Lanting Li

468 total citations
31 papers, 303 citations indexed

About

Lanting Li is a scholar working on Neurology, Cognitive Neuroscience and Oncology. According to data from OpenAlex, Lanting Li has authored 31 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 6 papers in Cognitive Neuroscience and 5 papers in Oncology. Recurrent topics in Lanting Li's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Functional Brain Connectivity Studies (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Lanting Li is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Functional Brain Connectivity Studies (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Lanting Li collaborates with scholars based in China, Canada and United States. Lanting Li's co-authors include Jinzhu Yang, Osmar R. Zaı̈ane, Weiguo Liu, Bo Wu, Jingru Ren, Peng Cao, Xiangmin Zhang, Chenxi Pan, Guoquan Yan and Guangqi Wen and has published in prestigious journals such as Talanta, Analytical and Bioanalytical Chemistry and Frontiers in Neuroscience.

In The Last Decade

Lanting Li

28 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanting Li China 11 72 70 65 60 42 31 303
Ahmed Radwan Belgium 14 131 1.8× 90 1.3× 35 0.5× 65 1.1× 62 1.5× 47 539
Felix Raschke Germany 12 173 2.4× 76 1.1× 19 0.3× 36 0.6× 33 0.8× 26 421
Gabriel Kocevar France 12 149 2.1× 71 1.0× 24 0.4× 53 0.9× 16 0.4× 25 407
Renhua Wu China 10 145 2.0× 113 1.6× 36 0.6× 66 1.1× 8 0.2× 24 366
Yande Ren China 10 120 1.7× 78 1.1× 65 1.0× 20 0.3× 33 0.8× 36 306
Christoff Gössl Germany 9 272 3.8× 172 2.5× 144 2.2× 36 0.6× 27 0.6× 13 566
Jiance Li China 13 295 4.1× 94 1.3× 46 0.7× 28 0.5× 113 2.7× 29 511
Masashi Nishio Japan 13 36 0.5× 95 1.4× 22 0.3× 217 3.6× 18 0.4× 20 530
Xingyun Liu China 13 70 1.0× 105 1.5× 19 0.3× 180 3.0× 24 0.6× 45 510

Countries citing papers authored by Lanting Li

Since Specialization
Citations

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

Fields of papers citing papers by Lanting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanting Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lanting Li. A scholar is included among the top collaborators of Lanting 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 Lanting Li. Lanting 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.
Cao, Peng, Guangqi Wen, Lanting Li, et al.. (2025). CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification. Engineering Applications of Artificial Intelligence. 163. 112910–112910.
3.
Li, Lanting, et al.. (2023). Voice Deepfake Detection Using the Self-Supervised Pre-Training Model HuBERT. Applied Sciences. 13(14). 8488–8488. 12 indexed citations
4.
Li, Lanting, et al.. (2022). Micro-expression recognition based on SqueezeNet and C3D. Multimedia Systems. 28(6). 2227–2236. 13 indexed citations
5.
Hua, Ping, Yuwen Zhao, Qian Zeng, et al.. (2022). Genetic Analysis of Patients With Early-Onset Parkinson’s Disease in Eastern China. Frontiers in Aging Neuroscience. 14. 849462–849462. 9 indexed citations
6.
Li, Lanting, Guangqi Wen, Peng Cao, et al.. (2022). Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. International Journal of Computer Assisted Radiology and Surgery. 18(4). 663–673. 3 indexed citations
7.
Chen, Yubing, Hui Wang, Yuqian Li, et al.. (2022). Altered Neural Network Connectivity Predicts Depression in de novo Parkinson’s Disease. Frontiers in Neuroscience. 16. 828651–828651. 9 indexed citations
9.
Ren, Jingru, Chenxi Pan, Yuqian Li, et al.. (2021). Consistency and Stability of Motor Subtype Classifications in Patients With de novo Parkinson’s Disease. Frontiers in Neuroscience. 15. 637896–637896. 17 indexed citations
10.
Yang, Jinzhu, Bo Wu, Lanting Li, Peng Cao, & Osmar R. Zaı̈ane. (2021). MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Computerized Medical Imaging and Graphics. 92. 101957–101957. 53 indexed citations
11.
Li, Lanting, Jingru Ren, Chenxi Pan, et al.. (2021). Serum miR-214 Serves as a Biomarker for Prodromal Parkinson’s Disease. Frontiers in Aging Neuroscience. 13. 700959–700959. 26 indexed citations
12.
Pan, Chenxi, Jingru Ren, Lanting Li, et al.. (2021). Differential functional connectivity of insular subdivisions in de novo Parkinson’s disease with mild cognitive impairment. Brain Imaging and Behavior. 16(1). 1–10. 10 indexed citations
13.
Liu, Guoqing, et al.. (2021). Cost-effectiveness Analysis of Prophylaxis Versus On-demand Treatment for Children With Hemophilia B Without Inhibitors in China. Clinical Therapeutics. 43(9). 1536–1546. 1 indexed citations
14.
Li, Lanting, Guangqi Wen, Peng Cao, et al.. (2021). TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics. 20(2). 353–375. 39 indexed citations
15.
Yu, Yongfeng, Peng Dong, Liheng Ma, et al.. (2021). Modelled Economic Analysis for Dacomitinib–A Cost Effectiveness Analysis in Treating Patients With EGFR-Mutation-Positive Non-Small Cell Lung Cancer in China. Frontiers in Oncology. 11. 564234–564234. 4 indexed citations
17.
Li, Lanting, Ping Hua, Lei Yan, et al.. (2020). Polymorphism of the Dopa-Decarboxylase Gene Modifies the Motor Response to Levodopa in Chinese Patients With Parkinson's Disease. Frontiers in Neurology. 11. 520934–520934. 9 indexed citations
19.
Li, Lanting, Guoquan Yan, & Xiangmin Zhang. (2019). A rapid and efficient method for N-termini analysis in short-lived proteins. Talanta. 204. 367–371. 6 indexed citations
20.
Li, Lanting, Guoquan Yan, & Xiangmin Zhang. (2015). Isolation of acetylated and free N-terminal peptides from proteomic samples based on tresyl-functionalized microspheres. Talanta. 144. 122–128. 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.

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