Sheng Li

1.2k total citations
103 papers, 790 citations indexed

About

Sheng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Sheng Li has authored 103 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 21 papers in Biomedical Engineering. Recurrent topics in Sheng Li's work include Sparse and Compressive Sensing Techniques (17 papers), Hydraulic and Pneumatic Systems (17 papers) and Blind Source Separation Techniques (10 papers). Sheng Li is often cited by papers focused on Sparse and Compressive Sensing Techniques (17 papers), Hydraulic and Pneumatic Systems (17 papers) and Blind Source Separation Techniques (10 papers). Sheng Li collaborates with scholars based in China, United States and United Kingdom. Sheng Li's co-authors include Xiongxiong He, Huang Bai, Jiajia Chen, Jian Ruan, Jinhui Zhu, Thomas F. George, Liping Chang, Zhihui Zhu, Yu Huang and Matteo De Marco and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Optics Express.

In The Last Decade

Sheng Li

84 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheng Li China	16	215	193	144	125	117	103	790
Hao Shen Germany	14	259 1.2×	142 0.7×	121 0.8×	177 1.4×	95 0.8×	45	1.0k
Fei Xie China	17	196 0.9×	188 1.0×	101 0.7×	43 0.3×	52 0.4×	86	775
Abdullah M. Dobaie Saudi Arabia	17	321 1.5×	202 1.0×	52 0.4×	41 0.3×	84 0.7×	32	983
Vikas Singh India	12	246 1.1×	165 0.9×	38 0.3×	80 0.6×	37 0.3×	48	714
Shuting Cai China	18	665 3.1×	230 1.2×	77 0.5×	66 0.5×	124 1.1×	124	1.2k
Zhiquan He China	16	491 2.3×	168 0.9×	70 0.5×	63 0.5×	90 0.8×	66	1.1k
Oscar Ibarra‐Manzano Mexico	15	76 0.4×	203 1.1×	73 0.5×	32 0.3×	148 1.3×	124	739
Olac Fuentes United States	14	367 1.7×	236 1.2×	33 0.2×	44 0.4×	116 1.0×	70	833
Ram Narayan Yadav India	15	193 0.9×	340 1.8×	54 0.4×	32 0.3×	126 1.1×	57	1.1k
Alfredo Gardel Spain	20	536 2.5×	142 0.7×	67 0.5×	57 0.5×	149 1.3×	104	1.2k

Countries citing papers authored by Sheng Li

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Li

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

Sheng, Weiguo, et al.. (2025). Peak-Padding: Clustering by Padding Density Peaks With the Minimum Padding Cost. IEEE Transactions on Neural Networks and Learning Systems. 37(1). 342–356.

Li, Sheng, et al.. (2025). DMFI-Net : Dual-branch multi-scale feature interaction network integrating transformer and CNN-Wavelet for image classification of colorectal polyps. Biomedical Signal Processing and Control. 106. 107753–107753. 1 indexed citations

Zhu, Feng, et al.. (2025). Radial search-based graph clustering method. Neurocomputing. 655. 131421–131421.

Li, Sheng, et al.. (2024). A survey of deep learning algorithms for colorectal polyp segmentation. Neurocomputing. 614. 128767–128767. 5 indexed citations

Chen, Jiashu, et al.. (2024). Multi-Scale Boundary Perception Cascaded Segmentation Network for Pancreatic Lesione. 1143–1148.

Li, Sheng, et al.. (2024). Y-Graph: A Max-Ascent-Angle Graph for Detecting Clusters. IEEE Transactions on Knowledge and Data Engineering. 37(1). 542–556.

He, Xiongxiong, et al.. (2024). Data-Driven Control for Magnetic Actuation Capsule: Dynamic Compensation and Input Constraints. IEEE Transactions on Automation Science and Engineering. 22. 4121–4133. 1 indexed citations

Li, Sheng, et al.. (2023). DEMOS: Clustering by Pruning a Density-Boosting Cluster Tree of Density Mounts. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10814–10830. 12 indexed citations

Li, Sheng, et al.. (2022). SMMP: A Stable-Membership-Based Auto-Tuning Multi-Peak Clustering Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 6307–6319. 22 indexed citations

10.

Li, Sheng, et al.. (2022). A TUMOR-IMMUNE MODEL WITH MIXED IMMUNOTHERAPY AND CHEMOTHERAPY: QUALITATIVE ANALYSIS AND OPTIMAL CONTROl. Journal of Biological Systems. 30(2). 339–364. 2 indexed citations

11.

Li, Sheng, et al.. (2022). Exploiting prior knowledge in compressed sensing to design robust systems for endoscopy image recovery. Journal of the Franklin Institute. 359(6). 2710–2736. 3 indexed citations

12.

Bai, Huang, et al.. (2022). Unit-norm tight frame-based sparse representation with application to speech inpainting. Digital Signal Processing. 123. 103426–103426. 3 indexed citations

13.

Li, Sheng, et al.. (2021). Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. arXiv (Cornell University). 764–772. 1 indexed citations

14.

Li, Sheng, et al.. (2021). A novel clustering algorithm by adaptively merging sub-clusters based on the Normal-neighbor and Merging force. Pattern Analysis and Applications. 24(3). 1231–1248. 2 indexed citations

15.

Li, Sheng, et al.. (2021). Peak-Graph-Based Fast Density Peak Clustering for Image Segmentation. IEEE Signal Processing Letters. 28. 897–901. 28 indexed citations

16.

Huang, Yu, et al.. (2021). Effect of clearance on volumetric efficiency in 2D piston pumps. Advances in Mechanical Engineering. 13(10). 6 indexed citations

17.

He, Dongwei, et al.. (2020). Intestinal Polyp Recognition Based on Salient Codebook Locality-Constrained Linear Coding with Annular Spatial Pyramid Matching. Journal of Medical and Biological Engineering. 40(4). 473–483. 1 indexed citations

18.

Li, Sheng, et al.. (2019). Design of Compressed Sensing System With Probability-Based Prior Information. IEEE Transactions on Multimedia. 22(3). 594–609. 17 indexed citations

19.

Bai, Huang, et al.. (2016). An Efficient Algorithm for Learning Dictionary under Coherence Constraint. Mathematical Problems in Engineering. 2016. 1–11. 2 indexed citations

20.

Wang, Rui, et al.. (2013). Novel Direction-Adaptive Based Reduced-Rank Beamforming Algorithm. 1–4.

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