Song Gu

977 total citations · 1 hit paper
11 papers, 319 citations indexed

About

Song Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Genetics. According to data from OpenAlex, Song Gu has authored 11 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Neurology and 2 papers in Genetics. Recurrent topics in Song Gu's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (2 papers) and Brain Tumor Detection and Classification (2 papers). Song Gu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (2 papers) and Brain Tumor Detection and Classification (2 papers). Song Gu collaborates with scholars based in China, Germany and United States. Song Gu's co-authors include Barbara Laumbacher, Norbert Mueller, Cheng Zhu, Jian He, Cheng Ge, Shangqing Liu, Qi Zhang, Congcong Wang, Yichi Zhang and Yao Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Song Gu

10 papers receiving 310 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

2021 178 citations Jun Ma, Yao Zhang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Song Gu

Since Specialization

Citations

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

Fields of papers citing papers by Song Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Gu

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Nasal respiration modulates pain perception via the olfactory Bulb–Anterior cingulate cortex circuit 2025 ·iScience ·Ruey‐Kuang Cheng, Yuxue Wang, Chunyan Dou, Song Gu, (unknown), Chen Chen, Kexin Chen, Shuai Cui, (unknown)	0
2	Epithelial cell size dysregulation in human lung adenocarcinoma 2022 ·PLoS ONE ·(unknown), Song Gu, Jun Xu, Charuhas Deshpande, Michael D. Feldman, Matthew C. Good	5
3	Deep learning-based automatic delineation of the hippocampus by MRI: geometric and dosimetric evaluation 2021 ·Radiation Oncology ·(unknown), Lei Zhao, Song Gu, Yi Tang, (unknown), Wen Yu, Lucheng Zhu, (unknown), (unknown), Zhiyong Xu, Xiadong Li, Zhongxiang Ding, Xiaolong Fu, Shenglin Ma, Jun Yan, (unknown), Tao Zhou, Bing Xia	14
4	AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? breakdown → 2021 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang	178
5	[Automated grading of glioma based on density and atypia analysis in whole slide images]. 2021 ·PubMed ·(unknown), Jiawei Xie, Song Gu, Chaoyang Yan, Jianrui Li, (unknown), Jun Xu	2
6	Transcription factor PU.1 is involved in the progression of glioma 2018 ·Oncology Letters ·Yuanzhi Xu, Song Gu, Yunke Bi, Xiangqian Qi, (unknown), Meiqing Lou	28
7	Action Recognition Using Low-Rank Sparse Representation 2018 ·IEICE Transactions on Information and Systems ·(unknown), Song Gu, (unknown), Mei Xie	1
8	Monitoring of Tumor Growth with [18F]-FET PET in a Mouse Model of Glioblastoma: SUV Measurements and Volumetric Approaches 2016 ·Frontiers in Neuroscience ·Adrien Holzgreve, Matthias Brendel, Song Gu, Janette Carlsen, Erik Mille, Guido Böning, (unknown), Marcus Unterrainer, F.J. Gildehaus, Axel Rominger, Peter Bartenstein, Roland E. Kälin, Rainer Glaß, Nathalie L. Albert	9
9	Decreased demand for olfactory periglomerular cells impacts on neural precursor cell viability in the rostral migratory stream 2016 ·Scientific Reports ·(unknown), Song Gu, (unknown), Caiyi Zhang, Julia E. Neumann, Ulrich Schüller, Kristin Stock, Susanne A. Wolf, (unknown), (unknown), (unknown), Hongwei Cheng, Roland E. Kälin, Kenn Holmbeck, Jörg Strotmann, Helmut Kettenmann, Rainer Glaß	7
10	Activated Monocytes Prime Naïve T Cells Against Autologous Cancer: Vigorous Cancer DestructionIn VitroandIn Vivo 2011 ·Scandinavian Journal of Immunology ·Barbara Laumbacher, Song Gu, Rudolf Wank	13
11	Associations between Chlamydophila infections, schizophrenia and risk of HLA-A10 2006 ·Molecular Psychiatry ·(unknown), Barbara Laumbacher, Norbert Mueller, Song Gu, (unknown)	62

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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