Min Cai

596 total citations · 1 hit paper
22 papers, 433 citations indexed

About

Min Cai is a scholar working on Modeling and Simulation, Numerical Analysis and Signal Processing. According to data from OpenAlex, Min Cai has authored 22 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Modeling and Simulation, 6 papers in Numerical Analysis and 4 papers in Signal Processing. Recurrent topics in Min Cai's work include Fractional Differential Equations Solutions (9 papers), Differential Equations and Numerical Methods (5 papers) and Speech and Audio Processing (3 papers). Min Cai is often cited by papers focused on Fractional Differential Equations Solutions (9 papers), Differential Equations and Numerical Methods (5 papers) and Speech and Audio Processing (3 papers). Min Cai collaborates with scholars based in China, United States and Canada. Min Cai's co-authors include Changpin Li, George Em Karniadakis, Zhen Zhang, Xiaoning Zheng, Ehsan Kharazmi, Guang Lin, Kai Hwang, Yu Wang, Yue Kuen Kwok and Yan Li and has published in prestigious journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Mathematics and Computers in Simulation and Studies in Applied Mathematics.

In The Last Decade

Min Cai

19 papers receiving 417 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.

Theory and Numerical Approximations of Fractional Integrals and Derivatives

2019 193 citations Changpin Li, Min Cai profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Cai China	6	302	148	116	95	49	22	433
Dazhi Zhao China	7	379 1.3×	146 1.0×	203 1.8×	154 1.6×	37 0.8×	17	513
Wei‐Hua Luo China	9	253 0.8×	168 1.1×	79 0.7×	75 0.8×	47 1.0×	23	367
Mehmet Emir Köksal Türkiye	15	208 0.7×	220 1.5×	139 1.2×	146 1.5×	49 1.0×	52	475
Zailan Siri Malaysia	16	252 0.8×	156 1.1×	100 0.9×	84 0.9×	23 0.5×	89	865
J. J. Rosales Mexico	16	454 1.5×	156 1.1×	310 2.7×	104 1.1×	54 1.1×	57	810
Mehdi Delkhosh Iran	14	352 1.2×	252 1.7×	174 1.5×	52 0.5×	53 1.1×	46	479
Sharifah E. Alhazmi Saudi Arabia	16	206 0.7×	66 0.4×	156 1.3×	59 0.6×	42 0.9×	69	924
Marina Popolizio Italy	13	478 1.6×	358 2.4×	107 0.9×	145 1.5×	74 1.5×	26	645
Muhammet Kurulay Türkiye	12	353 1.2×	217 1.5×	158 1.4×	99 1.0×	66 1.3×	47	515
İ. Onur Kıymaz Türkiye	9	343 1.1×	152 1.0×	106 0.9×	208 2.2×	26 0.5×	26	467

Countries citing papers authored by Min Cai

Since Specialization

Citations

This map shows the geographic impact of 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 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 Min Cai more than expected).

Fields of papers citing papers by Min Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Min Cai. A scholar is included among the top collaborators of 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 Min Cai. Min Cai 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

1.

Cai, Min & Weiwei Tong. (2025). Nonuniform L1/spectral element algorithm for the time fractional diffusion equation. Mathematics and Computers in Simulation. 239. 361–375.

2.

Chen, Ziyi, Min Cai, & Changpin Li. (2025). Numerical Method for the Diffusion‐Wave Equation With Time Fractional ψ$\psi$‐Caputo Derivative. Studies in Applied Mathematics. 155(6).

3.

Cai, Min, et al.. (2024). Spectral deferred correction method for fractional initial value problem with Caputo–Hadamard derivative. Mathematics and Computers in Simulation. 226. 323–337. 2 indexed citations

4.

Cai, Min, Changpin Li, & Yu Wang. (2024). Numerical Algorithms for Ultra-slow Diffusion Equations. Communications on Applied Mathematics and Computation. 7(6). 2339–2384. 4 indexed citations

5.

Cai, Min & Changpin Li. (2023). L1/LDG algorithm for time‐Caputo space‐Riesz fractional convection equation in two dimensions. Mathematical Methods in the Applied Sciences. 47(1). 58–80. 1 indexed citations

6.

Cai, Min, et al.. (2023). Quantitative evaluation of anisometropic amblyopia treatment efficacy by coupling multiple visual functions via CRITIC algorithm. BMC Ophthalmology. 23(1). 162–162. 4 indexed citations

7.

Wang, Yu & Min Cai. (2023). Finite Difference Schemes for Time-Space Fractional Diffusion Equations in One- and Two-Dimensions. Communications on Applied Mathematics and Computation. 5(4). 1674–1696. 5 indexed citations

8.

Cai, Min, George Em Karniadakis, & Changpin Li. (2022). Fractional SEIR model and data-driven predictions of COVID-19 dynamics of Omicron variant. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(7). 71101–71101. 54 indexed citations

9.

Kharazmi, Ehsan, Min Cai, Xiaoning Zheng, et al.. (2021). Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nature Computational Science. 1(11). 744–753. 83 indexed citations

10.

Cai, Min & Changpin Li. (2019). On Riesz Derivative. Fractional Calculus and Applied Analysis. 22(2). 287–301. 63 indexed citations

11.

Cai, Min, et al.. (2017). Comparison of AH and MFM for work domain analysis in light of interface design. 1–6. 2 indexed citations

12.

Yang, Jichen, Min Cai, Yanxiong Li, & Hai Jin. (2016). Movie audio scene recognition based on WFST. 20. 77–80. 1 indexed citations

13.

He, Qianhua, et al.. (2014). A novel time-frequency feature extraction for movie audio signals classification. 1–4. 1 indexed citations

14.

Li, Shimin, et al.. (2011). Formation Mechanism and Stability Evaluation of Chenjiapo Landslide in Gaochuan County. 9(1). 134–138. 2 indexed citations

15.

Zhao, Feng, Min Cai, & Yunjie Zhang. (2010). An Improved Method for the FastICA Algorithm. 18. 1–4. 1 indexed citations

16.

Cai, Min, et al.. (2009). Power Control Algorithms in Wireless Cellular Networks. 3. 1–4. 1 indexed citations

17.

Hwang, Kai, et al.. (2007). Gossip-Based Reputation Management for Unstructured Peer-to-Peer Networks. 7 indexed citations

18.

Cai, Min, et al.. (2005). Stochastic power control algorithm in CDMA systems. 3. 1679–1683.

19.

Cai, Min, et al.. (2005). Power control algorithm for time-varying CDMA cellular systems. 3. 605–610. 2 indexed citations

20.

Kwok, Yue Kuen, Min Cai, & Kai Hwang. (2004). A Scalable Set-Union Counting Approach to Pushing Back DDoS Attacks. 6 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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