Zairan Li

440 total citations
17 papers, 275 citations indexed

About

Zairan Li is a scholar working on Endocrinology, Diabetes and Metabolism, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Zairan Li has authored 17 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in Zairan Li's work include Diabetic Foot Ulcer Assessment and Management (12 papers), Infrared Thermography in Medicine (5 papers) and Lower Extremity Biomechanics and Pathologies (4 papers). Zairan Li is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (12 papers), Infrared Thermography in Medicine (5 papers) and Lower Extremity Biomechanics and Pathologies (4 papers). Zairan Li collaborates with scholars based in China, United States and India. Zairan Li's co-authors include Fuqian Shi, Nilanjan Dey, Dan Wang, Amira S. Ashour, Pamela McCauley, R. Simon Sherratt, Valentina Emilia Bălaş, Kai Shi, Luminița Moraru and Anjan Biswas and has published in prestigious journals such as IEEE Access, Applied Soft Computing and IEEE Sensors Journal.

In The Last Decade

Zairan Li

16 papers receiving 265 citations

Peers

Zairan Li

CVPR

RNMI

EDM

Claudio Filipi Gonçalves dos Santos Brazil

Haoming Chen China

Adilson Gonzaga Brazil

Xinbo Zhao China

Nor Azman Ismail Malaysia

Suranjana Samanta India

Zhang Zhi China

Lei Shang China

Tianyu Yang China

Abhay Kumar Alok India

Claudio Filipi Gonçalves dos Santos Brazil

Zairan Li

89 ×0.9

CVPR

60 ×1.0

27 ×0.5

RNMI

8 ×0.1

EDM

86 ×2.1

Citations per year, relative to Zairan Li Zairan Li (= 1×) peers Claudio Filipi Gonçalves dos Santos

Countries citing papers authored by Zairan Li

Since Specialization

Citations

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

Fields of papers citing papers by Zairan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zairan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zairan Li. A scholar is included among the top collaborators of Zairan Li 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 Zairan Li. Zairan Li 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:

17 of 17 papers shown

Wang, Dan, Zairan Li, Nilanjan Dey, et al.. (2024). Design element extraction of plantar pressure imaging employing meta-learning-based graphic convolutional neural networks. Applied Soft Computing. 158. 111598–111598. 2 indexed citations

Wang, Dan, et al.. (2024). Curvature generation based on weight-updated boosting using shoe last point-cloud measurements. Heliyon. 10(4). e26498–e26498. 1 indexed citations

Wang, Dan, et al.. (2024). Deep self-organizing map neural networks improve the segmentation for inadequate plantar pressure imaging data set. Network Computation in Neural Systems. 36(2). 322–342.

Wang, Dan, et al.. (2023). Infrared imaging segmentation employing an explainable deep neural network. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 31(6). 1021–1038. 1 indexed citations

Wang, Dan, et al.. (2021). Plantar pressure image classification employing residual-network model-based conditional generative adversarial networks: a comparison of normal, planus, and talipes equinovarus feet. Soft Computing. 27(3). 1763–1782. 6 indexed citations

Wang, Dan, Zairan Li, Nilanjan Dey, et al.. (2020). Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks. Journal of Applied Biomedicine. 40(1). 546–558. 19 indexed citations

Li, Zairan & Dan Wang. (2020). Classification on Point-cloud of Shoe-last Curvature using Weight-updated Boosting based Ensemble Learning. 94. 2073–2077. 2 indexed citations

Li, Zairan, Dan Wang, Nilanjan Dey, et al.. (2019). Plantar pressure image fusion for comfort fusion in diabetes mellitus using an improved fuzzy hidden Markov model. Journal of Applied Biomedicine. 39(3). 742–752. 16 indexed citations

Li, Donghui, Zairan Li, Dan Wang, et al.. (2019). An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks. Optik. 185. 543–557. 26 indexed citations

10.

Li, Zairan, Nilanjan Dey, Zhaochun Li, et al.. (2018). Histogram of Oriented Gradient Based Plantar Pressure Image Feature Extraction and Classification Employing Fuzzy Support Vector Machine. Journal of Medical Imaging and Health Informatics. 8(4). 842–854. 22 indexed citations

11.

Wang, Dan, Zairan Li, Nilanjan Dey, et al.. (2018). Optical pressure sensors based plantar image segmenting using an improved fully convolutional network. Optik. 179. 99–114. 26 indexed citations

12.

Li, Zairan, Nilanjan Dey, Amira S. Ashour, et al.. (2017). Convolutional Neural Network Based Clustering and Manifold Learning Method for Diabetic Plantar Pressure Imaging Dataset. Journal of Medical Imaging and Health Informatics. 7(3). 639–652. 30 indexed citations

13.

Wang, Dan, Zairan Li, Nilanjan Dey, et al.. (2017). Case-Based Reasoning for Product Style Construction and Fuzzy Analytic Hierarchy Process Evaluation Modeling Using Consumers Linguistic Variables. IEEE Access. 5. 4900–4912. 20 indexed citations

14.

Wang, Dan, Zairan Li, Valentina Emilia Bălaş, et al.. (2016). Image Fusion Incorporating Parameter Estimation Optimized Gaussian Mixture Model and Fuzzy Weighted Evaluation System: A Case Study in Time-Series Plantar Pressure Data Set. IEEE Sensors Journal. 17(5). 1407–1420. 28 indexed citations

15.

Wang, Dan, Ting He, Zairan Li, et al.. (2016). Image feature-based affective retrieval employing improved parameter and structure identification of adaptive neuro-fuzzy inference system. Neural Computing and Applications. 29(4). 1087–1102. 22 indexed citations

16.

Li, Zairan, Kai Shi, Nilanjan Dey, et al.. (2016). Rule-based back propagation neural networks for various precision rough set presented KANSEI knowledge prediction: a case study on shoe product form features extraction. Neural Computing and Applications. 28(3). 613–630. 47 indexed citations

17.

Li, Zairan, Ting He, Tunhua Wu, et al.. (2015). Multi-source information fusion model in rule-based Gaussian-shaped fuzzy control inference system incorporating Gaussian density function. Journal of Intelligent & Fuzzy Systems. 29(6). 2335–2344. 7 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.

Explore authors with similar magnitude of impact