Lin Gu

4.4k total citations · 2 hit papers
83 papers, 2.5k citations indexed

About

Lin Gu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Lin Gu has authored 83 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Lin Gu's work include Image Enhancement Techniques (9 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Image Fusion Techniques (8 papers). Lin Gu is often cited by papers focused on Image Enhancement Techniques (9 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Image Fusion Techniques (8 papers). Lin Gu collaborates with scholars based in Japan, China and Australia. Lin Gu's co-authors include Barrett J. Rollins, Susan Tseng, Jun Zhou, Xiao Bai, Tatsuya Harada, Yitian Zhao, Feng Lu, Yisen Wang, James Bailey and Xingjun Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Lin Gu

80 papers receiving 2.4k 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.

Understanding adversarial attacks on deep learning based medical image analysis systems

2020 304 citations Xingjun Ma, Lin Gu et al. Pattern Recognition profile →
Frequency-Aware Feature Fusion for Dense Image Prediction

2024 59 citations Ying Fu, Lin Gu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin Gu Japan	24	921	506	392	367	269	83	2.5k
Jinxing Li China	30	1.2k 1.3×	517 1.0×	338 0.9×	459 1.3×	250 0.9×	117	2.8k
Jing Qin China	29	1.1k 1.2×	490 1.0×	417 1.1×	173 0.5×	372 1.4×	175	2.8k
Qian Yu China	24	628 0.7×	225 0.4×	289 0.7×	380 1.0×	96 0.4×	131	2.5k
Yan Wu China	23	626 0.7×	391 0.8×	196 0.5×	175 0.5×	86 0.3×	231	2.4k
Cheng Lu China	33	1.2k 1.3×	980 1.9×	744 1.9×	254 0.7×	817 3.0×	197	3.8k
Gloria Bueno Spain	25	1.2k 1.3×	1.1k 2.1×	298 0.8×	240 0.7×	356 1.3×	128	2.7k
Miao Liao China	25	908 1.0×	184 0.4×	269 0.7×	204 0.6×	244 0.9×	102	1.6k
Jianbo Shi United States	29	2.8k 3.1×	983 1.9×	697 1.8×	492 1.3×	78 0.3×	78	4.3k
Yanrong Guo China	22	969 1.1×	352 0.7×	111 0.3×	311 0.8×	434 1.6×	101	2.1k
Andy Tsai United States	19	1.7k 1.8×	274 0.5×	466 1.2×	177 0.5×	452 1.7×	68	2.8k

Countries citing papers authored by Lin Gu

Since Specialization

Citations

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

Fields of papers citing papers by Lin Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Jiawei, et al.. (2025). Investigating Synthetic-to-Real Transfer Robustness for Stereo Matching and Optical Flow Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 9113–9129.

Xie, Yutong, Lin Gu, Tatsuya Harada, et al.. (2024). Rethinking masked image modelling for medical image representation. Medical Image Analysis. 98. 103304–103304. 7 indexed citations

Barada, K., et al.. (2024). Using convolutional neural networks to detect edge localized modes in DIII-D from Doppler backscattering measurements. Review of Scientific Instruments. 95(7). 2 indexed citations

Gu, Lin, Kazuma Kobayashi, Tatsuya Harada, et al.. (2024). A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. IEEE Transactions on Medical Imaging. 44(1). 338–347. 1 indexed citations

Zhang, Jiawei, Lei Huang, Xiao Bai, et al.. (2024). Exploring the Usage of Pre-trained Features for Stereo Matching. International Journal of Computer Vision. 132(10). 4305–4326. 9 indexed citations

Fu, Ying, et al.. (2024). Frequency-Aware Feature Fusion for Dense Image Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10763–10780. 59 indexed citations breakdown →

Gu, Lin, et al.. (2024). Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Analysis. 97. 103279–103279. 12 indexed citations

Li, Jinguang, Junyu Liu, Ning Yuan, et al.. (2024). Multiple serum anti-glutamate receptor antibody levels in clozapine-treated/naïve patients with treatment-resistant schizophrenia. BMC Psychiatry. 24(1). 248–248. 4 indexed citations

Liu, Zhenzhong, et al.. (2023). InstrumentNet: An integrated model for real-time segmentation of intracranial surgical instruments. Computers in Biology and Medicine. 166. 107565–107565. 3 indexed citations

10.

Gu, Lin, et al.. (2023). Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. arXiv (Cornell University). 4156–4165. 14 indexed citations

11.

Zhang, Xiao, Huacheng Zeng, Li Xiao, et al.. (2023). PATCH. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–24. 4 indexed citations

12.

Gu, Lin, et al.. (2022). Study on layer formation behavior of Ag joints sintered with pressureless sintering process. Materials Research Express. 9(11). 116512–116512. 6 indexed citations

13.

Zhang, Jiawei, Xiang Wang, Xiao Bai, et al.. (2022). Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12991–13001. 56 indexed citations

14.

Gu, Lin, et al.. (2020). bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion.. CLEF (Working Notes). 2 indexed citations

15.

Zhou, Huixin, Kun Qian, Wei Tan, et al.. (2020). RGB-IR Cross Input and Sub-Pixel Upsampling Network for Infrared Image Super-Resolution. Sensors. 20(1). 281–281. 16 indexed citations

16.

Ma, Xingjun, Lin Gu, Yisen Wang, et al.. (2020). Understanding adversarial attacks on deep learning based medical image analysis systems. Pattern Recognition. 110. 107332–107332. 304 indexed citations breakdown →

17.

Yan, Xinping, et al.. (2019). Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain.. CLEF (Working Notes). 10 indexed citations

18.

Gu, Lin & Antonio Robles‐Kelly. (2012). Shadow detection via Rayleigh scattering and Mie theory. Own your potential (DEAKIN). 2 indexed citations

19.

Gu, Lin. (2009). Research on the Adaptability of Conventional UFLS/UVLS Criteria for Interconnected Power Systems. Power System and Clean Energy. 2 indexed citations

20.

Grewal, Iqbal S., BARBARA J. RUTLEDGE, Lin Gu, et al.. (1997). Transgenic monocyte chemoattractant protein-1 (MCP-1) in pancreatic islets produces monocyte-rich insulitis without diabetes: abrogation by a second transgene expressing systemic MCP-1. The Journal of Immunology. 159(1). 401–408. 125 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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