquan Lin United States
Ecem Sogancioglu Netherlands
N. Makni France
Aaron Wu United States
Botong Wu
Citations per year, relative to Botong Wu Botong Wu (= 1×) peers Kranthi Kumar Lella

Countries citing papers authored by Botong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Botong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Botong Wu

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

All Works

8 of 8 papers shown
1.
Sun, Xinwei, et al.. (2021). Recovering Latent Causal Factor for Generalization to Distributional Shifts. Neural Information Processing Systems. 34. 12 indexed citations
2.
Wu, Botong, et al.. (2021). Forecasting Irreversible Disease via Progression Learning. 8113–8121. 1 indexed citations
3.
Li, Jing, Botong Wu, Xinwei Sun, & Yizhou Wang. (2021). Causal Hidden Markov Model for Time Series Disease Forecasting. 12100–12109. 21 indexed citations
4.
Qi, Linlin, Botong Wu, Wei Tang, et al.. (2019). Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning–assisted nodule segmentation. European Radiology. 30(2). 744–755. 67 indexed citations
5.
Wu, Botong, et al.. (2019). Learning With Unsure Data for Medical Image Diagnosis. 10589–10598. 16 indexed citations
6.
Wu, Botong, Zhen Zhou, Jianwei Wang, & Yizhou Wang. (2018). Joint learning for pulmonary nodule segmentation, attributes and malignancy prediction. 1109–1113. 79 indexed citations
7.
Zhu, Xiatian, et al.. (2017). Fast Open-World Person Re-Identification. IEEE Transactions on Image Processing. 27(5). 2286–2300. 54 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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