Congming Shi

456 total citations · 1 hit paper
5 papers, 220 citations indexed

About

Congming Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Congming Shi has authored 5 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Congming Shi's work include Advanced Image Fusion Techniques (1 paper), Bayesian Methods and Mixture Models (1 paper) and Simulation and Modeling Applications (1 paper). Congming Shi is often cited by papers focused on Advanced Image Fusion Techniques (1 paper), Bayesian Methods and Mixture Models (1 paper) and Simulation and Modeling Applications (1 paper). Congming Shi collaborates with scholars based in China. Congming Shi's co-authors include Shoulin Wei, Wen Wang, Jialei Liu, Hai Liu, Hui Deng, Xinlei Zhou, Yingbo Liu, Wei Dai, Hui Deng and Yunfeng Peng and has published in prestigious journals such as Publications of the Astronomical Society of the Pacific, EURASIP Journal on Wireless Communications and Networking and Signal Image and Video Processing.

In The Last Decade

Congming Shi

4 papers receiving 217 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.

A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm

2021 215 citations Congming Shi, Shoulin Wei et al. EURASIP Journal on Wireless Communications and Networking profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Congming Shi China	2	45	22	19	15	15	5	220
Dauda Usman Nigeria	2	48 1.1×	32 1.5×	28 1.5×	13 0.9×	20 1.3×	4	286
Vatsal Patel India	4	72 1.6×	23 1.0×	18 0.9×	22 1.5×	22 1.5×	9	312
P. V. S. Srinivas India	4	66 1.5×	20 0.9×	18 0.9×	8 0.5×	10 0.7×	13	257
Atila Göktaş Türkiye	9	31 0.7×	9 0.4×	10 0.5×	14 0.9×	16 1.1×	22	324
Tadeusz Lasota Poland	6	93 2.1×	16 0.7×	16 0.8×	6 0.4×	41 2.7×	9	236
Indika Wickramasinghe United States	6	81 1.8×	12 0.5×	43 2.3×	19 1.3×	6 0.4×	16	289
Simone Borra Italy	5	65 1.4×	8 0.4×	12 0.6×	17 1.1×	18 1.2×	12	291
Zbigniew Telec Poland	3	59 1.3×	10 0.5×	12 0.6×	6 0.4×	9 0.6×	4	150
Rubén R. Fernández Spain	8	111 2.5×	19 0.9×	33 1.7×	7 0.5×	24 1.6×	13	258
Željko Vujović Montenegro	2	103 2.3×	16 0.7×	17 0.9×	15 1.0×	4 0.3×	2	318

Countries citing papers authored by Congming Shi

Since Specialization

Citations

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

Fields of papers citing papers by Congming Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congming Shi

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

5 of 5 papers shown

1.

Peng, Yunfeng, Guowei Gao, & Congming Shi. (2025). Learning a multi-scale vision Mamba for weather-degraded remote sensing image restoration. Signal Image and Video Processing. 19(4). 1 indexed citations

2.

Shi, Congming, et al.. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. EURASIP Journal on Wireless Communications and Networking. 2021(1). 215 indexed citations breakdown →

3.

Shi, Congming, et al.. (2017). High-performance Negative Database for Massive Data Management System of The Mingantu Spectral Radioheliograph. Publications of the Astronomical Society of the Pacific. 129(978). 84501–84501. 1 indexed citations

4.

Wei, Shoulin, Feng Wang, Hui Deng, et al.. (2016). OpenCluster: A Flexible Distributed Computing Framework for Astronomical Data Processing. Publications of the Astronomical Society of the Pacific. 129(972). 24001–24001. 3 indexed citations

5.

Zhou, Xinlei, Feng Wang, Hui Deng, et al.. (2015). Visualization Technology and Its Application for Massive Astronomical Data Analyses. 461. 105–108.

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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