Yiming Hao

469 total citations · 1 hit paper
10 papers, 326 citations indexed

About

Yiming Hao is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yiming Hao has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yiming Hao's work include Fatty Acid Research and Health (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Yiming Hao is often cited by papers focused on Fatty Acid Research and Health (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Yiming Hao collaborates with scholars based in China, Italy and United Kingdom. Yiming Hao's co-authors include Liang Li, Xingyu Gao, Zhenyu Chen, Chenggang Yan, Zhendong Mao, An-An Liu, Jian Yin, Lei Du, Yuhong Yang and Hao Wu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, IEEE Transactions on Circuits and Systems for Video Technology and Information Fusion.

In The Last Decade

Yiming Hao

7 papers receiving 314 citations

Hit Papers

Task-Adaptive Attention for Image Captioning 2021 2026 2022 2024 2021 50 100 150 200 250
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. Task-Adaptive Attention for Image Captioning
    2021 255 citations Chenggang Yan, Yiming Hao et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers

Yiming Hao
Jiacheng Lin China
Wataru Shimoda Japan
Abdullah Elen Türkiye
Chun‐Nan Chou Taiwan
Chenlei Lv China
Matthieu Cord France
Yuelong Xia China
Erdal Başaran Türkiye
Praneeth Vepakomma United States
Pierre Baqué Switzerland
Jiacheng Lin China
Yiming Hao
Citations per year, relative to Yiming Hao Yiming Hao (= 1×) peers Jiacheng Lin

Countries citing papers authored by Yiming Hao

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Hao

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

All Works

10 of 10 papers shown
1.
Cao, Bin, et al.. (2025). Multi-view information fusion based on federated multi-objective neural architecture search for MRI semantic segmentation. Information Fusion. 123. 103301–103301. 2 indexed citations
2.
3.
Zhao, Yang, Pan Zhou, Fangfang Fan, et al.. (2025). A simple score, CKM2S2-BAG, to predict cardiovascular risk with cardiovascular-kidney-metabolic health metrics. iScience. 28(7). 112780–112780.
4.
Li, Jiangtao, Yongchen Hao, Qiuju Deng, et al.. (2025). Life’s Essential 8 cardiovascular health metrics and long-term risk of cardiovascular disease at different stages: A multi-stage analysis. Chinese Medical Journal. 138(5). 592–594. 3 indexed citations
5.
Li, Hao, et al.. (2024). Research on dynamic prediction method of temperature environment of unmanned aerial vehicle platform based on physical information and neural network. Journal of Physics Conference Series. 2746(1). 12027–12027. 1 indexed citations
6.
Du, Lei, Yan Zheng, Yuhong Yang, et al.. (2022). Krill oil prevents lipopolysaccharide-evoked acute liver injury in mice through inhibition of oxidative stress and inflammation. Food & Function. 13(7). 3853–3864. 12 indexed citations
7.
Du, Lei, Yiming Hao, Yuhong Yang, et al.. (2022). DHA-Enriched Phospholipids and EPA-Enriched Phospholipids Alleviate Lipopolysaccharide-Induced Intestinal Barrier Injury in Mice via a Sirtuin 1-Dependent Mechanism. Journal of Agricultural and Food Chemistry. 70(9). 2911–2922. 18 indexed citations
8.
Yan, Chenggang, Yiming Hao, Liang Li, et al.. (2021). Task-Adaptive Attention for Image Captioning. IEEE Transactions on Circuits and Systems for Video Technology. 32(1). 43–51. 255 indexed citations breakdown →
9.
10.
Li, Liang, Xinge Zhu, Yiming Hao, et al.. (2019). A Hierarchical CNN-RNN Approach for Visual Emotion Classification. ACM Transactions on Multimedia Computing Communications and Applications. 15(3s). 1–17. 20 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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