Kunpeng Mu

5.3k total citations · 1 hit paper
9 papers, 2.5k citations indexed

About

Kunpeng Mu is a scholar working on Modeling and Simulation, Infectious Diseases and Media Technology. According to data from OpenAlex, Kunpeng Mu has authored 9 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 3 papers in Infectious Diseases and 3 papers in Media Technology. Recurrent topics in Kunpeng Mu's work include COVID-19 epidemiological studies (5 papers), Advanced Image Fusion Techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Kunpeng Mu is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Advanced Image Fusion Techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Kunpeng Mu collaborates with scholars based in China, United States and Italy. Kunpeng Mu's co-authors include Marco Ajelli, Alessandro Vespignani, Matteo Chinazzi, Jessica T. Davis, Ana Pastore y Piontti, Luca Rossi, Kaiyuan Sun, Maria Litvinova, Stefano Merler and Cécile Viboud and has published in prestigious journals such as Nature, Science and PLoS Computational Biology.

In The Last Decade

Kunpeng Mu

8 papers receiving 2.4k 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.

The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak

2020 2.4k citations Matteo Chinazzi, Jessica T. Davis et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunpeng Mu China	4	1.6k	886	495	431	317	9	2.5k
Xinyue Xiong China	8	1.7k 1.0×	891 1.0×	503 1.0×	444 1.0×	323 1.0×	10	2.6k
Corrado Gioannini Italy	4	1.7k 1.1×	892 1.0×	514 1.0×	503 1.2×	338 1.1×	4	2.7k
Ruoran Li China	11	1.5k 0.9×	732 0.8×	392 0.8×	487 1.1×	227 0.7×	28	2.5k
Jessica T. Davis United States	10	1.8k 1.1×	968 1.1×	555 1.1×	528 1.2×	532 1.7×	19	3.4k
Maylis Layan France	6	1.4k 0.8×	664 0.7×	322 0.7×	402 0.9×	203 0.6×	10	2.0k
Brennan Klein United States	12	1.3k 0.8×	679 0.8×	289 0.6×	388 0.9×	234 0.7×	29	2.3k
Bernardo Gutiérrez Ecuador	15	2.1k 1.3×	1.1k 1.2×	809 1.6×	601 1.4×	307 1.0×	43	3.5k
Chia-Hung Yang United States	3	1.3k 0.8×	663 0.7×	275 0.6×	366 0.8×	201 0.6×	7	2.0k
Nick Ruktanonchai United States	24	1.2k 0.7×	439 0.5×	471 1.0×	450 1.0×	190 0.6×	45	2.3k
Kaiyuan Sun United States	17	2.5k 1.5×	1.1k 1.2×	1.1k 2.3×	738 1.7×	408 1.3×	28	4.0k

Countries citing papers authored by Kunpeng Mu

Since Specialization

Citations

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

Fields of papers citing papers by Kunpeng Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunpeng Mu

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

9 of 9 papers shown

1.

Mu, Kunpeng, Wenqing Wang, Mingze Gao, & Han Liu. (2025). Replacing complex transformer with simple attention to achieve hyperspectral and multispectral image fusion. Engineering Applications of Artificial Intelligence. 160. 111959–111959.

2.

Mu, Kunpeng, Wenqing Wang, Han Liu, Lili Liang, & Shuang Zhang. (2025). A Dual-Branch Network of Strip Convolution and Swin Transformer for Multimodal Remote Sensing Image Registration. Remote Sensing. 17(6). 1071–1071. 1 indexed citations

3.

Mu, Kunpeng, et al.. (2025). A Multihierarchy Flow Field Prediction Network for Multimodal Remote Sensing Image Registration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 5232–5243. 2 indexed citations

4.

Wang, Wenqing, et al.. (2024). MDSCNN: Remote Sensing Image Spatial–Spectral Fusion Method via Multi-Scale Dual-Stream Convolutional Neural Network. Remote Sensing. 16(19). 3583–3583. 3 indexed citations

5.

Gozzi, Nicolò, Matteo Chinazzi, Jessica T. Davis, et al.. (2024). Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach. Epidemics. 49. 100805–100805. 1 indexed citations

6.

Chinazzi, Matteo, Jessica T. Davis, Ana Pastore y Piontti, et al.. (2024). A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US. Epidemics. 47. 100757–100757. 5 indexed citations

7.

Gozzi, Nicolò, Matteo Chinazzi, Jessica T. Davis, et al.. (2022). Anatomy of the first six months of COVID-19 vaccination campaign in Italy. PLoS Computational Biology. 18(5). e1010146–e1010146. 12 indexed citations

8.

Davis, Jessica T., Matteo Chinazzi, Nicola Perra, et al.. (2021). Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave. Nature. 600(7887). 127–132. 70 indexed citations

9.

Chinazzi, Matteo, Jessica T. Davis, Marco Ajelli, et al.. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science. 368(6489). 395–400. 2411 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.

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