Leixin Zhou

409 total citations
9 papers, 249 citations indexed

About

Leixin Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Leixin Zhou has authored 9 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Networks and Communications and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Leixin Zhou's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Retinal Imaging and Analysis (2 papers) and Atomic and Subatomic Physics Research (2 papers). Leixin Zhou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Retinal Imaging and Analysis (2 papers) and Atomic and Subatomic Physics Research (2 papers). Leixin Zhou collaborates with scholars based in United States, China and Israel. Leixin Zhou's co-authors include Xiaodong Wu, Michael D. Abràmoff, Bryan G. Allen, John M. Buatti, Yusung Kim, Kristin A. Plichta, Zhijie Li, Xi Kong, Zhiping Yang and Jin Sha and has published in prestigious journals such as Optics Express, Medical Physics and Biomedical Optics Express.

In The Last Decade

Leixin Zhou

9 papers receiving 243 citations

Peers

Leixin Zhou
Joseph N. Stember United States
Aaron Wu United States
Deniz Aykac United States
Patrik Arnold Switzerland
Leixin Zhou
Citations per year, relative to Leixin Zhou Leixin Zhou (= 1×) peers Shanshan Cui

Countries citing papers authored by Leixin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Leixin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leixin Zhou

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

All Works

9 of 9 papers shown
1.
Xie, Hui, Leixin Zhou, Fahim Zaman, et al.. (2022). Globally optimal OCT surface segmentation using a constrained IPM optimization. Optics Express. 30(2). 2453–2453. 13 indexed citations
2.
Kong, Xi, Leixin Zhou, Zhijie Li, et al.. (2020). Artificial intelligence enhanced two-dimensional nanoscale nuclear magnetic resonance spectroscopy. npj Quantum Information. 6(1). 14 indexed citations
3.
Yang, Zhiping, Xi Kong, Zhijie Li, et al.. (2019). Two-dimensional nanoscale nuclear magnetic resonance spectroscopy enhanced by artificial intelligence. arXiv (Cornell University). 1 indexed citations
4.
Kim, Yusung, Leixin Zhou, Kristin A. Plichta, et al.. (2018). Improving tumor co-segmentation on PET-CT images with 3D co-matting. PubMed. 22. 224–227. 4 indexed citations
5.
Kim, Yusung, Leixin Zhou, Kristin A. Plichta, et al.. (2018). 3D fully convolutional networks for co-segmentation of tumors on PET-CT images. PubMed. 2018. 228–231. 61 indexed citations
6.
Zhou, Leixin, et al.. (2018). Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images. Biomedical Optics Express. 9(9). 4509–4509. 87 indexed citations
7.
Kim, Yusung, Kristin A. Plichta, Bryan G. Allen, et al.. (2018). Simultaneous cosegmentation of tumors in PETCT images using deep fully convolutional networks. Medical Physics. 46(2). 619–633. 63 indexed citations
8.
Zhou, Leixin, Jin Sha, Yun Chen, Chuan Zhang, & Zhongfeng Wang. (2014). Efficient symbol reliability based decoding for QCNB-LDPC codes. 405–408. 2 indexed citations
9.
Zhou, Leixin, Jin Sha, & Zhongfeng Wang. (2012). Efficient EMS decoding for non-binary LDPC codes. 57. 339–342. 4 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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