Yuting He

3.1k total citations · 1 hit paper
36 papers, 1.3k citations indexed

About

Yuting He is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Yuting He has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Biomedical Engineering. Recurrent topics in Yuting He's work include Medical Image Segmentation Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Advanced X-ray and CT Imaging (6 papers). Yuting He is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Advanced X-ray and CT Imaging (6 papers). Yuting He collaborates with scholars based in China, Canada and United States. Yuting He's co-authors include Bo Wang, Lin Han, Chenyu You, Jun Ma, Shuo Li, Guanyu Yang, Jean-Louis Coatrieux, Yang Chen, Huazhong Shu and Rongjun Ge and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Yuting He

35 papers receiving 1.3k citations

Hit Papers

Segment anything in medical images 2024 2026 2025 2024 250 500 750
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. Segment anything in medical images
    2024 896 citations Jun Ma, Yuting He et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting He China 12 512 449 348 262 125 36 1.3k
Diana Mateus France 20 683 1.3× 492 1.1× 431 1.2× 259 1.0× 92 0.7× 63 1.5k
Mohammad Hesam Hesamian Australia 5 445 0.9× 517 1.2× 378 1.1× 224 0.9× 150 1.2× 11 1.3k
Caroline Essert France 15 435 0.8× 442 1.0× 293 0.8× 280 1.1× 52 0.4× 38 1.2k
Hong Song China 17 562 1.1× 444 1.0× 268 0.8× 315 1.2× 79 0.6× 182 1.4k
Muhammad Owais Pakistan 20 428 0.8× 485 1.1× 318 0.9× 115 0.4× 102 0.8× 94 1.2k
Lin Han China 12 426 0.8× 380 0.8× 372 1.1× 147 0.6× 109 0.9× 50 1.2k
Justin Ker Singapore 5 356 0.7× 537 1.2× 513 1.5× 176 0.7× 214 1.7× 6 1.3k
Jai Prashanth Rao Singapore 8 356 0.7× 555 1.2× 515 1.5× 190 0.7× 219 1.8× 19 1.3k
Rosalind Pratt United Kingdom 8 527 1.0× 405 0.9× 350 1.0× 198 0.8× 179 1.4× 15 1.1k

Countries citing papers authored by Yuting He

Since Specialization
Citations

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

Fields of papers citing papers by Yuting He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting He

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting He. A scholar is included among the top collaborators of Yuting He 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 Yuting He. Yuting He 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.
Chen, Zhaobin, Yuting He, Cuili Xiang, et al.. (2025). Hollow Metal‐Organic Framework‐Derived Layered NiS2/MXene Composites for High‐Performance Supercapacitors. ChemNanoMat. 11(5). 1 indexed citations
2.
He, Yuting, Boyu Wang, Rongjun Ge, et al.. (2025). Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 4122–4139. 1 indexed citations
3.
Zhang, Yun, Yuting He, Xuan He, Silin Huang, & Xue‐Qiang Wang. (2025). Long-Term and Highly Sensitive Detection of Singlet Oxygen in Vivo with a Single Methylenecyclobutane Afterglow Probe. CCS Chemistry. 7(11). 3460–3472. 1 indexed citations
4.
Ma, Jun, et al.. (2024). Segment anything in medical images. Nature Communications. 15(1). 654–654. 896 indexed citations breakdown →
5.
Xu, Kan, Yuting He, Jianjun Jin, et al.. (2023). CC16 as an Inflammatory Biomarker in Induced Sputum Reflects Chronic Obstructive Pulmonary Disease (COPD) Severity. International Journal of COPD. Volume 18. 705–717. 9 indexed citations
6.
Jiang, Ziyue Karen, Yuting He, Pengfei Shao, et al.. (2023). O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation. Knowledge-Based Systems. 265. 110378–110378. 8 indexed citations
7.
8.
Qian, Yi, et al.. (2022). Multi-scale error feedback network for low-light image enhancement. Neural Computing and Applications. 34(23). 21301–21317. 4 indexed citations
9.
Zhang, Shaobo, Guanyu Yang, Jian Qian, et al.. (2022). A novel 3D deep learning model to automatically demonstrate renal artery segmentation and its validation in nephron-sparing surgery. Frontiers in Oncology. 12. 997911–997911. 4 indexed citations
10.
Zhu, Zhihui, Kai Yang, & Yuting He. (2022). Research on Detection of Fertility of Group Hatching Eggs Based on Adaptive Image Segmentation. Applied Engineering in Agriculture. 38(2). 283–291. 3 indexed citations
11.
He, Yuting, Rongjun Ge, Xiaoming Qi, et al.. (2022). Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2588–2601. 24 indexed citations
12.
He, Yuting & Jiaojiao Zhao. (2021). Research on the Application of Virtual Reality Technology in Primary School Science Class. Advances in Educational Technology and Psychology. 5(1). 2 indexed citations
13.
Zhu, Xinglong, et al.. (2021). Liver Organoids: Formation Strategies and Biomedical Applications. Tissue Engineering and Regenerative Medicine. 18(4). 573–585. 40 indexed citations
14.
He, Yuting, Guanyu Yang, Jian Yang, et al.. (2021). Meta grayscale adaptive network for 3D integrated renal structures segmentation. Medical Image Analysis. 71. 102055–102055. 28 indexed citations
15.
Gao, Yuan, et al.. (2020). <p>Wnt3a Inhibitor Attenuates Remifentanil-Induced Hyperalgesia via Downregulating Spinal NMDA Receptor in Rats</p>. Journal of Pain Research. Volume 13. 1049–1058. 6 indexed citations
16.
He, Yuting, Guanyu Yang, Jian Yang, et al.. (2020). Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation. Medical Image Analysis. 63. 101722–101722. 48 indexed citations
17.
He, Yuting, Andreas Heilmann, Vincent A. Miller, et al.. (2020). Exceptional Response to Everolimus in a Patient with Metastatic Castrate-Resistant Prostate Cancer Harboring a PTEN Inactivating Mutation. Case Reports in Oncology. 13(1). 456–461. 4 indexed citations
18.
He, Yuting, Kan Xu, Yao Wang, et al.. (2019). AMPK as a potential pharmacological target for alleviating LPS-induced acute lung injury partly via NLRC4 inflammasome pathway inhibition. Experimental Gerontology. 125. 110661–110661. 16 indexed citations
19.
Zhang, Wenbiao, et al.. (2016). Predicting the amount of coke deposition on catalyst pellets through image analysis and soft computing. Measurement Science and Technology. 27(11). 114006–114006. 4 indexed citations
20.

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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