Sen Yang

3.2k total citations · 2 hit papers
57 papers, 1.2k citations indexed

About

Sen Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sen Yang has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sen Yang's work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Smart Agriculture and AI (8 papers). Sen Yang is often cited by papers focused on AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Smart Agriculture and AI (8 papers). Sen Yang collaborates with scholars based in China, United States and Hong Kong. Sen Yang's co-authors include Xiyue Wang, Xiao Han, Jun Zhang, Minghui Wang, Wei Yang, Junzhou Huang, Jing Zhang, Jing Zhang, Yuqi Fang and Jinxi Xiang and has published in prestigious journals such as Nature, Nature Communications and British Journal of Cancer.

In The Last Decade

Sen Yang

51 papers receiving 1.1k 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.

Transformer-based unsupervised contrastive learning for histopathological image classification

2022 283 citations Xiyue Wang, Sen Yang et al. Medical Image Analysis profile →
A vision–language foundation model for precision oncology

2025 48 citations Jinxi Xiang, Xiyue Wang et al. Nature profile →

Peers

Countries citing papers authored by Sen Yang

Since Specialization

Citations

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

Fields of papers citing papers by Sen Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Yang

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

#	Work	Indexed citations
1	A vision–language foundation model for precision oncology breakdown → 2025 ·Nature ·Jinxi Xiang, Xiyue Wang, Xiaoming Zhang, (unknown), Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin P. Bergstrom, (unknown), Ted Kim, Kun‐Hsing Yu, Sierra Hewett, (unknown), Jeffrey Nirschl, Joel W. Neal, Maximilian Diehn, Sen Yang, Ruijiang Li	48
2	Estimation of Potato Growth Parameters Under Limited Field Data Availability by Integrating Few-Shot Learning and Multi-Task Learning 2025 ·Agriculture ·Sen Yang, Quan Feng, (unknown), (unknown)	0
3	EMSAM: enhanced multi-scale segment anything model for leaf disease segmentation 2025 ·Frontiers in Plant Science ·(unknown), Quan Feng, Jianhua Zhang, Sen Yang	2
4	Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs 2024 ·Briefings in Bioinformatics ·Xiaorong Tan, Qianhui Liu, (unknown), Sen Yang, Fei Chen, Jianmin Wang, Defang Ouyang, Jie Dong, Wenbin Zeng	8
5	Prune-FSL: Pruning-Based Lightweight Few-Shot Learning for Plant Disease Identification 2024 ·Agronomy ·Wenbo Yan, Quan Feng, Sen Yang, Jianhua Zhang, (unknown)	4
6	Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading 2024 ·Computational and Structural Biotechnology Journal ·(unknown), Xiyue Wang, Jinxi Xiang, Sen Yang, (unknown), (unknown), Jun Zhang, Junhan Zhao, Xiao Han, Yuhan Dong, Biyue Zhu, Fang Wang, Yueping Liu	9
7	Potato Malformation Identification and Classification Based on Improved YOLOv3 Algorithm 2023 ·Electronics ·(unknown), (unknown), Yan Liu, Xiaoping Yang, (unknown), Sen Yang, Bin Feng, Wei Sun, Hongling Li	5
8	PhaseFIT: live-organoid phase-fluorescent image transformation via generative AI 2023 ·Light Science & Applications ·Junhan Zhao, Xiyue Wang, Junyou Zhu, (unknown), (unknown), Jun Zhang, Sen Yang, Shijie He, Nima Saeidi	10
9	Pregnant Patients with Sudden Sensorineural Hearing Loss: Treatments and Efficacy 2023 ·The Journal of International Advanced Otology ·Sen Yang, (unknown), (unknown), Wenqi Zuo	0
10	Knowledge Graph Construction and Representation Method for Potato Diseases and Pests 2023 ·Agronomy ·(unknown), Sen Yang, (unknown), Yan Liu, Jing Lü, Weiwei Yuan	3
11	CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images 2023 ·Neurocomputing ·Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Jun Zhang, (unknown), (unknown), Jun Cheng, Raymond Kai‐Yu Tong, Xiao Han	22
12	Deep learning-based pathology signature could reveal lymph node status and act as a novel prognostic marker across multiple cancer types 2023 ·British Journal of Cancer ·Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Wei Yang, Junhua Zheng, Xiao Han	6
13	The devil is in the details: a small-lesion sensitive weakly supervised learning framework for prostate cancer detection and grading 2023 ·Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin ·Zhongyi Yang, Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Xinran Wang, Wei Yang, Zhongyu Li, Xiao Han, Yueping Liu	8
14	DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning 2022 ·Genomics Proteomics & Bioinformatics ·Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han	8
15	RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval 2022 ·Medical Image Analysis ·Xiyue Wang, (unknown), Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han	116
16	Combining Radiology and Pathology for Automatic Glioma Classification 2022 ·Frontiers in Bioengineering and Biotechnology ·Xiyue Wang, Ruijie Wang, Sen Yang, Jun Zhang, Minghui Wang, Dexing Zhong, Jing Zhang, Xiao Han	15
17	Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images 2022 ·Computers in Biology and Medicine ·Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu	34
18	SK-Unet: An Improved U-Net Model With Selective Kernel for the Segmentation of LGE Cardiac MR Images 2021 ·IEEE Sensors Journal ·Xiyue Wang, Sen Yang, Yuqi Fang, Yunpeng Wei, Minghui Wang, Jing Zhang, Xiao Han	20
19	Automatic Segmentation of Pneumothorax in Chest Radiographs Based on a Two-Stage Deep Learning Method 2020 ·IEEE Transactions on Cognitive and Developmental Systems ·Xiyue Wang, Sen Yang, (unknown), Yuqi Fang, Jianhui He, Minghui Wang, Jing Zhang, Xiao Han	25
20	Grape leaves detection and tracking based on improved deformable part model and discriminative model. 2017 ·Nongye gongcheng xuebao ·Sen Yang, Quan Feng, (unknown), Rui Zhang	1

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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