Kun Lan

602 total citations
31 papers, 373 citations indexed

About

Kun Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kun Lan has authored 31 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kun Lan's work include AI in cancer detection (5 papers), Brain Tumor Detection and Classification (3 papers) and Advanced Neural Network Applications (3 papers). Kun Lan is often cited by papers focused on AI in cancer detection (5 papers), Brain Tumor Detection and Classification (3 papers) and Advanced Neural Network Applications (3 papers). Kun Lan collaborates with scholars based in China, Macao and Australia. Kun Lan's co-authors include Simon Fong, Nilanjan Dey, Kelvin K. L. Wong, Dantong Wang, Liansheng Liu, Xiaoliang Jiang, Jie Yang, Rui Tang, Raymond K. Wong and Liansheng Liu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Kun Lan

26 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Lan China 10 117 77 65 55 26 31 373
Liangliang Liu China 8 160 1.4× 117 1.5× 63 1.0× 175 3.2× 43 1.7× 21 481
Murtada K. Elbashir Saudi Arabia 9 124 1.1× 59 0.8× 121 1.9× 43 0.8× 23 0.9× 45 371
Zeeshan Abbas South Korea 14 98 0.8× 98 1.3× 177 2.7× 77 1.4× 7 0.3× 34 508
Shailender Kumar India 10 183 1.6× 81 1.1× 24 0.4× 96 1.7× 48 1.8× 52 452
Noelia Vállez Spain 12 189 1.6× 61 0.8× 30 0.5× 144 2.6× 11 0.4× 30 391
Lei You China 9 113 1.0× 61 0.8× 132 2.0× 137 2.5× 10 0.4× 23 462
Maleika Heenaye-Mamode Khan Mauritius 10 131 1.1× 126 1.6× 16 0.2× 71 1.3× 47 1.8× 43 346
Carl Sabottke United States 9 87 0.7× 146 1.9× 61 0.9× 41 0.7× 131 5.0× 18 531
Giuseppe Mastronardi Italy 9 70 0.6× 60 0.8× 28 0.4× 62 1.1× 16 0.6× 41 216

Countries citing papers authored by Kun Lan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Lan. A scholar is included among the top collaborators of Kun Lan 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 Lan. Kun Lan 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.
Guo, Juan, Fang Liu, Xiangming Yang, et al.. (2025). TRPM4 channels contribute to Adriamycin chemoresistance in breast cancer cells. European Journal of Pharmacology. 998. 177637–177637. 1 indexed citations
2.
Lan, Kun, et al.. (2024). Tax Intelligent Decision-Making Language Model. IEEE Access. 12. 146202–146212. 1 indexed citations
3.
Jiang, Xiaoliang, et al.. (2024). HIMS-Net: Horizontal-vertical interaction and multiple side-outputs network for cyst segmentation in jaw images. Mathematical Biosciences & Engineering. 21(3). 4036–4055.
4.
Lan, Kun, et al.. (2024). Predicting Quercus gilva distribution dynamics and its response to climate change induced by GHGs emission through MaxEnt modeling. Journal of Environmental Management. 357. 120841–120841. 20 indexed citations
5.
Lan, Kun, et al.. (2024). High-Efficiency and High-Precision Ship Detection Algorithm Based on Improved YOLOv8n. Mathematics. 12(7). 1072–1072. 6 indexed citations
6.
Jiang, Jinyun, et al.. (2023). BiDFDC-Net: a dense connection network based on bi-directional feedback for skin image segmentation. Frontiers in Physiology. 14. 1173108–1173108. 2 indexed citations
7.
Sheng, Xiaojing, Kun Lan, Xiaoliang Jiang, & Jie Yang. (2023). Adaptive Curriculum Sequencing and Education Management System via Group-Theoretic Particle Swarm Optimization. Systems. 11(1). 34–34. 12 indexed citations
8.
9.
Jiang, Jinyun, Jianchen Cai, Qile Zhang, et al.. (2023). Group theoretic particle swarm optimization for gray-level medical image enhancement. Mathematical Biosciences & Engineering. 20(6). 10479–10494. 3 indexed citations
10.
11.
Lan, Kun, Xiaoliang Jiang, Jun Wang, et al.. (2022). Group theoretic particle swarm optimization for multi-level threshold lung cancer image segmentation. Quantitative Imaging in Medicine and Surgery. 13(3). 1312–1322. 4 indexed citations
12.
Yang, Jie, Jinfeng Li, Kun Lan, et al.. (2022). Multi-Label Attribute Selection of Arrhythmia for Electrocardiogram Signals with Fusion Learning. Bioengineering. 9(7). 268–268. 5 indexed citations
13.
Yang, Luying, et al.. (2022). A soft sensing method of billet surface temperature based on ILGSSA-LSSVM. Scientific Reports. 12(1). 21876–21876. 1 indexed citations
14.
Lan, Kun, Gloria Li, Jie Yang, et al.. (2021). Convolutional neural network with group theory and random selection particle swarm optimizer for enhancing cancer image classification. Mathematical Biosciences & Engineering. 18(5). 5573–5591. 7 indexed citations
15.
Yang, Jie, Simon Fong, Han Wang, et al.. (2021). Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey. Expert Systems with Applications. 182. 115068–115068. 23 indexed citations
16.
Lan, Kun, Liansheng Liu, Yuhao Chen, et al.. (2020). Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection. Neural Computing and Applications. 32(19). 15469–15488. 16 indexed citations
17.
Lan, Kun, Simon Fong, Liansheng Liu, et al.. (2019). A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring. Enterprise Information Systems. 15(1). 15–35. 9 indexed citations
18.
Lan, Kun, Dantong Wang, Simon Fong, et al.. (2018). A Survey of Data Mining and Deep Learning in Bioinformatics. Journal of Medical Systems. 42(8). 139–139. 190 indexed citations
19.
20.
Lan, Kun, et al.. (2013). Compact 2.4GHz-band diversity antenna for mobile terminals. 7. 38–41. 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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