Dazhou Guo

1.5k total citations · 1 hit paper
23 papers, 710 citations indexed

About

Dazhou Guo is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Dazhou Guo has authored 23 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cognitive Neuroscience. Recurrent topics in Dazhou Guo's work include Advanced Neural Network Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Reading and Literacy Development (3 papers). Dazhou Guo is often cited by papers focused on Advanced Neural Network Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Reading and Literacy Development (3 papers). Dazhou Guo collaborates with scholars based in United States, China and Cayman Islands. Dazhou Guo's co-authors include Julius Fridriksson, Chris Rorden, Paul Fillmore, Dakai Jin, Le Lü, Audrey L. Holland, Song Wang, Hongkai Yu, Yuhang Lu and Puyang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and IEEE Transactions on Image Processing.

In The Last Decade

Dazhou Guo

20 papers receiving 699 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.

LViT: Language Meets Vision Transformer in Medical Image Segmentation

2023 135 citations Zihan Li, Yunxiang Li et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dazhou Guo United States	12	280	262	240	125	84	23	710
Deepthi Rajashekar Canada	14	126 0.5×	134 0.5×	92 0.4×	76 0.6×	76 0.9×	35	636
Michele De Filippo De Grazia Italy	12	128 0.5×	220 0.8×	55 0.2×	83 0.7×	33 0.4×	19	569
Constantinos Loukas Greece	20	208 0.7×	145 0.6×	353 1.5×	208 1.7×	51 0.6×	61	1.1k
Annika Plate Germany	17	170 0.6×	110 0.4×	151 0.6×	80 0.6×	154 1.8×	34	911
Ana I. L. Namburete United Kingdom	15	216 0.8×	92 0.4×	138 0.6×	205 1.6×	42 0.5×	41	717
Jungsoo Lee South Korea	14	172 0.6×	156 0.6×	43 0.2×	45 0.4×	176 2.1×	66	618
Yue Gao China	13	51 0.2×	89 0.3×	94 0.4×	161 1.3×	48 0.6×	71	552
Gabriel J. Diaz United States	13	67 0.2×	319 1.2×	143 0.6×	16 0.1×	32 0.4×	50	676
A.F. Frere Brazil	9	157 0.6×	42 0.2×	222 0.9×	276 2.2×	13 0.2×	28	513
Eri Nakano Japan	14	135 0.5×	754 2.9×	30 0.1×	78 0.6×	88 1.0×	48	1.2k

Countries citing papers authored by Dazhou Guo

Since Specialization

Citations

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

Fields of papers citing papers by Dazhou Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dazhou Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Dazhou Guo. A scholar is included among the top collaborators of Dazhou Guo 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 Dazhou Guo. Dazhou Guo 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

Guo, Dazhou, Ziye Wang, & Renguang Zuo. (2025). Large-scale Himalayan Leucogranite Mapping Based on Multi-source Remote-Sensing Data and U-Net Convolutional Network. Natural Resources Research. 34(5). 2403–2421.

Wang, Puyang, Dazhou Guo, Dandan Zheng, et al.. (2024). Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning. IEEE Transactions on Medical Imaging. 43(12). 4294–4306. 6 indexed citations

Guo, Dazhou, Ke Yan, Le Lü, et al.. (2023). Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. 21083–21094. 8 indexed citations

Li, Zihan, Yunxiang Li, Qingde Li, et al.. (2023). LViT: Language Meets Vision Transformer in Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(1). 96–107. 135 indexed citations breakdown →

Jin, Dakai, Dazhou Guo, Jia Ge, Xianghua Ye, & Le Lü. (2022). Towards automated organs at risk and target volumes contouring: Defining precision radiation therapy in the modern era. SHILAP Revista de lepidopterología. 2(4). 306–313. 9 indexed citations

Guo, Dazhou, Jia Ge, Xing Di, et al.. (2021). Anatomy Guided Thoracic Lymph Node Station Delineation in CT Using Deep Learning Model. International Journal of Radiation Oncology*Biology*Physics. 111(3). e120–e121. 2 indexed citations

Guo, Dazhou, Dakai Jin, Zhuotun Zhu, et al.. (2020). Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. 4222–4231. 33 indexed citations

Jin, Dakai, Dazhou Guo, Tsung‐Ying Ho, et al.. (2020). DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. Medical Image Analysis. 68. 101909–101909. 46 indexed citations

Yu, Hongkai, Dazhou Guo, Lan Fu, et al.. (2020). Weakly supervised easy-to-hard learning for object detection in image sequences. Neurocomputing. 398. 71–82. 11 indexed citations

10.

Guo, Dazhou, Yanting Pei, Kang Zheng, et al.. (2019). Degraded Image Semantic Segmentation With Dense-Gram Networks. IEEE Transactions on Image Processing. 29. 782–795. 43 indexed citations

11.

Yu, Hongkai, Zhenjiang Miao, Dazhou Guo, et al.. (2019). An easy-to-hard learning strategy for within-image co-saliency detection. Neurocomputing. 358. 166–176. 14 indexed citations

12.

Guo, Dazhou, Ligeng Zhu, Yuhang Lu, Hongkai Yu, & Song Wang. (2018). Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes. IEEE Transactions on Image Processing. 28(6). 2643–2653. 43 indexed citations

13.

Qu, Yanyun, et al.. (2018). VERTICAL ACCURACY EVALUATION OF ASTER GDEM2 OVER A MOUNTAINOUS AREA BASED ON UAV PHOTOGRAMMETRY. SHILAP Revista de lepidopterología. XLII-2. 579–584. 2 indexed citations

14.

Guo, Dazhou, Kang Zheng, & Song Wang. (2017). Lesion detection using T1-weighted MRI: A new approach based on functional cortical ROIs. 20. 4427–4431. 1 indexed citations

15.

Zheng, Kang, Xiaochuan Fan, Yuewei Lin, et al.. (2017). Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2877–2885. 17 indexed citations

16.

Guo, Dazhou, Julius Fridriksson, Paul Fillmore, et al.. (2015). Automated lesion detection on MRI scans using combined unsupervised and supervised methods. BMC Medical Imaging. 15(1). 50–50. 33 indexed citations

17.

Basilakos, Alexandra, Paul Fillmore, Chris Rorden, et al.. (2014). Regional White Matter Damage Predicts Speech Fluency in Chronic Post-Stroke Aphasia. Frontiers in Human Neuroscience. 8. 845–845. 91 indexed citations

18.

Fridriksson, Julius, Paul Fillmore, Dazhou Guo, & Chris Rorden. (2014). Chronic Broca's Aphasia Is Caused by Damage to Broca's and Wernicke's Areas. Cerebral Cortex. 25(12). 4689–4696. 68 indexed citations

19.

Fridriksson, Julius, Dazhou Guo, Paul Fillmore, Audrey L. Holland, & Chris Rorden. (2013). Damage to the anterior arcuate fasciculus predicts non-fluent speech production in aphasia. Brain. 136(11). 3451–3460. 139 indexed citations

20.

Zhang, Leying, et al.. (2006). Evaluation of GPS/ IMU Supported Aerial Photogrammetry. 1512–1514.

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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