Shen Li-ming

669 total citations · 1 hit paper
8 papers, 493 citations indexed

About

Shen Li-ming is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Shen Li-ming has authored 8 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Shen Li-ming's work include Data Visualization and Analytics (5 papers), Data Management and Algorithms (3 papers) and Color perception and design (2 papers). Shen Li-ming is often cited by papers focused on Data Visualization and Analytics (5 papers), Data Management and Algorithms (3 papers) and Color perception and design (2 papers). Shen Li-ming collaborates with scholars based in China and Germany. Shen Li-ming's co-authors include Huaizhong Li, Dayou Liu, Huiling Chen, Bo Yang, Zhe Yu, Richen Liu, Xueyi Chen, Genlin Ji, Lijun Wang and Yimin Chen and has published in prestigious journals such as Knowledge-Based Systems, Archives of Computational Methods in Engineering and IEEE Transactions on Big Data.

In The Last Decade

Shen Li-ming

8 papers receiving 484 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.

Evolving support vector machines using fruit fly optimization for medical data classification

2016 449 citations Shen Li-ming, Huiling Chen et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shen Li-ming China	5	231	78	49	48	40	8	493
Zhe Yu China	2	224 1.0×	52 0.7×	49 1.0×	48 1.0×	40 1.0×	3	451
Rafael Gomes Mantovani Brazil	12	239 1.0×	76 1.0×	21 0.4×	30 0.6×	42 1.1×	34	594
Utkarsh Mahadeo Khaire India	7	251 1.1×	92 1.2×	25 0.5×	39 0.8×	32 0.8×	13	516
Chandrashekhar Azad India	8	206 0.9×	76 1.0×	38 0.8×	38 0.8×	49 1.2×	30	461
B. Venkatesh India	5	202 0.9×	74 0.9×	30 0.6×	25 0.5×	36 0.9×	20	475
Sanjukta De India	5	136 0.6×	58 0.7×	38 0.8×	12 0.3×	42 1.1×	11	525
Nailah Al–Madi Jordan	11	312 1.4×	80 1.0×	21 0.4×	47 1.0×	69 1.7×	26	548
Saptarshi Sengupta United States	10	206 0.9×	70 0.9×	15 0.3×	55 1.1×	83 2.1×	29	588
Pradip Dhal India	7	194 0.8×	75 1.0×	22 0.4×	32 0.7×	39 1.0×	13	386
Srishti Verma India	3	132 0.6×	58 0.7×	38 0.8×	12 0.3×	49 1.2×	5	491

Countries citing papers authored by Shen Li-ming

Since Specialization

Citations

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

Fields of papers citing papers by Shen Li-ming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Li-ming

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

8 of 8 papers shown

1.

Li-ming, Shen, et al.. (2023). eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features. IEEE Transactions on Big Data. 9(6). 1726–1737. 4 indexed citations

2.

Wang, Xiaohan, Chuyu Zhang, Yu Zhu, et al.. (2021). Hybrid Line-Based and Region-Based Interactive Set Data Visualization. 1–7. 2 indexed citations

3.

Li-ming, Shen, et al.. (2020). Domain-Specific Language Techniques for Visual Computing: A Comprehensive Study. Archives of Computational Methods in Engineering. 28(4). 3113–3134. 16 indexed citations

4.

Gao, Min, Lijun Wang, Yimin Chen, et al.. (2019). Interactive geological visualization based on quadratic-surface distance query. Journal of Electronic Imaging. 28(2). 1–1. 7 indexed citations

5.

Liu, Richen, et al.. (2019). Sketch-Based Slice Interpretative Visualization for Stratigraphic Data. Journal of Imaging Science and Technology. 63(6). 60505–1. 5 indexed citations

6.

Chen, Xueyi, et al.. (2019). A Survey of Multi-Space Techniques in Spatio-Temporal Simulation Data Visualization. Visual Informatics. 3(3). 129–139. 9 indexed citations

7.

Li-ming, Shen, et al.. (2018). An Ergonomic Research on the Staff Chair based on Fuzzy Synthetic Judgment. 21(2). 81. 1 indexed citations

8.

Li-ming, Shen, Huiling Chen, Zhe Yu, et al.. (2016). Evolving support vector machines using fruit fly optimization for medical data classification. Knowledge-Based Systems. 96. 61–75. 449 indexed citations breakdown →

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