Jiaxin Gu

573 total citations
14 papers, 256 citations indexed

About

Jiaxin Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Jiaxin Gu has authored 14 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in General Health Professions. Recurrent topics in Jiaxin Gu's work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (3 papers) and Computational and Text Analysis Methods (2 papers). Jiaxin Gu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (3 papers) and Computational and Text Analysis Methods (2 papers). Jiaxin Gu collaborates with scholars based in China, Canada and United States. Jiaxin Gu's co-authors include Qiang Fu, Baochang Zhang, Jianzhuang Liu, Xianbin Cao, Jungong Han, Yushu Zhu, Rongrong Ji, David Doermann, Ce Li and Cary Wu and has published in prestigious journals such as American Journal of Epidemiology, Social Science & Medicine and International Journal of Computer Vision.

In The Last Decade

Jiaxin Gu

14 papers receiving 252 citations

Peers

Jiaxin Gu

CVPR

AI

SPS

GHP

MT

Chuanbo Chen China

Yawen Huang China

Qing Ping United States

Stephen Rudolph United States

Piyush Vyas United States

Luca Casini Italy

T Mcgee United States

K. Maheswari India

Alex Akinbi United Kingdom

Rob Hess Australia

Chuanbo Chen China

Jiaxin Gu

171 ×1.2

CVPR

39 ×0.5

AI

91 ×2.9

SPS

7 ×0.3

GHP

50 ×2.2

MT

Citations per year, relative to Jiaxin Gu Jiaxin Gu (= 1×) peers Chuanbo Chen

Countries citing papers authored by Jiaxin Gu

Since Specialization

Citations

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

Fields of papers citing papers by Jiaxin Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxin Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaxin Gu. A scholar is included among the top collaborators of Jiaxin 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 Jiaxin Gu. Jiaxin 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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14 of 14 papers shown

1.

Gu, Jiaxin, et al.. (2024). Drink like a man? Modified Poisson analysis of adolescent binge drinking in the US, 1976–2022. Social Science & Medicine. 364. 117553–117553. 2 indexed citations

2.

Gu, Jiaxin, et al.. (2023). Gone with the weed: incidents of adolescent marijuana use in the United States, 1976–2021. Annals of Epidemiology. 88. 23–29. 2 indexed citations

3.

Wu, Mingrui, Xuying Zhang, Xiaoshuai Sun, et al.. (2022). DIFNet: Boosting Visual Information Flow for Image Captioning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17999–18008. 37 indexed citations

4.

Gu, Jiaxin, et al.. (2021). Detecting temporal anomalies with pseudo age groups: Homeownership in Canada, 1981 to 2016. Population Space and Place. 28(1). 1 indexed citations

5.

Zhu, Yushu, et al.. (2021). Neoliberalization and inequality: disparities in access to affordable housing in urban Canada 1981–2016. Housing Studies. 38(10). 1860–1887. 30 indexed citations

6.

Xu, Sheng, et al.. (2021). Towards Compact 1-bit CNNs via Bayesian Learning. International Journal of Computer Vision. 130(2). 201–225. 6 indexed citations

7.

Gu, Jiaxin, Xin Guo, Gerry Veenstra, Yushu Zhu, & Qiang Fu. (2020). Adolescent Marijuana Use in the United States and Structural Breaks: An Age-Period-Cohort Analysis, 1991–2018. American Journal of Epidemiology. 190(6). 1056–1063. 5 indexed citations

8.

Fu, Qiang, et al.. (2020). Agreeing to Disagree: Choosing Among Eight Topic-Modeling Methods. Big Data Research. 23. 100173–100173. 14 indexed citations

9.

Gu, Jiaxin, Ce Li, Baochang Zhang, et al.. (2019). Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8344–8351. 47 indexed citations

10.

Fu, Qiang, et al.. (2019). Search for K: Assessing Five Topic-Modeling Approaches to 120,000 Canadian Articles. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 3640–3647. 3 indexed citations

11.

Gu, Jiaxin, Xiaolong Jiang, Baochang Zhang, et al.. (2019). Bayesian Optimized 1-Bit CNNs. 4908–4916. 36 indexed citations

12.

Wu, Cary, Qiang Fu, Jiaxin Gu, & Zhilei Shi. (2018). Does Migration Pay Off?: Returnees, Family Background, and Self-Employment in Rural China. Project Muse (Johns Hopkins University). 18(1). 59–77. 19 indexed citations

13.

Zhang, Baochang, Jiaxin Gu, Chen Chen, et al.. (2018). One-two-one networks for compression artifacts reduction in remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing. 145. 184–196. 42 indexed citations

14.

Fu, Qiang, et al.. (2018). Live like mosquitoes: Hukou, rural–urban disparity, and depression. Chinese Journal of Sociology. 4(1). 56–78. 12 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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