Serena Yeung

7.2k total citations · 3 hit papers
47 papers, 2.8k citations indexed

About

Serena Yeung is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Serena Yeung has authored 47 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Surgery. Recurrent topics in Serena Yeung's work include Human Pose and Action Recognition (11 papers), Video Surveillance and Tracking Methods (5 papers) and Multimodal Machine Learning Applications (5 papers). Serena Yeung is often cited by papers focused on Human Pose and Action Recognition (11 papers), Video Surveillance and Tracking Methods (5 papers) and Multimodal Machine Learning Applications (5 papers). Serena Yeung collaborates with scholars based in United States, Canada and Japan. Serena Yeung's co-authors include Will Y. Zou, Quoc V. Le, Andrew Y. Ng, Li Fei-Fei, Shih-Cheng Huang, Matthew P. Lungren, Ali Madani, Nikhil Naik, Jeff Dean and Katherine Chou and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nature Communications.

In The Last Decade

Serena Yeung

43 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

Deep learning-enabled medical computer vision

2021 718 citations Serena Yeung, Ali Mottaghi et al. npj Digital Medicine profile →
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

2011 658 citations Serena Yeung et al. profile →
Self-supervised learning for medical image classification: a systematic review and implementation guidelines

2023 174 citations Shih-Cheng Huang, Anuj Pareek et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Serena Yeung United States	18	1.4k	1.0k	542	501	272	47	2.8k
Ali Sharif Razavian Sweden	11	2.4k 1.7×	1.2k 1.2×	439 0.8×	336 0.7×	194 0.7×	16	4.0k
Christopher Pal Canada	15	1.4k 1.0×	832 0.8×	685 1.3×	341 0.7×	83 0.3×	54	2.9k
Bernhard Kainz United Kingdom	24	1.5k 1.1×	1.1k 1.1×	1.5k 2.7×	521 1.0×	224 0.8×	91	4.0k
Tanveer Syeda-Mahmood United States	24	946 0.7×	688 0.7×	700 1.3×	301 0.6×	80 0.3×	143	2.4k
Jacinto C. Nascimento Portugal	26	1.4k 1.0×	1.1k 1.1×	802 1.5×	473 0.9×	69 0.3×	113	3.1k
KC Santosh United States	29	1.0k 0.7×	1.1k 1.1×	1.3k 2.5×	214 0.4×	94 0.3×	184	3.2k
Jun Shi China	31	779 0.6×	1.4k 1.4×	1.2k 2.2×	807 1.6×	103 0.4×	188	3.6k
Timor Kadir United Kingdom	20	2.8k 2.0×	565 0.6×	777 1.4×	486 1.0×	164 0.6×	64	4.3k
Kai Ma China	27	730 0.5×	717 0.7×	764 1.4×	317 0.6×	76 0.3×	118	2.5k
Chee‐Kong Chui Singapore	31	1.2k 0.8×	390 0.4×	410 0.8×	1.2k 2.4×	625 2.3×	202	3.9k

Countries citing papers authored by Serena Yeung

Since Specialization

Citations

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

Fields of papers citing papers by Serena Yeung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Yeung

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

Howard, Christopher J., Maria Xenochristou, Angjoo Kanazawa, et al.. (2025). Artificial intelligence–powered 3D analysis of video-based caregiver-child interactions. Science Advances. 11(8). eadp4422–eadp4422. 1 indexed citations

Wu, Gong‐Her, Hiren Patel, Liam Spillane, et al.. (2025). Cryogenic electron tomography and elemental analysis of mitochondrial granules in human retinal ganglion cells. Structure. 33(10). 1771–1780.e3.

Olsen, Griffin, Emmett D. Goodman, Eric C. Sorenson, et al.. (2025). Using artificial intelligence to model expert panel diagnosis of cholecystitis severity. Surgical Endoscopy. 39(10). 6560–6568.

Xenochristou, Maria, Malathi Srinivasan, Maja Artandi, et al.. (2024). Hospitalization prediction from the emergency department using computer vision AI with short patient video clips. npj Digital Medicine. 7(1). 371–371. 2 indexed citations

Huang, Shih-Cheng, Malte Jensen, Serena Yeung, et al.. (2024). Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines. medRxiv. 5 indexed citations

Nirschl, Jeffrey, et al.. (2024). Orientation-invariant autoencoders learn robust representations for shape profiling of cells and organelles. Nature Communications. 15(1). 1022–1022. 9 indexed citations

Mettes, Pascal, et al.. (2024). Hyperbolic Deep Learning in Computer Vision: A Survey. International Journal of Computer Vision. 132(9). 3484–3508. 9 indexed citations

Huang, Shih-Cheng, Anuj Pareek, Malte Jensen, et al.. (2023). Self-supervised learning for medical image classification: a systematic review and implementation guidelines. npj Digital Medicine. 6(1). 74–74. 174 indexed citations breakdown →

Zhang, Yuhui, Michihiro Yasunaga, Zhengping Zhou, et al.. (2023). Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. 7479–7498. 1 indexed citations

10.

Nakayama, Shinnosuke, Elizabeth R. Selig, Colette C. C. Wabnitz, et al.. (2023). Comparing spatial patterns of marine vessels between vessel-tracking data and satellite imagery. Frontiers in Marine Science. 9. 1 indexed citations

11.

Huang, Shih-Cheng, Akshay Chaudhari, Curtis P. Langlotz, et al.. (2022). Developing medical imaging AI for emerging infectious diseases. Nature Communications. 13(1). 18 indexed citations

12.

Goodman, Emmett D., Aaron J. Dawes, Micaela M. Esquivel, et al.. (2022). Using AI and computer vision to analyze technical proficiency in robotic surgery. Surgical Endoscopy. 37(4). 3010–3017. 20 indexed citations

13.

Holsinger, F. Christopher, Julia E. Noel, Jeffrey K. Jopling, et al.. (2021). Using deep learning to identify the recurrent laryngeal nerve during thyroidectomy. Scientific Reports. 11(1). 14306–14306. 17 indexed citations

14.

Glassman, Jill R., Kathryn L. Humphreys, Serena Yeung, et al.. (2021). Parents’ Perspectives on Using Artificial Intelligence to Reduce Technology Interference During Early Childhood: Cross-sectional Online Survey. Journal of Medical Internet Research. 23(3). e19461–e19461. 9 indexed citations

15.

Yeung, Serena, Jeffrey K. Jopling, Bingbin Liu, et al.. (2019). A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. npj Digital Medicine. 2(1). 11–11. 78 indexed citations

16.

Liu, Bingbin, Michelle Guo, Edward Chou, et al.. (2018). 3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities.. 17–29. 5 indexed citations

17.

Yeung, Serena, Jeffrey K. Jopling, N. Lance Downing, et al.. (2017). Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations

18.

Haque, Albert, Michelle Guo, Alexandre Alahi, et al.. (2017). Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 75–87. 7 indexed citations

19.

Yeung, Serena, Alexandre Alahi, Albert Haque, et al.. (2016). Vision-Based Hand Hygiene Monitoring in Hospitals. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6 indexed citations

20.

Haque, Albert, Boya Peng, Zelun Luo, et al.. (2016). Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback. arXiv (Cornell University). 5 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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