Ke-ke Shang

406 total citations
26 papers, 309 citations indexed

About

Ke-ke Shang is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ke-ke Shang has authored 26 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 6 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Ke-ke Shang's work include Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (15 papers) and Bioinformatics and Genomic Networks (6 papers). Ke-ke Shang is often cited by papers focused on Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (15 papers) and Bioinformatics and Genomic Networks (6 papers). Ke-ke Shang collaborates with scholars based in China, Australia and Saudi Arabia. Ke-ke Shang's co-authors include Michael Small, Xiao-Ke Xu, Weisheng Yan, Wang Yan, Jing Xiao, Min Ji, Chuanting Zhang, Jingping Qiao, Tao Jia and Bin Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Ke-ke Shang

22 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ke-ke Shang China	10	238	174	67	36	36	26	309
Xiaobin Rui China	11	219 0.9×	118 0.7×	20 0.3×	54 1.5×	69 1.9×	24	329
Yabing Yao China	11	317 1.3×	141 0.8×	57 0.9×	44 1.2×	50 1.4×	28	375
Alcides Viamontes Esquivel Sweden	4	190 0.8×	50 0.3×	34 0.5×	38 1.1×	19 0.5×	6	261
Zejun Sun China	13	408 1.7×	121 0.7×	43 0.6×	89 2.5×	23 0.6×	26	483
Federico Musciotto Italy	9	178 0.7×	47 0.3×	47 0.7×	43 1.2×	42 1.2×	22	320
Arnaud Sallaberry France	12	140 0.6×	106 0.6×	19 0.3×	45 1.3×	33 0.9×	37	350
Xiao-Long Ren China	8	271 1.1×	66 0.4×	17 0.3×	83 2.3×	33 0.9×	20	385
Amrita Namtirtha India	9	262 1.1×	59 0.3×	26 0.4×	63 1.8×	23 0.6×	15	317

Countries citing papers authored by Ke-ke Shang

Since Specialization

Citations

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

Fields of papers citing papers by Ke-ke Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke-ke Shang. 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 Ke-ke Shang. The network helps show where Ke-ke Shang may publish in the future.

Co-authorship network of co-authors of Ke-ke Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke-ke Shang. A scholar is included among the top collaborators of Ke-ke Shang 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 Ke-ke Shang. Ke-ke Shang 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

Small, Michael, et al.. (2025). Machine learning informed by micro- and mesoscopic statistical physics methods for community detection. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(7).

Shang, Ke-ke, et al.. (2024). Dynamics of sexually transmitted diseases with multi-pathway transmission and sex-based contact patterns. Physica A Statistical Mechanics and its Applications. 658. 130273–130273.

Wang, Yan, et al.. (2024). Propagation Dynamics of an Epidemic Model with Heterogeneous Control Strategies on Complex Networks. Symmetry. 16(2). 166–166. 1 indexed citations

Small, Michael, et al.. (2024). Information cascade prediction of complex networks based on physics-informed graph convolutional network. New Journal of Physics. 26(1). 13031–13031. 14 indexed citations

Liu, Lixiang, et al.. (2023). Global stability and optimal control of epidemics in heterogeneously structured populations exhibiting adaptive behavior. Communications in Nonlinear Science and Numerical Simulation. 126. 107500–107500. 6 indexed citations

Ye, Na, et al.. (2023). Graph Convolutional-Based Deep Residual Modeling for Rumor Detection on Social Media. Mathematics. 11(15). 3393–3393. 4 indexed citations

Liu, Siyuan, et al.. (2022). Predicting future links with new nodes in temporal academic networks. Journal of Physics Complexity. 3(1). 15006–15006. 11 indexed citations

Yang, Bin, et al.. (2022). Information overload: How hot topics distract from news--COVID-19 spread in the US. SHILAP Revista de lepidopterología. 2(6). 20220051–20220051. 9 indexed citations

Zhang, Yaotian, et al.. (2022). Peeking Strategy for Online News Diffusion Prediction Via Machine Learning. SSRN Electronic Journal. 2 indexed citations

10.

Shang, Ke-ke, et al.. (2020). Growing networks with communities: A distributive link model. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(4). 41101–41101. 21 indexed citations

11.

Huang, Jinlong, Ru Xu, Dongdong Cheng, Sulan Zhang, & Ke-ke Shang. (2019). A Novel Hybrid Clustering Algorithm Based on Minimum Spanning Tree of Natural Core Points. IEEE Access. 7. 43707–43720. 9 indexed citations

12.

Shang, Ke-ke, et al.. (2019). Link prediction for tree-like networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(6). 61103–61103. 55 indexed citations

13.

Shang, Ke-ke, et al.. (2017). The role of direct links for link prediction in evolving networks. Europhysics Letters (EPL). 117(2). 28002–28002. 33 indexed citations

14.

Shang, Ke-ke, et al.. (2017). Fitness networks for real world systems via modified preferential attachment. Physica A Statistical Mechanics and its Applications. 474. 49–60. 18 indexed citations

15.

Shang, Ke-ke, Weisheng Yan, & Michael Small. (2016). Evolving networks—Using past structure to predict the future. Physica A Statistical Mechanics and its Applications. 455. 120–135. 28 indexed citations

16.

Shang, Ke-ke, et al.. (2016). Link direction for link prediction. Physica A Statistical Mechanics and its Applications. 469. 767–776. 39 indexed citations

17.

Shang, Ke-ke. (2014). Construction and Application for Null Models of Complex Networks Based on Randomized Algorithms. Dianzi Ke-ji Daxue xuebao. 5 indexed citations

18.

Shang, Ke-ke, Weisheng Yan, & Xiao-Ke Xu. (2014). Limitation of degree information for analyzing the interaction evolution in online social networks. International Journal of Modern Physics C. 25(10). 1450056–1450056. 12 indexed citations

19.

Wang, Shan, et al.. (2012). Study on the nonlinear dynamic of ultrashort pulse propagation in noble gases. Chinese Optics Letters. 10(S2). S23201–S23201. 1 indexed citations

20.

Zhou, Peng, Dongdong Lin, Weizhong He, Guohui Li, & Ke-ke Shang. (2009). Influence of Musicotherapy on Mental Status and Cognitional Function of Patient with Depression Disease. 63. 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