Shi‐Min Cai

1.8k total citations
113 papers, 1.3k citations indexed

About

Shi‐Min Cai is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Shi‐Min Cai has authored 113 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Statistical and Nonlinear Physics, 24 papers in Computer Networks and Communications and 19 papers in Artificial Intelligence. Recurrent topics in Shi‐Min Cai's work include Complex Network Analysis Techniques (64 papers), Opinion Dynamics and Social Influence (52 papers) and Complex Systems and Time Series Analysis (18 papers). Shi‐Min Cai is often cited by papers focused on Complex Network Analysis Techniques (64 papers), Opinion Dynamics and Social Influence (52 papers) and Complex Systems and Time Series Analysis (18 papers). Shi‐Min Cai collaborates with scholars based in China, United States and Switzerland. Shi‐Min Cai's co-authors include Wei Wang, Ming Tang, Tao Zhou, Xiaolong Chen, Pei-Ling Zhou, Ying‐Cheng Lai, Xuzhen Zhu, H. Eugene Stanley, Ruijie Wang and Zhi-Dan Zhao and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Shi‐Min Cai

104 papers receiving 1.2k citations

Peers

Shi‐Min Cai

SNP

CNC

J. G. Oliveira Portugal

Ingo Scholtes Germany

Zhesi Shen China

Xiu‐Xiu Zhan China

Liming Pan China

Jon Kleinberg United States

Saulo D. S. Reis Brazil

Andrea Capocci Italy

Piotr Fronczak Poland

J. G. Oliveira Portugal

Shi‐Min Cai

779 ×0.9

SNP

48 ×0.3

121 ×0.7

CNC

181 ×1.1

62 ×0.4

Citations per year, relative to Shi‐Min Cai Shi‐Min Cai (= 1×) peers J. G. Oliveira

Countries citing papers authored by Shi‐Min Cai

Since Specialization

Citations

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

Fields of papers citing papers by Shi‐Min Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi‐Min Cai

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

All Works

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20 of 20 papers shown

Yao, Chi, et al.. (2025). Detection of surface water pollution with full absorption spectroscopy: Integrating 2D image conversion and ResNet for classification. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 344(Pt 2). 126705–126705.

Nakagawa, Satoshi, et al.. (2025). Enhanced Emotion Recognition in Conversations Through Hybrid Context Encoding and Latent Dependency Mining. IEEE Transactions on Affective Computing. 16(4). 3329–3341.

Wei, Chunchen, Shi‐Min Cai, Han Yang, & Yanru Zhang. (2025). Advanced deep learning-based methodology for multi-class diagnosis of wind turbine blade faults at the wind farm level. Engineering Applications of Artificial Intelligence. 160. 111801–111801. 1 indexed citations

Pan, Yi, et al.. (2025). Retrieval-enhanced, Adaptively Collaborative, and Temporal-aware user behavior comprehension for LLM-based sequential recommendation. Information Processing & Management. 63(1). 104354–104354.

Zeng, Zhuo, et al.. (2025). Optimizing surface defect detection with YOLOv9: the role of advanced backbone models. Frontiers in Artificial Intelligence. 8. 1675154–1675154.

Wang, Yan, et al.. (2024). Dual-Stream Pre-Training Transformer to Enhance Multimodal Learning for Social Media Prediction. 11450–11456. 2 indexed citations

Shen, Xixi, et al.. (2024). Multimodal Fake News Detection with Contrastive Learning and Optimal Transport. Frontiers in Computer Science. 6. 3 indexed citations

Guo, Jia, et al.. (2023). VLSM-Net: A Fusion Architecture for CT Image Segmentation. Applied Sciences. 13(7). 4384–4384. 5 indexed citations

Hu, Zheng, Shi‐Min Cai, Jun Wang, & Tao Zhou. (2023). Collaborative recommendation model based on multi-modal multi-view attention network: Movie and literature cases. Applied Soft Computing. 144. 110518–110518. 10 indexed citations

10.

Cai, Shi‐Min, et al.. (2023). Examining the impact of urban-rural spatial structure on mobility networks: A case study of taxis. Cities. 141. 104512–104512. 6 indexed citations

11.

Zhao, Zhi-Dan, et al.. (2023). Minimum taxi fleet algorithm considering human spatiotemporal behaviors. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(6). 1 indexed citations

12.

Tan, Rui, et al.. (2023). Revealing stock market risk from information flow based on transfer entropy: The case of Chinese A-shares. Physica A Statistical Mechanics and its Applications. 624. 128982–128982. 4 indexed citations

13.

Zhou, Zhou, et al.. (2023). Exploiting Behavior Multiplicity for Social Recommendation Via Graph Neural Networks. 1–6.

14.

Wang, Jun, et al.. (2022). Effects of the information-driven awareness on epidemic spreading on multiplex networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(7). 73123–73123. 10 indexed citations

15.

Wang, Jun, Shi‐Min Cai, & Tao Zhou. (2021). Immunization of Cooperative Spreading Dynamics on Complex Networks. Complexity. 2021(1). 5 indexed citations

16.

Chen, Xiaolong, et al.. (2021). Coupled Dynamic Model of Resource Diffusion and Epidemic Spreading in Time‐Varying Multiplex Networks. Complexity. 2021(1). 16 indexed citations

17.

Cai, Shi‐Min, et al.. (2019). Equivalence and its invalidation between non-Markovian and Markovian spreading dynamics on complex networks. Nature Communications. 10(1). 3748–3748. 43 indexed citations

18.

Cai, Shi‐Min, et al.. (2018). Accurate detection of hierarchical communities in complex networks based on nonlinear dynamical evolution. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(4). 43119–43119. 8 indexed citations

19.

Cai, Shi‐Min, et al.. (2017). Center of mass in complex networks. Scientific Reports. 7(1). 40982–40982. 3 indexed citations

20.

Yang, Hui, Ming Tang, Shi‐Min Cai, & Tao Zhou. (2016). Core-periphery structure in heterogeneous adaptive network and its inhibiting effect on epidemic spreading. Acta Physica Sinica. 65(5). 58901–58901. 2 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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