He Zhao

1.9k total citations
50 papers, 1.2k citations indexed

About

He Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, He Zhao has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in He Zhao's work include Retinal Imaging and Analysis (10 papers), Fetal and Pediatric Neurological Disorders (8 papers) and Glaucoma and retinal disorders (6 papers). He Zhao is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Fetal and Pediatric Neurological Disorders (8 papers) and Glaucoma and retinal disorders (6 papers). He Zhao collaborates with scholars based in China, United Kingdom and Canada. He Zhao's co-authors include Huiqi Li, Li Cheng, Sebastian Maurer‐Stroh, Yefeng Zheng, Kai Ma, Qingqing Zheng, Jonathan Li, Lingfei Ma, Han Jiang and Quan Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

He Zhao

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
He Zhao China	17	384	380	327	150	141	50	1.2k
Hamid Abrishami Moghaddam Iran	23	379 1.0×	314 0.8×	823 2.5×	97 0.6×	182 1.3×	108	1.7k
Guangmin Sun China	20	301 0.8×	280 0.7×	406 1.2×	126 0.8×	26 0.2×	148	1.3k
Jinzhu Yang China	23	621 1.6×	426 1.1×	434 1.3×	64 0.4×	251 1.8×	147	1.6k
Beiji Zou China	24	802 2.1×	324 0.9×	1.2k 3.6×	499 3.3×	94 0.7×	189	2.1k
Shuihua Wang United Kingdom	20	385 1.0×	502 1.3×	417 1.3×	26 0.2×	281 2.0×	66	1.4k
Alireza Tavakkoli United States	20	375 1.0×	184 0.5×	284 0.9×	198 1.3×	88 0.6×	135	1.3k
Ruogu Fang United States	18	662 1.7×	273 0.7×	590 1.8×	307 2.0×	74 0.5×	71	1.6k
Şaban Öztürk Türkiye	23	456 1.2×	570 1.5×	537 1.6×	27 0.2×	66 0.5×	63	1.6k
Sijie Niu China	18	592 1.5×	144 0.4×	341 1.0×	504 3.4×	70 0.5×	100	1.2k
Junding Sun China	18	320 0.8×	462 1.2×	612 1.9×	20 0.1×	74 0.5×	90	1.5k

Countries citing papers authored by He Zhao

Since Specialization

Citations

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

Fields of papers citing papers by He Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Zhao

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

Zhao, He, et al.. (2025). ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound. Medical Image Analysis. 104. 103614–103614.

Zhao, He, et al.. (2025). TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer. Medical Image Analysis. 103. 103611–103611.

Liu, Jinhai, et al.. (2025). A triple semantic-aware knowledge distillation network for industrial defect detection. Computers in Industry. 166. 104252–104252. 1 indexed citations

Xu, Ning, et al.. (2024). Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models. 4568–4578. 4 indexed citations

Yasrab, Robail, He Zhao, Zeyu Fu, et al.. (2024). Automating the Human Action of First-Trimester Biometry Measurement from Real-World Freehand Ultrasound. Ultrasound in Medicine & Biology. 50(6). 805–816. 1 indexed citations

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

Zhang, Yanzhu, et al.. (2023). Recognition of Orbital Angular Momentum of Vortex Beams Based on Convolutional Neural Network and Multi-Objective Classifier. Photonics. 10(6). 631–631. 6 indexed citations

Zhang, Xiaowu, Jiaywei Tsauo, Pengfei Tian, et al.. (2023). Randomized comparison of the four-hook anchor device and hook-wire use for the preoperative localization of pulmonary nodules. Journal of Thoracic and Cardiovascular Surgery. 167(2). 498–507.e2. 4 indexed citations

Li, Ximing, et al.. (2023). Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective. Information Fusion. 96. 214–223. 22 indexed citations

10.

Zhao, He, Qingqing Zheng, Robail Yasrab, et al.. (2023). Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound. Medical Image Analysis. 90. 102977–102977. 7 indexed citations

11.

Zhou, Shenghan, et al.. (2023). A Self-Supervised Fault Detection for UAV Based on Unbalanced Flight Data Representation Learning and Wavelet Analysis. Aerospace. 10(3). 250–250. 7 indexed citations

12.

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

13.

Zhao, He, Qingqing Zheng, Robail Yasrab, et al.. (2022). Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data. Lecture notes in computer science. 13434. 228–237. 1 indexed citations

14.

Chen, Yang, Jiamou Liu, He Zhao, & Hong-Yi Su. (2020). Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building. Adaptive Agents and Multi-Agents Systems. 1807–1809. 4 indexed citations

15.

Zhao, He, Longtao Huang, Rong Zhang, Quan Lu, & Hui Xue. (2020). SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. 3239–3248. 121 indexed citations

16.

Zhao, He, Yun Sun, & Huiqi Li. (2019). Retinal vascular junction detection and classification via deep neural networks. Computer Methods and Programs in Biomedicine. 183. 105096–105096. 16 indexed citations

17.

Shi, Yongjie, Danfeng Zhang, Xin Tong, et al.. (2019). Three Orthogonal Vanishing Points Estimation in Structured Scenes Using Convolutional Neural Networks. 3537–3541. 5 indexed citations

18.

Zhao, He, Lan Du, Wray Buntine, & Mingyuan Zhou. (2018). Inter and Intra Topic Structure Learning with Word Embeddings. Monash University Research Portal (Monash University). 5892–5901. 7 indexed citations

19.

Zhao, He, Huiqi Li, Sebastian Maurer‐Stroh, et al.. (2018). Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis. IEEE Transactions on Medical Imaging. 38(1). 46–56. 85 indexed citations

20.

Zhong, Zilong, Jonathan Li, Lingfei Ma, Han Jiang, & He Zhao. (2017). Deep residual networks for hyperspectral image classification. 1824–1827. 99 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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