Shiwei Li

1.5k total citations · 1 hit paper
31 papers, 835 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 31 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Biophysics and 5 papers in Computer Networks and Communications. Recurrent topics in Shiwei Li's work include Advanced Fluorescence Microscopy Techniques (8 papers), Cell Image Analysis Techniques (7 papers) and Advanced Vision and Imaging (6 papers). Shiwei Li is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (8 papers), Cell Image Analysis Techniques (7 papers) and Advanced Vision and Imaging (6 papers). Shiwei Li collaborates with scholars based in China, Hong Kong and United States. Shiwei Li's co-authors include Yao Yao, Tian Fang, Zixin Luo, Long Quan, Jingyang Zhang, Lei Zhou, Yufan Ren, Jiahui Zhang, Tianwei Shen and Shaoqun Zeng and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Shiwei Li

30 papers receiving 819 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.

BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks

2020 261 citations Yao Yao, Zixin Luo et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers

Shiwei Li

CVPR

GEOLO

BIOPH

CGCD

Xiaoshuai Zhang China

Ayan Chakrabarti United States

Y. Lamdan United States

Dongbo Min South Korea

Michael Tao United States

Luca Cosmo Italy

Raif M. Rustamov United States

Jon Hasselgren Sweden

Cengiz Öztireli Switzerland

Peter Sander France

Xiaoshuai Zhang China

Shiwei Li

604 ×1.2

CVPR

76 ×0.4

64 ×0.6

GEOLO

7 ×0.1

BIOPH

336 ×3.0

CGCD

Citations per year, relative to Shiwei Li Shiwei Li (= 1×) peers Xiaoshuai Zhang

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Shufang, et al.. (2025). A distributed hybrid model for agricultural water-land resource matching. Agricultural Water Management. 318. 109693–109693. 1 indexed citations

Li, Shiwei, et al.. (2025). Targeting CDK 9 With Harmine Induces Homologous Recombination Deficiency and Synergizes With PARP Inhibitors in Ovarian Cancer. Phytotherapy Research. 39(8). 3648–3663.

Li, Shiwei, et al.. (2025). MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling. Acta Pharmacologica Sinica. 46(5). 1462–1475. 1 indexed citations

Wang, Lin, Hao Yang, Shiwei Li, et al.. (2024). Conformational Space Profiling Enhances Generic Molecular Representation for AI‐Powered Ligand‐Based Drug Discovery. Advanced Science. 11(40). e2403998–e2403998. 13 indexed citations

Zhang, Jingyang, et al.. (2024). Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8744–8753. 4 indexed citations

Zhang, Ruxue, Qiaoyu Hu, Hui Li, et al.. (2023). Discovery, synthesis and mechanism study of 2,3,5-substituted [1,2,4]-thiadiazoles as covalent inhibitors targeting 3C-Like protease of SARS-CoV-2. European Journal of Medicinal Chemistry. 249. 115129–115129. 11 indexed citations

Zhang, Jingyang, Yao Yao, Shiwei Li, et al.. (2023). NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3578–3587. 18 indexed citations

Li, Shiwei, Huifeng Guo, Lu Hou, et al.. (2023). Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4435–4443. 8 indexed citations

Li, Shiwei, et al.. (2023). Embedding Compression in Recommender Systems: A Survey. ACM Computing Surveys. 56(5). 1–21. 7 indexed citations

10.

Li, Shiwei, et al.. (2023). Mobile Edge Computing Tasking Offloading Strategy in Cell-Free Massive MIMO with Graph Neural Network. 1–3. 1 indexed citations

11.

Li, Shiwei, et al.. (2022). Recent advances in predicting protein–protein interactions with the aid of artificial intelligence algorithms. Current Opinion in Structural Biology. 73. 102344–102344. 28 indexed citations

12.

Zhou, Hang, Ruiyao Cai, Tingwei Quan, et al.. (2020). 3D high resolution generative deep-learning network for fluorescence microscopy imaging. Optics Letters. 45(7). 1695–1695. 17 indexed citations

13.

Yao, Yao, Zixin Luo, Shiwei Li, et al.. (2020). BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1787–1796. 261 indexed citations breakdown →

14.

Zhou, Hang, Shiwei Li, Anan Li, et al.. (2020). GTree: an Open-source Tool for Dense Reconstruction of Brain-wide Neuronal Population. Neuroinformatics. 19(2). 305–317. 32 indexed citations

15.

Li, Shiwei, Tingwei Quan, Hang Zhou, et al.. (2019). Brain-Wide Shape Reconstruction of a Traced Neuron Using the Convex Image Segmentation Method. Neuroinformatics. 18(2). 199–218. 10 indexed citations

16.

Li, Shiwei, Tingwei Quan, Hang Zhou, et al.. (2019). Review of advances and prospects in neuron reconstruction. Chinese Science Bulletin (Chinese Version). 64(5-6). 532–545. 5 indexed citations

17.

Xie, Renping, et al.. (2018). A robust projection plane selection strategy for UAV image stitching. International Journal of Remote Sensing. 40(8). 3118–3138. 11 indexed citations

18.

Li, Shiwei, Hang Zhou, Tingwei Quan, et al.. (2016). SparseTracer: the Reconstruction of Discontinuous Neuronal Morphology in Noisy Images. Neuroinformatics. 15(2). 133–149. 17 indexed citations

19.

Li, Jing, Tingwei Quan, Shiwei Li, et al.. (2015). Reconstruction of micron resolution mouse brain surface from large-scale imaging dataset using resampling-based variational model. Scientific Reports. 5(1). 12782–12782. 2 indexed citations

20.

Xiong, Hanqing, Zhenqiao Zhou, Ming‐Qiang Zhu, et al.. (2014). Chemical reactivation of quenched fluorescent protein molecules enables resin-embedded fluorescence microimaging. Nature Communications. 5(1). 3992–3992. 69 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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