Kun Su

3.6k total citations · 1 hit paper
28 papers, 2.0k citations indexed

About

Kun Su is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Kun Su has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 9 papers in Epidemiology and 7 papers in Modeling and Simulation. Recurrent topics in Kun Su's work include Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (7 papers) and Viral Infections and Vectors (5 papers). Kun Su is often cited by papers focused on Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (7 papers) and Viral Infections and Vectors (5 papers). Kun Su collaborates with scholars based in China, United States and Australia. Kun Su's co-authors include Jingfu Qiu, Yong Zhang, Ailong Huang, Bo Wu, Qin Li, Juan Chen, Haijun Deng, Fan Zhang, Quanxin Long and Jieli Hu and has published in prestigious journals such as Nature Medicine, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Kun Su

26 papers receiving 2.0k citations

Hit Papers

Clinical and immunological assessment of asymptomatic SAR... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Su China 10 1.6k 404 318 162 124 28 2.0k
Zhiliang Hu China 16 1.7k 1.1× 339 0.8× 309 1.0× 342 2.1× 255 2.1× 69 2.4k
Jonathan Daniel Ip Hong Kong 18 1.3k 0.8× 223 0.6× 130 0.4× 134 0.8× 247 2.0× 35 1.6k
Antonia Ho United Kingdom 13 1.2k 0.7× 447 1.1× 184 0.6× 473 2.9× 133 1.1× 29 1.9k
Pauline Vetter Switzerland 16 1.1k 0.7× 211 0.5× 167 0.5× 215 1.3× 125 1.0× 30 1.5k
Chang Kyung Kang South Korea 23 1.1k 0.7× 131 0.3× 277 0.9× 218 1.3× 197 1.6× 95 1.7k
Victoria Indenbaum Israel 18 1.7k 1.1× 236 0.6× 183 0.6× 113 0.7× 153 1.2× 53 1.9k
KI Law China 7 1.5k 0.9× 251 0.6× 323 1.0× 320 2.0× 129 1.0× 9 2.0k
Wan-Mui Chan Hong Kong 16 1.1k 0.7× 173 0.4× 103 0.3× 128 0.8× 157 1.3× 26 1.4k

Countries citing papers authored by Kun Su

Since Specialization
Citations

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

Fields of papers citing papers by Kun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Su. A scholar is included among the top collaborators of Kun Su 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 Kun Su. Kun Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Qiu-Hong, Bo Tang, Wei Dong, et al.. (2025). Inhibition of miR-155 attenuates dendritic cell maturation and skin allograft rejection through SOCS1 in a rhesus monkey model. Central European Journal of Immunology. 50(1). 52–76.
2.
Guo, Xiaohao, et al.. (2024). Predicting influenza in China from October 1, 2023, to February 5, 2024: A transmission dynamics model based on population migration. Infectious Disease Modelling. 10(1). 139–149. 1 indexed citations
4.
Zhao, Han, et al.. (2022). Forecasting the monthly incidence of scarlet fever in Chongqing, China using the SARIMA model. Epidemiology and Infection. 150. e90–e90. 8 indexed citations
5.
Ye, Sheng, Hongjun Zhang, Dan‐dan Ruan, et al.. (2022). Possible transmission of COVID‐19 epidemic by a dog as a passive mechanical carrier of SARS‐CoV‐2, Chongqing, China, 2022. Journal of Medical Virology. 95(1). e28408–e28408. 4 indexed citations
6.
Liu, Tian, Yuan Gao, Wenge Tang, et al.. (2022). Effect of absolute humidity on influenza activity across different climate regions in China. Environmental Science and Pollution Research. 29(32). 49373–49384. 7 indexed citations
7.
You, Chenyu, Kun Su, Xiaoran Zhang, et al.. (2022). Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. Lecture notes in computer science. 13573. 3–16. 48 indexed citations
8.
Zhang, Hong, Kun Su, & Xiaoni Zhong. (2022). Association between Meteorological Factors and Mumps and Models for Prediction in Chongqing, China. International Journal of Environmental Research and Public Health. 19(11). 6625–6625. 4 indexed citations
9.
Long, Quanxin, Qin Li, Haijun Deng, et al.. (2020). Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections. Nature Medicine. 26(8). 1200–1204. 1695 indexed citations breakdown →
10.
Su, Kun, Yafei Li, Han Zhao, et al.. (2020). Surveillance data of rabies in Chongqing, 2018. 35(2). 110–113. 1 indexed citations
11.
Shi, Qiuling, Yaoyue Hu, Bin Peng, et al.. (2020). Effective control of SARS-CoV-2 transmission in Wanzhou, China. Nature Medicine. 27(1). 86–93. 51 indexed citations
12.
Gao, Yuan, Jun Yang, Xianbin Ding, et al.. (2020). The burden of influenza and pneumonia mortality attributable to absolute humidity among elderly people in Chongqing, China, 2012–2018. The Science of The Total Environment. 716. 136682–136682. 26 indexed citations
13.
Su, Kun & Eli Shlizerman. (2019). Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks.. arXiv (Cornell University). 1 indexed citations
14.
Li, Qi, Kun Su, Yu Xia, et al.. (2019). Enterovirus 71 vaccine acceptance among parents of children < 5 years old and their knowledge of hand, foot and mouth disease, Chongqing, China, 2017. PLoS ONE. 14(11). e0225569–e0225569. 15 indexed citations
15.
Su, Kun, Sheng Ye, Qin Li, et al.. (2019). Influenza A(H7N9) virus emerged and resulted in human infections in Chongqing, southwestern China since 2017. International Journal of Infectious Diseases. 81. 244–250. 5 indexed citations
16.
Li, Qi, Kun Su, Tao Shen, et al.. (2018). Epidemiological characteristics and post-exposure prophylaxis of human rabies in Chongqing, China, 2007–2016. BMC Infectious Diseases. 18(1). 6–6. 43 indexed citations
17.
Li, Qi, Wenge Tang, Han Zhao, et al.. (2018). Epidemiological Characteristics and Spatial-Temporal Distribution of Hand, Foot, and Mouth Disease in Chongqing, China, 2009–2016. International Journal of Environmental Research and Public Health. 15(2). 270–270. 22 indexed citations
18.
Sun, Dali, Shumin Li, Qingwen Xu, et al.. (2017). Accuracy of using serum D-dimer for diagnosis of acute intestinal ischemia. Medicine. 96(13). e6380–e6380. 16 indexed citations
19.
Ren, Shiyu, et al.. (2016). A Low Computational Complexity Algorithm for Compressive Wideband Spectrum Sensing. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E100.A(1). 294–300. 4 indexed citations
20.
Yao, Hang, Wei Liang, Nan Wu, et al.. (2014). Viral genome and antiviral drug sensitivity analysis of two patients from a family cluster caused by the influenza A(H7N9) virus in Zhejiang, China, 2013. International Journal of Infectious Diseases. 29. 254–258. 7 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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