Sheng Lian

1.6k total citations · 2 hit papers
23 papers, 996 citations indexed

About

Sheng Lian is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sheng Lian has authored 23 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Sheng Lian's work include Advanced Neural Network Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian is often cited by papers focused on Advanced Neural Network Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian collaborates with scholars based in China, United States and Italy. Sheng Lian's co-authors include Zhiming Luo, Shaozi Li, Xiao Xiao, Zhun Zhong, Songzhi Su, Dazhen Lin, Fengxiang Yang, Shaohao Chen, Jun Wang and Gao‐Xue Wang and has published in prestigious journals such as Brain, Aquaculture and eLife.

In The Last Decade

Sheng Lian

22 papers receiving 982 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.

Weighted Res-UNet for High-Quality Retina Vessel Segmentation

2018 579 citations Xiao Xiao, Sheng Lian et al. profile →
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation

2024 57 citations Zhiming Luo, Sheng Lian et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Sheng Lian

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Lian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Lian. A scholar is included among the top collaborators of Sheng Lian 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 Sheng Lian. Sheng Lian 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	Assessment of information quality and reliability of short videos related to lumbar disc herniation on selected video platforms 2025 ·Digital Health ·Yuehua Wang, Sheng Lian, (unknown), (unknown)	0
2	Enhancing semi-supervised medical image segmentation with boundary awareness and Competitive Contrastive Learning 2025 ·Biomedical Signal Processing and Control ·(unknown), Zhen Li, (unknown), (unknown), Sheng Lian	2
3	AD-Det: Boosting Object Detection in UAV Images with Focused Small Objects and Balanced Tail Classes 2025 ·Remote Sensing ·Zhen Li, Sheng Lian, (unknown), Youlin Wang, Wei Liu	4
4	Reconstruct incomplete relation for incomplete modality brain tumor segmentation 2024 ·Neural Networks ·(unknown), Zhiming Luo, (unknown), Sheng Lian, Xuejuan Lin, Shaozi Li	2
5	Towards accurate abdominal tumor segmentation: A 2D model with Position-Aware and Key Slice Feature Sharing 2024 ·Computers in Biology and Medicine ·(unknown), Zhiming Luo, Sheng Lian, Songzhi Su, Shaozi Li	4
6	Mutual learning with reliable pseudo label for semi-supervised medical image segmentation breakdown → 2024 ·Medical Image Analysis ·(unknown), Zhiming Luo, Sheng Lian, Dazhen Lin, Shaozi Li	57
7	Age at onset mediates genetic impact on disease severity in facioscapulohumeral muscular dystrophy 2024 ·Brain ·(unknown), Ya‐Wen Lin, (unknown), Ying Zheng, Minghui Zeng, Xiaodan Lin, (unknown), (unknown), Long Chen, (unknown), (unknown), Lin Lin, Lili Wang, (unknown), Lin Feng, (unknown), Ning Wang, Min-Ting Lin, Sheng Lian, Zhiqiang Wang	3
8	Contour-aware consistency for semi-supervised medical image segmentation 2023 ·Biomedical Signal Processing and Control ·(unknown), Sheng Lian, Zhiming Luo, Beizhan Wang, Shaozi Li	8
9	Nocardia seriolae mediates liver granulomatous chronic inflammation in Micropterus salmoides through pyroptosis 2023 ·Journal of Fish Diseases ·(unknown), (unknown), (unknown), Bin Yang, Jun Wang, Sheng Lian, (unknown), Erlong Wang, Gao‐Xue Wang, Tao Liu	21
10	Nocardia seriolae mediates granulomatous chronic inflammation of spleen in Micropterus salmoides through necroptosis 2023 ·Aquaculture ·(unknown), (unknown), (unknown), (unknown), (unknown), Bin Yang, Sheng Lian, (unknown), Mengmeng Wang, (unknown), (unknown), Mingzhu Liu, Pengfei Li, Jun Wang, Erlong Wang, Gao‐Xue Wang, Fei Ling, Tao Liu	10
11	Consistency learning with dynamic weighting and class-agnostic regularization for semi-supervised medical image segmentation 2023 ·Biomedical Signal Processing and Control ·(unknown), Zhiming Luo, Sheng Lian, Dazhen Lin, Shaozi Li	4
12	Learning multi‐organ and tumor segmentation from partially labeled datasets by a conditional dynamic attention network 2023 ·Concurrency and Computation Practice and Experience ·(unknown), Sheng Lian, Dazhen Lin, Zhiming Luo, (unknown), Shaozi Li	2
13	Learning multi-organ segmentation via partial- and mutual-prior from single-organ datasets 2022 ·Biomedical Signal Processing and Control ·Sheng Lian, (unknown), Zhiming Luo, (unknown), (unknown), Shaozi Li	6
14	Symmetrical Supervision with Transformer for Few-shot Medical Image Segmentation 2022 ·2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ·(unknown), Zhiming Luo, Sheng Lian, (unknown), Shaozi Li, (unknown)	4
15	Applications of genetic-epigenetic tissue mapping for plasma DNA in prenatal testing, transplantation and oncology 2021 ·eLife ·Wanxia Gai, Ze Zhou, Sean Agbor-Enoh, Xiaodan Fan, Sheng Lian, Peiyong Jiang, Suk Hang Cheng, John Wong, Stephen L. Chan, Moon Kyoo Jang, Yanqin Yang, Raymond Liang, (unknown), Edmond S.K., Tak Yeung Leung, Rossa W. K. Chiu, Hannah A. Valantine, K.C. Allen Chan, Yuk Ming Dennis Lo	14
16	APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement 2021 ·Medical Image Analysis ·Sheng Lian, Zhiming Luo, Cheng Feng, Shaozi Li, Shuo Li	12
17	SERU: A cascaded SE‐ResNeXT U‐Net for kidney and tumor segmentation 2020 ·Concurrency and Computation Practice and Experience ·(unknown), (unknown), Sheng Lian, Shaohao Chen, Zhiming Luo	25
18	Leveraging Virtual and Real Person for Unsupervised Person Re-Identification 2019 ·IEEE Transactions on Multimedia ·Fengxiang Yang, Zhun Zhong, Zhiming Luo, Sheng Lian, Shaozi Li	30
19	Anchor Free Network for Multi-Scale Face Detection 2018 ·(unknown), Zhiming Luo, Sheng Lian, Shaozi Li	7
20	Weighted Res-UNet for High-Quality Retina Vessel Segmentation breakdown → 2018 ·Xiao Xiao, Sheng Lian, Zhiming Luo, Shaozi Li	579

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.

Explore authors with similar magnitude of impact