Kuan Li

2.2k total citations
35 papers, 593 citations indexed

About

Kuan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kuan Li has authored 35 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Kuan Li's work include AI in cancer detection (6 papers), Face and Expression Recognition (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Kuan Li is often cited by papers focused on AI in cancer detection (6 papers), Face and Expression Recognition (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Kuan Li collaborates with scholars based in China, Hong Kong and Taiwan. Kuan Li's co-authors include Jianping Yin, Wenyin Liu, Zhi Lu, Xiangfei Kong, Yi Jin, M. Waqar Akram, Ruize Han, Chengkun Wu, Qingxiong Yang and Siqi Wang and has published in prestigious journals such as Chemosphere, Applied Surface Science and Pattern Recognition.

In The Last Decade

Kuan Li

31 papers receiving 565 citations

Peers

Kuan Li

AI

CVPR

ECP

EPIDE

MT

Maheen Bakhtyar Pakistan

Alceu de Souza Britto Brazil

Melih Kandemir Germany

Shibaprasad Sen India

I. Jeena Jacob India

Saleh Aly Egypt

Arfan Jaffar Pakistan

Thái Hoàng Lê Vietnam

Woong-Kee Loh South Korea

Jie Liang China

Maheen Bakhtyar Pakistan

Kuan Li

283 ×0.8

AI

179 ×0.6

CVPR

23 ×0.3

ECP

51 ×0.8

EPIDE

26 ×0.4

MT

Citations per year, relative to Kuan Li Kuan Li (= 1×) peers Maheen Bakhtyar

Countries citing papers authored by Kuan Li

Since Specialization

Citations

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

Fields of papers citing papers by Kuan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Li

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

20 of 20 papers shown

1.

Li, Hao, et al.. (2025). Exploring the Long-Term Relationship Between Thermospheric ∑O/N2 and Solar EUV Flux. Remote Sensing. 17(4). 574–574. 1 indexed citations

2.

Li, Kuan, et al.. (2025). Formation mechanism of plasma gas-phase synthesis of graphene: Role of hydrogen. Applied Surface Science. 700. 163193–163193.

3.

Li, Kuan, et al.. (2025). FldtMatch: Improving Unbalanced Data Classification via Deep Semi-Supervised Learning with Self-Adaptive Dynamic Threshold. Mathematics. 13(3). 392–392. 1 indexed citations

4.

Li, Kuan, et al.. (2024). Multi-objective planning of distribution network based on distributionally robust model predictive control. Frontiers in Energy Research. 12. 2 indexed citations

5.

Zhang, Fuyong, Kuan Li, & Ziliang Ren. (2024). Improving Adversarial Robustness of Ensemble Classifiers by Diversified Feature Selection and Stochastic Aggregation. Mathematics. 12(6). 834–834. 1 indexed citations

6.

Han, Yufei, et al.. (2024). MS-UNet: Multi-Scale Nested UNet for Medical Image Segmentation with Few Training Data Based on an ELoss and Adaptive Denoising Method. Mathematics. 12(19). 2996–2996.

7.

Han, Yufei, et al.. (2024). MAT-VIT:A Vision Transformer with MAE-Based Self-Supervised Auxiliary Task for Medical Image Classification. 2046–2052. 1 indexed citations

8.

Qin, Siyuan, et al.. (2024). EAtuner: Comparative Study of Evolutionary Algorithms for Compiler Auto-tuning. 419–426.

9.

Li, Kuan, et al.. (2023). Multi-level parallel multi-layer block reproducible summation algorithm. Parallel Computing. 115. 102996–102996. 2 indexed citations

10.

Li, Kuan, et al.. (2023). AatMatch: Adaptive Adversarial Training in Semi-Supervised Learning Based on Data-Driven Decision-Making Models. Systems. 11(5). 256–256. 1 indexed citations

11.

Liu, Rong, et al.. (2022). Aerial image object detection based on improved YOLOv5. 561–564. 2 indexed citations

12.

Liu, Yang, Xiang Ao, Kuan Li, et al.. (2022). AUC-oriented Graph Neural Network for Fraud Detection. Proceedings of the ACM Web Conference 2022. 1311–1321. 55 indexed citations

13.

Haq, Ejaz Ul, et al.. (2022). Ensemble Learning for Diabetic Foot Ulcer Segmentation based on DFUC2022 Dataset. 1750–1754. 2 indexed citations

14.

Zhao, Lili, Kuan Li, Jianping Yin, Qiang Liu, & Siqi Wang. (2017). Complete three‐phase detection framework for identifying abnormal cervical cells. IET Image Processing. 11(4). 258–265. 10 indexed citations

15.

Min, Erxue, Yawei Zhao, Jun Long, et al.. (2017). SVRG with adaptive epoch size. 43. 2935–2942. 2 indexed citations

16.

Zhao, Lili, et al.. (2017). A novel unsupervised segmentation method for overlapping cervical cell images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10420. 1042028–1042028. 1 indexed citations

17.

Zhao, Yawei, et al.. (2017). Distributed and asynchronous Stochastic Gradient Descent with variance reduction. Neurocomputing. 281. 27–36. 17 indexed citations

18.

Zhao, Lili, Kuan Li, Jianping Yin, et al.. (2016). Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF. Computers in Biology and Medicine. 71. 46–56. 50 indexed citations

19.

Wang, Feng, et al.. (2015). Implementation of an Accurate and Efficient Compensated DGEMM for 64-bit ARMv8 Multi-Core Processors. 491–498. 3 indexed citations

20.

Yu, Lei, et al.. (2011). Anaerobic degradation of microcrystalline cellulose: Kinetics and micro-scale structure evolution. Chemosphere. 86(4). 348–353. 23 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