Hao Wei

838 total citations
23 papers, 235 citations indexed

About

Hao Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hao Wei has authored 23 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Ophthalmology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hao Wei's work include Retinal Imaging and Analysis (11 papers), Optical Coherence Tomography Applications (5 papers) and Retinal Diseases and Treatments (5 papers). Hao Wei is often cited by papers focused on Retinal Imaging and Analysis (11 papers), Optical Coherence Tomography Applications (5 papers) and Retinal Diseases and Treatments (5 papers). Hao Wei collaborates with scholars based in China, United States and Hong Kong. Hao Wei's co-authors include Zailiang Chen, Peng Peng, Hailan Shen, José Alves, Elena Fedorovskaya, Carman Neustaedter, Zhong Xue, Feng Shi, Qingfeng Li and Rongchang Zhao and has published in prestigious journals such as Cerebral Cortex, IEEE Access and Medical Physics.

In The Last Decade

Hao Wei

22 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Wei China 9 116 75 47 44 34 23 235
Yishi Wang China 13 130 1.1× 12 0.2× 75 1.6× 26 0.6× 11 0.3× 31 344
Daniel McCarthy United States 8 122 1.1× 146 1.9× 27 0.6× 27 0.6× 17 0.5× 18 335
Sisi Chen China 12 262 2.3× 276 3.7× 14 0.3× 80 1.8× 19 0.6× 45 533
Benjamin King Hong Law China 11 192 1.7× 10 0.1× 69 1.5× 46 1.0× 22 0.6× 15 436
Parth A. Patel United States 9 53 0.5× 61 0.8× 10 0.2× 10 0.2× 23 0.7× 51 266
Agostina J. Larrazabal Argentina 2 137 1.2× 24 0.3× 33 0.7× 33 0.8× 24 0.7× 5 380
Haroon Ahmed Khan Pakistan 9 109 0.9× 71 0.9× 91 1.9× 32 0.7× 4 0.1× 30 274
Matthew Wang United States 9 33 0.3× 18 0.2× 6 0.1× 17 0.4× 16 0.5× 26 290
Zunjie Xiao China 10 169 1.5× 86 1.1× 91 1.9× 36 0.8× 5 0.1× 17 221
Hiroki Nishimura Japan 11 33 0.3× 33 0.4× 27 0.6× 15 0.3× 7 0.2× 41 270

Countries citing papers authored by Hao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Wei

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

All Works

20 of 20 papers shown
1.
Li, Feng, et al.. (2025). Global-Local Transformer Network for Automatic Retinal Pathological Fluid Segmentation in Optical Coherence Tomography Images. Computer Methods and Programs in Biomedicine. 266. 108772–108772. 1 indexed citations
2.
3.
Wei, Hao, Peilun Shi, Juzheng Miao, et al.. (2024). CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading. Computers in Biology and Medicine. 175. 108459–108459. 4 indexed citations
4.
Li, Feng, et al.. (2024). Multi-lesion segmentation guided deep attention network for automated detection of diabetic retinopathy. Computers in Biology and Medicine. 183. 109352–109352. 4 indexed citations
5.
Wei, Hao. (2023). A Comparative Study of Chinese and Western Music. 3(1). 80–82. 2 indexed citations
6.
Cheng, Jerome, Carl J. Schmidt, Allecia M. Wilson, et al.. (2023). Artificial intelligence for human gunshot wound classification. Journal of Pathology Informatics. 15. 100361–100361. 15 indexed citations
7.
Jacobs, Ryan, Hao Wei, Xiaoshan Li, et al.. (2022). Performance and limitations of deep learning semantic segmentation of multiple defects in transmission electron micrographs. Cell Reports Physical Science. 3(5). 100876–100876. 30 indexed citations
8.
9.
Abdullah, Abu S., et al.. (2021). Perceptions of e-cigarettes among smokers and non-smokersin households with children in rural China: A cross-sectionalstudy. Tobacco Induced Diseases. 19(April). 1–11. 2 indexed citations
10.
Wei, Hao & Peng Peng. (2020). The Segmentation of Retinal Layer and Fluid in SD-OCT Images Using Mutex Dice Loss Based Fully Convolutional Networks. IEEE Access. 8. 60929–60939. 26 indexed citations
11.
Wei, Hao, Hailan Shen, Junhua Li, Rongchang Zhao, & Zailiang Chen. (2020). AneNet: A lightweight network for the real-time anemia screening from retinal vessel optical coherence tomography images. Optics & Laser Technology. 136. 106773–106773. 12 indexed citations
12.
Li, Qingfeng, Hao Wei, Zhong Xue, et al.. (2020). DS-GCNs: Connectome Classification using Dynamic Spectral Graph Convolution Networks with Assistant Task Training. Cerebral Cortex. 31(2). 1259–1269. 23 indexed citations
13.
Chen, Zailiang, Peng Peng, Hailan Shen, et al.. (2019). Region-segmentation strategy for Bruch’s membrane opening detection in spectral domain optical coherence tomography images. Biomedical Optics Express. 10(2). 526–526. 7 indexed citations
14.
Chen, Zailiang, et al.. (2019). Automated segmentation of fluid regions in optical coherence tomography B-scan images of age-related macular degeneration. Optics & Laser Technology. 122. 105830–105830. 35 indexed citations
15.
Chen, Zailiang, et al.. (2019). Automated retinal layer segmentation in OCT images of age‐related macular degeneration. IET Image Processing. 13(11). 1824–1834. 12 indexed citations
16.
Wei, Hao. (2018). Plan ahead: What can we learn from the opoid crisis in U.S.. Chin J Psychiatry. 51(5). 287–292. 1 indexed citations
17.
Chen, Zailiang, Hao Wei, Hailan Shen, et al.. (2018). Intraretinal layer segmentation and parameter measurement in optic nerve head region through energy function of spatial-gradient continuity constraint. Journal of Central South University. 25(8). 1938–1947. 3 indexed citations
18.
Chen, Zailiang, Peng Peng, Beiji Zou, et al.. (2017). Automatic Anterior Lamina Cribrosa Surface Depth Measurement Based on Active Contour and Energy Constraint. Journal of Computer Science and Technology. 32(6). 1214–1221. 2 indexed citations
19.
Singhal, Amit, et al.. (2005). Inducing node specification in active shape models for accurate lung-field segmentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5747. 431–431. 2 indexed citations
20.
Luo, Hui, Hao Wei, & Craig Cornelius. (2005). <title>Automatic hanging protocol for chest radiographs</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5748. 33–42. 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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