Min Lin

3.2k total citations · 2 hit papers
40 papers, 1.9k citations indexed

About

Min Lin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Min Lin has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 7 papers in Economics and Econometrics. Recurrent topics in Min Lin's work include Metaheuristic Optimization Algorithms Research (8 papers), Complex Systems and Time Series Analysis (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Min Lin is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Complex Systems and Time Series Analysis (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Min Lin collaborates with scholars based in China, United States and Singapore. Min Lin's co-authors include Shuicheng Yan, Qiang Chen, Bingbing Ni, Yao Zhao, Wei Xia, Yunchao Wei, Junshi Huang, Jian Dong, Yiwen Zhong and Gang‐Jin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

In The Last Decade

Min Lin

34 papers receiving 1.8k 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.

Network In Network

2014 658 citations Min Lin, Qiang Chen et al. arXiv (Cornell University) profile →
HCP: A Flexible CNN Framework for Multi-Label Image Classification

2015 543 citations Min Lin, Shuicheng Yan et al. profile →

Peers

Min Lin

CVPR

AI

EE

MT

SNP

Šarūnas Raudys Lithuania

Lu Bai China

El-Sayed M. El-Alfy Saudi Arabia

Aruna Tiwari India

Afshin Rostamizadeh United States

George D. C. Cavalcanti Brazil

Qiang Liu China

D. Dutta Majumder India

Sotirios Chatzis Cyprus

Daniel Yeung China

Šarūnas Raudys Lithuania

Min Lin

658 ×0.7

CVPR

826 ×1.0

AI

63 ×0.4

EE

132 ×0.9

MT

30 ×0.3

SNP

Citations per year, relative to Min Lin Min Lin (= 1×) peers Šarūnas Raudys

Countries citing papers authored by Min Lin

Since Specialization

Citations

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

Fields of papers citing papers by Min Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Lin

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

Zhong, Yiwen, et al.. (2025). HPANet: Hierarchical Path Aggregation Network with Pyramid Vision Transformers for Colorectal Polyp Segmentation. Algorithms. 18(5). 281–281.

2.

Zhang, Mingxin, et al.. (2025). Targeted monetary policy and household business credit access: Based on the credit asset pledge relending policy. Emerging Markets Review. 66. 101288–101288.

3.

Lin, Min, et al.. (2025). Large and Small models for collaborative cross-lingual data augmentation in entity relationship extraction for low-resource languages. Journal of King Saud University - Computer and Information Sciences. 37(4).

4.

Li, Xuewei, et al.. (2024). CIFTC-Net: Cross information fusion network with transformer and CNN for polyp segmentation. Displays. 85. 102872–102872. 4 indexed citations

5.

Liu, Qian, et al.. (2024). Sailor: Open Language Models for South-East Asia. 424–435.

6.

Wang, Gang, Chang Zhao, Min Zhang, et al.. (2021). Author Correction: The causality from solar irradiation to ocean heat content detected via multi-scale Liang–Kleeman information flow. Scientific Reports. 11(1). 7171–7171. 1 indexed citations

7.

Caccia, M., Pau Rodríguez, Min Lin, et al.. (2020). Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. Neural Information Processing Systems. 33. 16532–16545. 23 indexed citations

8.

Wang, Gang, Chang Zhao, Min Zhang, et al.. (2020). The causality from solar irradiation to ocean heat content detected via multi-scale Liang–Kleeman information flow. Scientific Reports. 10(1). 17141–17141. 14 indexed citations

9.

Wang, Lijin, et al.. (2019). Enhanced List-Based Simulated Annealing Algorithm for Large-Scale Traveling Salesman Problem. IEEE Access. 7. 144366–144380. 32 indexed citations

10.

Aljundi, Rahaf, et al.. (2019). Online continual learning with no task boundaries.. arXiv (Cornell University). 13 indexed citations

11.

Aljundi, Rahaf, Eugene Belilovsky, Tinne Tuytelaars, et al.. (2019). Online Continual Learning with Maximal Interfered Retrieval. arXiv (Cornell University). 32. 11849–11860. 109 indexed citations

12.

Lin, Min, et al.. (2018). Discrete Bird Swarm Algorithm Based on Information Entropy Matrix for Traveling Salesman Problem. Mathematical Problems in Engineering. 2018. 1–15. 10 indexed citations

13.

Rahaman, Nasim, Devansh Arpit, Aristide Baratin, et al.. (2018). On the Spectral Bias of Deep Neural Networks. arXiv (Cornell University). 18 indexed citations

14.

Rahaman, Nasim, Aristide Baratin, Devansh Arpit, et al.. (2018). On the Spectral Bias of Neural Networks. arXiv (Cornell University). 5301–5310. 50 indexed citations

15.

Lin, Min, Gang‐Jin Wang, Chi Xie, & H. Eugene Stanley. (2017). Cross-correlations and influence in world gold markets. Physica A Statistical Mechanics and its Applications. 490. 504–512. 36 indexed citations

16.

Lin, Min, Qiang Chen, & Shuicheng Yan. (2014). Network In Network. arXiv (Cornell University). 658 indexed citations breakdown →

17.

Lin, Min, Gang Zhao, & Gang Wang. (2014). Recurrence quantification analysis for detecting dynamical changes in earthquake magnitude time series. International Journal of Modern Physics C. 26(7). 1550077–1550077. 5 indexed citations

18.

Zhang, Ming, et al.. (2010). Experimentally Determining Bloch Parameters of Hamiltonian for Single-Qubit Systems. Communications in Theoretical Physics. 53(6). 1077–1082. 2 indexed citations

19.

Lin, Min, Gang Wang, & Chen Tian-Lun. (2006). Self-Organized Criticality in a Simple Neuron Model Based on Scale-Free Networks. Communications in Theoretical Physics. 46(2). 362–366.

20.

Lin, Min. (2001). Wavelet Synthesis of 1/f Processes. 1 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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