Ling Li

4.2k total citations
190 papers, 2.7k citations indexed

About

Ling Li is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ling Li has authored 190 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 28 papers in Artificial Intelligence and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Ling Li's work include EEG and Brain-Computer Interfaces (24 papers), Neural dynamics and brain function (19 papers) and Neural and Behavioral Psychology Studies (7 papers). Ling Li is often cited by papers focused on EEG and Brain-Computer Interfaces (24 papers), Neural dynamics and brain function (19 papers) and Neural and Behavioral Psychology Studies (7 papers). Ling Li collaborates with scholars based in China, United Kingdom and United States. Ling Li's co-authors include Peter Bearman, Spencer J. Sherwin, Emmanuel Vázquez, David Ginsbourger, Victor Picheny, Julien Bect, Feng Lu, Jiangang Liu, Jie Tian and Jun Li and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ling Li

171 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Li China	27	514	299	251	203	197	190	2.7k
W. Alan Nicewander United States	17	297 0.6×	383 1.3×	148 0.6×	65 0.3×	181 0.9×	37	3.4k
Maarten Speekenbrink United Kingdom	24	609 1.2×	483 1.6×	118 0.5×	32 0.2×	211 1.1×	77	2.9k
Yufei Huang United States	45	681 1.3×	794 2.7×	321 1.3×	79 0.4×	98 0.5×	319	7.8k
Eric Schulz United States	24	582 1.1×	678 2.3×	104 0.4×	31 0.2×	202 1.0×	83	3.3k
Kazushi Ikeda Japan	22	183 0.4×	637 2.1×	229 0.9×	75 0.4×	89 0.5×	199	2.1k
Christopher G. Lucas United Kingdom	18	429 0.8×	1000 3.3×	59 0.2×	135 0.7×	184 0.9×	56	3.4k
Eric Postma Netherlands	19	557 1.1×	895 3.0×	149 0.6×	92 0.5×	73 0.4×	100	2.9k
Robert L. Smith United States	42	1.8k 3.6×	726 2.4×	346 1.4×	61 0.3×	291 1.5×	284	6.5k
Kang Hao Cheong Singapore	38	300 0.6×	1.1k 3.8×	182 0.7×	59 0.3×	44 0.2×	190	4.2k
Kevin Warwick United Kingdom	34	890 1.7×	893 3.0×	337 1.3×	33 0.2×	184 0.9×	289	3.8k

Countries citing papers authored by Ling Li

Since Specialization

Citations

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

Fields of papers citing papers by Ling Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Li

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

Zhang, Xueyan, Changhui Li, Jiaxing Huang, et al.. (2024). Characterization and comparison of metabolites in colostrum from yaks, buffaloes, and cows based on UPLC-QTRAP-MS metabolomics. Food Chemistry. 463(Pt 2). 141345–141345.

Fan, Yanjie, Honglei Chen, Ling Li, et al.. (2024). PPARα affects hepatic lipid homeostasis by perturbing necroptosis signals in the intestinal epithelium. Acta Pharmaceutica Sinica B. 14(11). 4858–4873. 4 indexed citations

Li, Ling, Gaogao Dong, Huaiping Zhu, & Lixin Tian. (2024). Impact of multiple doses of vaccination on epidemiological spread in multiple networks. Applied Mathematics and Computation. 472. 128617–128617. 8 indexed citations

Li, Ling, et al.. (2024). Risk and protective factors for severe mental disorders in Asia. Neuroscience & Biobehavioral Reviews. 161. 105652–105652.

Charlton, Peter, et al.. (2024). Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks. Sensors. 24(12). 3980–3980. 2 indexed citations

Chen, Qiao Yi, et al.. (2024). The Relationship Between BRI and Depressive Symptoms in Chinese Older Adults: A CLHLS‐Based Study. International Journal of Methods in Psychiatric Research. 33(4). e70009–e70009. 1 indexed citations

Wang, Jiang, et al.. (2023). Online time-varying navigation ratio identification and state estimation of cooperative attack. Aerospace Science and Technology. 136. 108261–108261. 3 indexed citations

Zhang, Ling, Xiaolu Wang, Jun Jiang, et al.. (2023). Automatic interictal epileptiform discharge (IED) detection based on convolutional neural network (CNN). Frontiers in Molecular Biosciences. 10. 1146606–1146606. 13 indexed citations

Urban, Denisa, Ling Li, Fred G. Pluthero, et al.. (2023). The Sec1–Munc18 protein VPS33B forms a uniquely bidirectional complex with VPS16B. Journal of Biological Chemistry. 299(6). 104718–104718. 9 indexed citations

10.

Xia, Kewen, et al.. (2023). Self-Attention Causal Dilated Convolutional Neural Network for Multivariate Time Series Classification and Its Application. Engineering Applications of Artificial Intelligence. 122. 106151–106151. 10 indexed citations

11.

Tong, Lei, Zhihua Liu, Zheheng Jiang, et al.. (2022). Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter. IEEE Transactions on Affective Computing. 14(3). 1898–1911. 36 indexed citations

12.

Zhang, Xiaofeng, Yi Feng, Xiaolong Gao, et al.. (2022). Astragaloside IV in Hypoxic Pulmonary Hypertension: an In Vivo and In Vitro Experiments. Applied Biochemistry and Biotechnology. 194(12). 6319–6334. 3 indexed citations

13.

Li, Ling, et al.. (2022). Unconscious Conflict Adaptation of Heroin Abstainers. Journal of Clinical Medicine. 11(21). 6504–6504.

14.

Jiang, Zheheng, Feixiang Zhou, Aite Zhao, et al.. (2021). Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model. IEEE Transactions on Image Processing. 30. 5490–5504. 13 indexed citations

15.

Zhou, Feixiang, Zheheng Jiang, Zhihua Liu, et al.. (2021). Structured Context Enhancement Network for Mouse Pose Estimation. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2787–2801. 11 indexed citations

16.

Liu, Zhihua, Lei Tong, Long Chen, et al.. (2021). CANet: Context Aware Network for Brain Glioma Segmentation. IEEE Transactions on Medical Imaging. 40(7). 1763–1777. 67 indexed citations

17.

Witon, Adrien, R. Adapa, David Menon, et al.. (2020). Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect. Cerebral Cortex. 30(10). 5204–5217. 4 indexed citations

18.

Wang, Shuo, Liuqing Chen, Chao Wu, et al.. (2020). Neurocognition-inspired design with machine learning. Design Science. 6. 14 indexed citations

19.

Li, Ling. (2008). The Oretical Study on Enterprise Management of New Era:Green Supply Chain Management. 1 indexed citations

20.

Li, Ling, et al.. (2007). Context-driven Reconciliation in Ontology Integration. Journal of Southeast University. 23(3). 365–368. 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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