Shiwei Li

3.4k total citations · 2 hit papers
29 papers, 1.1k citations indexed

About

Shiwei Li is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computer Networks and Communications. According to data from OpenAlex, Shiwei Li has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Biophysics and 4 papers in Computer Networks and Communications. Recurrent topics in Shiwei Li's work include Advanced Vision and Imaging (8 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Shiwei Li is often cited by papers focused on Advanced Vision and Imaging (8 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Shiwei Li collaborates with scholars based in China, Hong Kong and France. Shiwei Li's co-authors include Long Quan, Tian Fang, Yao Yao, Zixin Luo, Tianwei Shen, Jiahui Zhang, Xuyang Bai, Lei Zhou, Hongkai Chen and Qingming Luo and has published in prestigious journals such as Nature Methods, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Shiwei Li

27 papers receiving 1.1k citations

Hit Papers

Recurrent MVSNet for High-Resolution Multi-View Stereo De... 2019 2026 2021 2023 2019 2020 100 200 300 400
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. Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
    2019 411 citations Yao Yao, Zixin Luo et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  2. ASLFeat: Learning Local Features of Accurate Shape and Localization
    2020 222 citations Zixin Luo, Lei Zhou et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers

Shiwei Li
Hossam Isack Canada
Ľubor Ladický United Kingdom
João Carreira United States
Yanghai Tsin United States
Yasuhiro Mukaigawa Japan
Zhengqin Li United States
Per-Erik Forssén Sweden
Tomasz Malisiewicz United States
Ameesh Makadia United States
Hossam Isack Canada
Shiwei Li
Citations per year, relative to Shiwei Li Shiwei Li (= 1×) peers Hossam Isack

Countries citing papers authored by Shiwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Shiwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Li. A scholar is included among the top collaborators of Shiwei Li 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 Shiwei Li. Shiwei Li 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.
Lian, Haojie, et al.. (2025). Underwater acoustic simulation from multi-view sonar images: A NeuS-assisted boundary element approach. Thin-Walled Structures. 219. 114180–114180. 1 indexed citations
2.
Chen, Chong, et al.. (2025). Research on computing task scheduling method for distributed heterogeneous parallel systems. Scientific Reports. 15(1). 8937–8937.
3.
Li, Shiwei, Qinyu Zhang, Guangshuai Wang, et al.. (2024). RailPC: A large‐scale railway point cloud semantic segmentation dataset. CAAI Transactions on Intelligence Technology. 9(6). 1548–1560. 2 indexed citations
4.
Wang, Hongcai, et al.. (2024). Schizandrin A attenuates early brain injury following subarachnoid hemorrhage through suppressing neuroinflammation. Molecular Biology Reports. 51(1). 236–236. 2 indexed citations
5.
Yang, Bisheng, Yongjun Wang, Lei Dai, et al.. (2023). RailSeg: Learning Local–Global Feature Aggregation With Contextual Information for Railway Point Cloud Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–29. 8 indexed citations
6.
Li, Shiwei, et al.. (2021). Lipid droplet recognition based on watershed algorithm and convolutional neural network. 56–61. 1 indexed citations
7.
Luo, Zixin, Lei Zhou, Xuyang Bai, et al.. (2020). ASLFeat: Learning Local Features of Accurate Shape and Localization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6588–6597. 222 indexed citations breakdown →
8.
Zhen, Mingmin, Jinglu Wang, Lei Zhou, et al.. (2020). Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13663–13672. 101 indexed citations
9.
Zhang, Jingyang, Yao Yao, Shiwei Li, Zixin Luo, & Tian Fang. (2020). Visibility-aware Multi-view Stereo Network. 10 indexed citations
10.
11.
Li, Shiwei, Tingwei Quan, Hang Zhou, et al.. (2019). Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites. Neuroinformatics. 17(4). 497–514. 14 indexed citations
12.
Li, Shiwei, Tingwei Quan, Xu Cheng, et al.. (2019). Optimization of Traced Neuron Skeleton Using Lasso-Based Model. Frontiers in Neuroanatomy. 13. 18–18. 14 indexed citations
13.
Yao, Yao, Zixin Luo, Shiwei Li, et al.. (2019). Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5520–5529. 411 indexed citations breakdown →
14.
Li, Shiwei, Yao Yao, Tian Fang, & Long Quan. (2018). Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves. 2887–2896. 25 indexed citations
15.
Zhou, Hao, et al.. (2017). Friend Recommendation Algorithm Based on Interest Classification with Time Decay. 3. 117–121. 1 indexed citations
16.
Quan, Tingwei, Hang Zhou, Shiwei Li, et al.. (2015). NeuroGPS-Tree: automatic reconstruction of large-scale neuronal populations with dense neurites. Nature Methods. 13(1). 51–54. 102 indexed citations
17.
Wu, Ningning, et al.. (2014). Mobile Nodes Deployment Scheme Design Based on Perceived Probability Model in Heterogeneous Wireless Sensor Network. Journal of Robotics and Mechatronics. 26(5). 616–621. 11 indexed citations
18.
Quan, Tingwei, Jing Li, Hang Zhou, et al.. (2014). Digital reconstruction of the cell body in dense neural circuits using a spherical-coordinated variational model. Scientific Reports. 4(1). 4970–4970. 12 indexed citations
19.
Quan, Tingwei, Ting Zheng, Zhongqing Yang, et al.. (2013). NeuroGPS: automated localization of neurons for brain circuits using L1 minimization model. Scientific Reports. 3(1). 1414–1414. 52 indexed citations
20.
Li, Naimin, et al.. (2010). Decision level fusion for pulse signal classification using multiple features. 2010 3rd International Conference on Biomedical Engineering and Informatics. 2008. 843–847. 10 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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