Linqing Feng

1.1k total citations
39 papers, 670 citations indexed

About

Linqing Feng is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Linqing Feng has authored 39 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Molecular Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Linqing Feng's work include Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (6 papers) and Cell Image Analysis Techniques (6 papers). Linqing Feng is often cited by papers focused on Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (6 papers) and Cell Image Analysis Techniques (6 papers). Linqing Feng collaborates with scholars based in China, South Korea and United States. Linqing Feng's co-authors include Jinhyun Kim, Ting Zhao, Shaul Druckmann, Bokyoung Lee, Jeffrey C. Magee, Xiaoxiang Zheng, Victor V. Uteshev, Yingke Xu, O‐Sung Kwon and Yi Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Linqing Feng

35 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linqing Feng China	13	283	204	196	166	56	39	670
Nathan Clack United States	9	358 1.3×	188 0.9×	438 2.2×	282 1.7×	36 0.6×	10	933
Hana Roš United Kingdom	7	491 1.7×	184 0.9×	462 2.4×	128 0.8×	49 0.9×	7	788
Kevin M. Boergens Germany	9	255 0.9×	107 0.5×	252 1.3×	196 1.2×	48 0.9×	18	626
Matthias G. Haberl France	9	226 0.8×	188 0.9×	191 1.0×	85 0.5×	14 0.3×	14	636
Hansjörg Kasper Switzerland	9	411 1.5×	131 0.6×	236 1.2×	160 1.0×	33 0.6×	9	811
Amanda J. Foust United Kingdom	14	503 1.8×	162 0.8×	322 1.6×	145 0.9×	40 0.7×	34	733
Francisca Martínez Traub United States	8	187 0.7×	103 0.5×	165 0.8×	319 1.9×	32 0.6×	8	604
Benjamin Mathieu France	8	323 1.1×	149 0.7×	185 0.9×	142 0.9×	26 0.5×	13	507
Manuel Berning Germany	9	247 0.9×	107 0.5×	161 0.8×	187 1.1×	36 0.6×	9	648
Ilya Kolb United States	13	332 1.2×	199 1.0×	189 1.0×	97 0.6×	35 0.6×	24	554

Countries citing papers authored by Linqing Feng

Since Specialization

Citations

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

Fields of papers citing papers by Linqing Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linqing Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Linqing Feng. A scholar is included among the top collaborators of Linqing Feng 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 Linqing Feng. Linqing Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Xinying, Zhixiong Huang, Sifan Zhang, et al.. (2025). GMSR: Gradient-integrated mamba for spectral reconstruction from RGB images. Neural Networks. 193. 108020–108020. 2 indexed citations

Pifferi, Fabien, et al.. (2024). eLemur: A cellular-resolution 3D atlas of the mouse lemur brain. Proceedings of the National Academy of Sciences. 121(50). e2413687121–e2413687121.

Wang, Ying, et al.. (2024). Access Control and Collision Resolution for Massive Random Access in Satellite Internet of Things Networks. 522–527.

Zhang, Yifan, et al.. (2024). Optimizing Beam Hopping in Multibeam NGSO Constellations with Multi-Agent Reinforcement Learning. 476–481. 1 indexed citations

Feng, Linqing, et al.. (2024). Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity. Brain Informatics. 11(1). 15–15. 2 indexed citations

Liu, Jinbiao, Jixian Wang, Yixuan Sheng, et al.. (2023). A Generalized Cortico-Muscular-Cortical Network to Evaluate the Effects of Three-Week Brain Stimulation. IEEE Transactions on Biomedical Engineering. 71(1). 195–206. 2 indexed citations

Wei, Yina, Man‐Li Luo, Linqing Feng, et al.. (2023). The role of age-related sleep EEG changes in memory decline: experiments and computational modeling. PubMed. 2023. 1–4. 1 indexed citations

Liu, Changhao, et al.. (2022). An Open-Source Real-Time Motion Correction Plug-In for Single-Photon Calcium Imaging of Head-Mounted Microscopy. Frontiers in Neural Circuits. 16. 891825–891825. 3 indexed citations

Lee, Ho‐Jin, Dae‐Hyuk Kwon, Keiko Tanaka, et al.. (2022). Topographic connectivity and cellular profiling reveal detailed input pathways and functionally distinct cell types in the subthalamic nucleus. Cell Reports. 38(9). 110439–110439. 16 indexed citations

10.

Nassir, Che Mohd Nasril Che Mohd, Sabarisah Hashim, Jia Hui Wong, et al.. (2021). Diets and Cellular-Derived Microparticles: Weighing a Plausible Link With Cerebral Small Vessel Disease. Frontiers in Cardiovascular Medicine. 8. 632131–632131. 8 indexed citations

11.

Feng, Linqing, et al.. (2019). Robust Nucleus Detection With Partially Labeled Exemplars. IEEE Access. 7. 162169–162178. 7 indexed citations

12.

Feng, Linqing, Victor V. Uteshev, & Louis S. Premkumar. (2019). Expression and Function of Transient Receptor Potential Ankyrin 1 Ion Channels in the Caudal Nucleus of the Solitary Tract. International Journal of Molecular Sciences. 20(9). 2065–2065. 3 indexed citations

13.

Kwon, O‐Sung, Linqing Feng, Shaul Druckmann, & Jinhyun Kim. (2018). Schaffer Collateral Inputs to CA1 Excitatory and Inhibitory Neurons Follow Different Connectivity Rules. Journal of Neuroscience. 38(22). 5140–5152. 18 indexed citations

14.

Feng, Linqing, Ting Zhao, & Jinhyun Kim. (2015). neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format. eNeuro. 2(1). ENEURO.0049–14.2014. 182 indexed citations

15.

Feng, Linqing, Ting Zhao, & Jong Hak Kim. (2015). neuTube 1.0: A New Design for Efficient Neuron Reconstruction Software Based on the SWC Format. eNeuro. 2(1). 11 indexed citations

16.

Druckmann, Shaul, Linqing Feng, Bokyoung Lee, et al.. (2014). Structured Synaptic Connectivity between Hippocampal Regions. Neuron. 81(3). 629–640. 138 indexed citations

17.

Yang, Yi, et al.. (2012). Application of microscopical techniques in the study of autolysosome dynamics in PC12 neurites. Journal of Microscopy. 249(2). 93–98. 1 indexed citations

18.

Feng, Linqing, Evgeny A. Sametsky, Alexander G. Gusev, & Victor V. Uteshev. (2012). Responsiveness to nicotine of neurons of the caudal nucleus of the solitary tract correlates with the neuronal projection target. Journal of Neurophysiology. 108(7). 1884–1894. 8 indexed citations

19.

Liu, Xiaoyu, Linqing Feng, Ming Yan, et al.. (2010). Changes in mitochondrial dynamics during amyloid β-induced PC12 cell apoptosis. Molecular and Cellular Biochemistry. 344(1-2). 277–284. 10 indexed citations

20.

Feng, Linqing, Yingke Xu, Yi Yang, & Xiaoxiang Zheng. (2010). Multiple dense particle tracking in fluorescence microscopy images based on multidimensional assignment. Journal of Structural Biology. 173(2). 219–228. 36 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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