Dewei Hu

612 total citations · 1 hit paper
17 papers, 180 citations indexed

About

Dewei Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Dewei Hu has authored 17 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Dewei Hu's work include Optical Coherence Tomography Applications (5 papers), Advanced Neural Network Applications (5 papers) and Retinal Imaging and Analysis (4 papers). Dewei Hu is often cited by papers focused on Optical Coherence Tomography Applications (5 papers), Advanced Neural Network Applications (5 papers) and Retinal Imaging and Analysis (4 papers). Dewei Hu collaborates with scholars based in United States, Switzerland and Denmark. Dewei Hu's co-authors include İpek Oğuz, Yuankai K. Tao, Katerina Nastou, Christian von Mering, Lars Juhl Jensen, Mikaela Koutrouli, Peer Bork, Rebecca Kirsch, Qingyao Huang and Nadezhda T. Doncheva and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Lecture notes in computer science.

In The Last Decade

Dewei Hu

16 papers receiving 178 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.

The STRING database in 2025: protein networks with directionality of regulation

2024 93 citations Damian Szklarczyk, Katerina Nastou et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dewei Hu United States	6	53	45	39	22	21	17	180
Marija Pizurica United States	5	47 0.9×	15 0.3×	57 1.5×	66 3.0×	21 1.0×	6	202
Xiang‐He Meng China	8	59 1.1×	15 0.3×	74 1.9×	70 3.2×	15 0.7×	19	213
Khalid Masood Pakistan	11	82 1.5×	78 1.7×	87 2.2×	78 3.5×	37 1.8×	32	345
Masaki Yamazaki Japan	9	43 0.8×	21 0.5×	18 0.5×	10 0.5×	27 1.3×	42	193
Grigoriy Gogoshin United States	10	113 2.1×	19 0.4×	11 0.3×	26 1.2×	5 0.2×	22	229
Caisheng He China	6	78 1.5×	14 0.3×	65 1.7×	56 2.5×	7 0.3×	11	197
Yulei Qin China	7	44 0.8×	63 1.4×	121 3.1×	71 3.2×	31 1.5×	11	267
Lama Hassan Canada	11	44 0.8×	34 0.8×	189 4.8×	82 3.7×	30 1.4×	17	365
Reza Ghaeini United States	4	114 2.2×	28 0.6×	33 0.8×	161 7.3×	7 0.3×	5	253

Countries citing papers authored by Dewei Hu

Since Specialization

Citations

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

Fields of papers citing papers by Dewei Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dewei Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Dewei Hu. A scholar is included among the top collaborators of Dewei Hu 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 Dewei Hu. Dewei Hu 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:

17 of 17 papers shown

1.

Hu, Dewei, Damian Szklarczyk, Christian von Mering, & Lars Juhl Jensen. (2025). SPACE: STRING proteins as complementary embeddings. Bioinformatics. 41(9).

2.

Szklarczyk, Damian, Katerina Nastou, Mikaela Koutrouli, et al.. (2024). The STRING database in 2025: protein networks with directionality of regulation. Nucleic Acids Research. 53(D1). D730–D737. 93 indexed citations breakdown →

3.

Li, Hao, et al.. (2024). Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration. 1–5. 1 indexed citations

4.

Liu, Han, Dewei Hu, Ange Lou, et al.. (2024). FNPC-SAM: uncertainty-guided false negative/positive control for SAM on noisy medical images. PubMed. 12926. 1–1. 1 indexed citations

5.

Li, Hao, et al.. (2024). Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models. PubMed. 2024. 1–5. 13 indexed citations

6.

Li, Hao, et al.. (2024). CATS v2: hybrid encoders for robust medical segmentation. 17–17. 1 indexed citations

7.

Wang, Jiacheng, Hao Li, Han Liu, et al.. (2023). SSL2 Self-Supervised Learning meets semi-supervised learning: multiple clerosis segmentation in 7T-MRI from large-scale 3T-MRI. 21–21. 2 indexed citations

8.

Hu, Dewei, et al.. (2023). Deep angiogram: trivializing retinal vessel segmentation. 112–112. 1 indexed citations

9.

Lou, Ange, Dewei Hu, Han Liu, et al.. (2023). Novel application of the attention mechanism on medical image harmonization. 2 indexed citations

10.

Li, Hao, et al.. (2022). Cats: Complementary CNN and Transformer Encoders for Segmentation. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 8 indexed citations

11.

Hu, Dewei, Yuankai K. Tao, & İpek Oğuz. (2022). Unsupervised denoising of retinal OCT with diffusion probabilistic model. 4–4. 35 indexed citations

12.

Hu, Dewei, Hans J. Johnson, Omar Sherbini, et al.. (2022). Human brain extraction with deep learning. 11596. 46–46. 2 indexed citations

13.

Hu, Dewei, et al.. (2021). LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. Lecture notes in computer science. 12901. 514–524. 7 indexed citations

14.

Hu, Dewei, et al.. (2021). Intraoperative spectrally encoded coherence tomography and reflectometry (iSECTR) for ophthalmic surgical guidance. 15–15. 1 indexed citations

15.

Hu, Dewei, et al.. (2020). Retinal OCT Denoising with Pseudo-Multimodal Fusion Network. Lecture notes in computer science. 12069. 125–135. 5 indexed citations

16.

Hu, Dewei, et al.. (2020). Generalizing MRI Subcortical Segmentation to Neurodegeneration. Lecture notes in computer science. 12449. 139–147. 7 indexed citations

17.

Zhou, Gang, et al.. (2010). Image Automatic Registration Technology Based on IDL Programming and GCPs Image Database. Yaogan jishu yu yingyong. 25(5). 627–631. 1 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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