Fenglian Li

1.1k total citations
67 papers, 751 citations indexed

About

Fenglian Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Fenglian Li has authored 67 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Cognitive Neuroscience. Recurrent topics in Fenglian Li's work include EEG and Brain-Computer Interfaces (10 papers), Brain Tumor Detection and Classification (7 papers) and Acute Ischemic Stroke Management (7 papers). Fenglian Li is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Brain Tumor Detection and Classification (7 papers) and Acute Ischemic Stroke Management (7 papers). Fenglian Li collaborates with scholars based in China, Australia and United States. Fenglian Li's co-authors include Xueying Zhang, Yu‐Chu Tian, Jiagang Wu, Xiqian Zhang, Yue Xu, Fengyun Hu, Lixia Huang, Yuying Zhao, Dingquan Xiao and Laiming Jiang and has published in prestigious journals such as Scientific Reports, Physical Chemistry Chemical Physics and Journal of the American Ceramic Society.

In The Last Decade

Fenglian Li

63 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fenglian Li China 16 206 138 136 124 96 67 751
Bilal Hassan Pakistan 20 132 0.6× 108 0.8× 40 0.3× 161 1.3× 313 3.3× 73 1.0k
Bing Nan Li China 19 326 1.6× 95 0.7× 156 1.1× 473 3.8× 486 5.1× 42 1.6k
Jianjia Zhang China 17 169 0.8× 35 0.3× 121 0.9× 206 1.7× 249 2.6× 55 772
Ran Zheng China 16 134 0.7× 75 0.5× 20 0.1× 96 0.8× 346 3.6× 106 1.0k
Jiawei Li China 14 325 1.6× 51 0.4× 29 0.2× 138 1.1× 145 1.5× 51 775
Gustavo M. Callicó Spain 27 302 1.5× 96 0.7× 28 0.2× 611 4.9× 523 5.4× 166 2.3k
Qinghao Ye China 14 406 2.0× 69 0.5× 31 0.2× 78 0.6× 343 3.6× 34 993
Kevin M. Cherry United States 7 315 1.5× 92 0.7× 17 0.1× 243 2.0× 217 2.3× 9 1.2k
Francesco Leporati Italy 16 123 0.6× 97 0.7× 12 0.1× 198 1.6× 185 1.9× 91 914

Countries citing papers authored by Fenglian Li

Since Specialization
Citations

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

Fields of papers citing papers by Fenglian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenglian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fenglian Li. A scholar is included among the top collaborators of Fenglian 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 Fenglian Li. Fenglian Li 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.
Luo, Jun, Fenglian Li, & Jianfang Jiao. (2025). A dynamic multiobjective recommendation method based on soft actor-critic with discrete actions. Journal of King Saud University - Computer and Information Sciences. 37(1-2). 1 indexed citations
2.
Li, Fenglian, et al.. (2025). Enhanced multilayer extreme learning machine for imbalanced dataset: Optimized cost regulation and hierarchical parameter adaptation. Information Sciences. 719. 122426–122426. 1 indexed citations
3.
Du, Peng, Fenglian Li, & Jian-Li Shao. (2024). Multi-agent reinforcement learning clustering algorithm based on silhouette coefficient. Neurocomputing. 596. 127901–127901. 9 indexed citations
4.
Wang, Fang, Zhi Yang, Fenglian Li, Jian-Li Shao, & Li-Chun Xu. (2024). Ab initio investigation of electronic structure and magnetic transformation during the bcc to hcp transition in Fe induced by pressure. Materials Today Communications. 39. 109406–109406.
5.
Zhang, Xueying, et al.. (2024). A feature-enhanced network for stroke lesion segmentation from brain MRI images. Computers in Biology and Medicine. 174. 108326–108326. 11 indexed citations
6.
Wang, Weili, et al.. (2023). Stroke lesion segmentation model based on convolutional fusion and an improved attention mechanism. Computers & Electrical Engineering. 111. 108926–108926. 1 indexed citations
7.
Fang, Yu, et al.. (2023). Resting-state EEG microstates as electrophysiological biomarkers in post-stroke disorder of consciousness. Frontiers in Neuroscience. 17. 1257511–1257511. 3 indexed citations
8.
Li, Juan, et al.. (2023). Acoustic-articulatory emotion recognition using multiple features and parameter-optimized cascaded deep learning network. Knowledge-Based Systems. 284. 111276–111276. 4 indexed citations
9.
Li, Juan, et al.. (2023). Speech emotion recognition based on optimized deep features of dual-channel complementary spectrogram. Information Sciences. 649. 119649–119649. 13 indexed citations
10.
Wang, Fang, Zhi Yang, Fenglian Li, Jian-Li Shao, & Li-Chun Xu. (2023). Strategic sampling with stochastic surface walking for machine learning force fields in iron's bcc–hcp phase transitions. RSC Advances. 13(45). 31728–31737. 4 indexed citations
11.
Zhang, Xueying, et al.. (2023). W-Net: A boundary-enhanced segmentation network for stroke lesions. Expert Systems with Applications. 230. 120637–120637. 31 indexed citations
12.
Zhang, Xueying, et al.. (2022). Multi-scale long-range interactive and regional attention network for stroke lesion segmentation. Computers & Electrical Engineering. 103. 108345–108345. 14 indexed citations
13.
Zhang, Xueying, et al.. (2022). Multimodal CT Image Synthesis Using Unsupervised Deep Generative Adversarial Networks for Stroke Lesion Segmentation. Electronics. 11(16). 2612–2612. 2 indexed citations
14.
Tang, Mingfeng, et al.. (2022). Risk or Return? The Effect of Face Consciousness Influences on the Career Construction of Chinese Rural Dwellers in Urban Areas. Frontiers in Psychology. 13. 870655–870655. 4 indexed citations
15.
Wei, Xiaoxia, Qian Lü, Sanli Jin, et al.. (2021). Developing and validating a prediction model for lymphedema detection in breast cancer survivors. European Journal of Oncology Nursing. 54. 102023–102023. 26 indexed citations
16.
Liu, Fei, Fenglian Li, Mei R. Fu, et al.. (2020). Self-management Strategies for Risk Reduction of Subclinical and Mild Stage of Breast Cancer–Related Lymphedema. Cancer Nursing. 44(6). E493–E502. 15 indexed citations
17.
18.
Li, Fenglian, Qian Lü, Sanli Jin, et al.. (2019). A scoring system for predicting the risk of breast cancer-related lymphedema. International Journal of Nursing Sciences. 7(1). 21–28. 18 indexed citations
19.
Li, Fenglian & Yiran He. (2008). An algorithm for generalized variational inequality with pseudomonotone mapping. Journal of Computational and Applied Mathematics. 228(1). 212–218. 16 indexed citations
20.
Zhang, Baohong, et al.. (1998). Effects of sugar sources on cotton anther culture II Effects of sugar sources on anther callus growth and embryogenesis. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 20(3). 317–321. 2 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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