Hanruo Liu

3.9k total citations · 3 hit papers
47 papers, 2.0k citations indexed

About

Hanruo Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hanruo Liu has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Ophthalmology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hanruo Liu's work include Retinal Imaging and Analysis (29 papers), Glaucoma and retinal disorders (21 papers) and Retinal Diseases and Treatments (19 papers). Hanruo Liu is often cited by papers focused on Retinal Imaging and Analysis (29 papers), Glaucoma and retinal disorders (21 papers) and Retinal Diseases and Treatments (19 papers). Hanruo Liu collaborates with scholars based in China, United Kingdom and United States. Hanruo Liu's co-authors include Kai Wang, Hong Kang, Tao Li, Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Song Guo, Yingqi Gao and Ningli Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Hanruo Liu

45 papers receiving 1.9k citations

Hit Papers

Digital technology, tele-medicine and artificial intellig... 2019 2026 2021 2023 2020 2019 2021 100 200 300
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.

  1. Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
    2020 358 citations Ji-Peng Olivia Li, Hanruo Liu et al. Progress in Retinal and Eye Research profile →
  2. Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening
    2019 355 citations Tao Li, Yingqi Gao et al. Information Sciences profile →
  3. Applications of deep learning in fundus images: A review
    2021 227 citations Tao Li, Bo Wang et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanruo Liu China 19 1.4k 977 593 267 150 47 2.0k
András Hajdú Hungary 22 1.3k 0.9× 935 1.0× 797 1.3× 334 1.3× 79 0.5× 135 1.9k
Augustinus Laude Singapore 29 1.9k 1.3× 1.8k 1.9× 593 1.0× 88 0.3× 164 1.1× 77 2.6k
Mathieu Lamard France 25 1.9k 1.4× 1.3k 1.4× 1.2k 2.1× 544 2.0× 47 0.3× 65 2.7k
Quang H. Nguyen Vietnam 25 636 0.5× 804 0.8× 157 0.3× 248 0.9× 271 1.8× 93 1.8k
Azhar Imran Pakistan 21 573 0.4× 205 0.2× 310 0.5× 447 1.7× 42 0.3× 75 1.3k
Muhammad Owais Pakistan 20 485 0.3× 137 0.1× 428 0.7× 318 1.2× 51 0.3× 94 1.2k
Ali Mohammad Alqudah Jordan 21 415 0.3× 79 0.1× 242 0.4× 418 1.6× 28 0.2× 64 1.2k
Md. Nahiduzzaman Bangladesh 20 474 0.3× 98 0.1× 277 0.5× 325 1.2× 21 0.1× 45 1.1k

Countries citing papers authored by Hanruo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hanruo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanruo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hanruo Liu. A scholar is included among the top collaborators of Hanruo Liu 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 Hanruo Liu. Hanruo Liu 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.
He, Hailong, Yixin Liu, Hanruo Liu, et al.. (2024). Deep Learning‐Enabled Vasculometry Depicts Phased Lesion Patterns in High Myopia Progression. Asia-Pacific Journal of Ophthalmology. 13(4). 100086–100086. 7 indexed citations
2.
Xu, Yongli, Hanruo Liu, Run Cang Sun, et al.. (2024). Deep learning for predicting circular retinal nerve fiber layer thickness from fundus photographs and diagnosing glaucoma. Heliyon. 10(13). e33813–e33813. 2 indexed citations
3.
4.
Bi, Qi, Xu Sun, Shuang Yu, et al.. (2023). MIL-ViT: A multiple instance vision transformer for fundus image classification. Journal of Visual Communication and Image Representation. 97. 103956–103956. 23 indexed citations
5.
Shi, Yan, Kai Cao, Ying Han, et al.. (2023). Ab interno canaloplasty versus gonioscopy-assisted transluminal trabeculotomy in open-angle glaucoma: a randomised controlled trial. British Journal of Ophthalmology. 108(5). 687–694. 8 indexed citations
6.
Lu, Shuai, He Zhao, Hanruo Liu, Huiqi Li, & Ningli Wang. (2023). PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation. Neurocomputing. 538. 126183–126183. 21 indexed citations
7.
Li, Ruyue, Kaiwen Zhang, Shi‐Ming Li, et al.. (2023). Implementing a digital comprehensive myopia prevention and control strategy for children and adolescents in China: a cost-effectiveness analysis. The Lancet Regional Health - Western Pacific. 38. 100837–100837. 13 indexed citations
8.
Xu, Qian, Hanruo Liu, Xiaoming Xi, et al.. (2023). External validation of a deep learning detection system for glaucomatous optic neuropathy: a real-world multicentre study. Eye. 37(18). 3813–3818. 5 indexed citations
9.
Sun, Yun, Yu Li, Fengju Zhang, et al.. (2023). A deep network using coarse clinical prior for myopic maculopathy grading. Computers in Biology and Medicine. 154. 106556–106556. 12 indexed citations
10.
Guo, Jia, et al.. (2023). A fundus image classification framework for learning with noisy labels. Computerized Medical Imaging and Graphics. 108. 102278–102278. 4 indexed citations
11.
Zhang, Yue, Ruyue Li, Tao Li, et al.. (2022). Cost-Utility Analysis of Screening for Diabetic Retinopathy in China. SHILAP Revista de lepidopterología. 2022. 9832185–9832185. 2 indexed citations
12.
Jin, Shanshan, Xu Zhang, Hanruo Liu, et al.. (2022). Identification of the Optimal Model for the Prediction of Diabetic Retinopathy in Chinese Rural Population: Handan Eye Study. Journal of Diabetes Research. 2022. 1–9. 3 indexed citations
13.
14.
Xu, Yongli, Man Hu, Hanruo Liu, et al.. (2021). A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. npj Digital Medicine. 4(1). 48–48. 33 indexed citations
15.
Liu, Xuerui, et al.. (2021). Genetic mutations and molecular mechanisms of Fuchs endothelial corneal dystrophy. Eye and Vision. 8(1). 24–24. 16 indexed citations
16.
Li, Tao, Bo Wang, Chunyu Hu, et al.. (2021). Applications of deep learning in fundus images: A review. Medical Image Analysis. 69. 101971–101971. 227 indexed citations breakdown →
17.
Li, Ji-Peng Olivia, Hanruo Liu, Darren Shu Jeng Ting, et al.. (2020). Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective. Progress in Retinal and Eye Research. 82. 100900–100900. 358 indexed citations breakdown →
18.
Zhang, Yue, Ningli Wang, & Hanruo Liu. (2020). Applications of Artificial Intelligence in the Screening of Glaucoma in China. Journal of Medical Systems. 44(7). 124–124. 3 indexed citations
19.
Li, Tao, Yingqi Gao, Kai Wang, et al.. (2019). Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening. Information Sciences. 501. 511–522. 355 indexed citations breakdown →
20.
Ge, Hongyan, Pei Tian, Hanruo Liu, et al.. (2013). A C-terminal fragment BIGH3 protein with an RGDRGD motif inhibits corneal neovascularization in vitro and in vivo. Experimental Eye Research. 112. 10–20. 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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