Linqing Feng

1.1k citations
39 papers · 670 indexed · h-index 13
Topics
Neural dynamics and brain function (8 papers)Neuroscience and Neural Engineering (6 papers)Cell Image Analysis Techniques (6 papers)

In The Last Decade

Linqing Feng

35 papers receiving 664 citations

Peers

Linqing Feng
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 283
  • Molecular Biology 204
  • Cognitive Neuroscience 196
  • Biophysics 166
  • Electrical and Electronic Engineering 56
Replace Jacob R. Glaser with:
Jacob R. Glaser United States
Weijian Zong China
Nathan Clack United States
Mariya Chavarha United States
Qiuyuan Zhong China
Hansjörg Kasper Switzerland
Ikuko T. Smith United States
Francisca Martínez Traub United States
Jennifer J. Hunter United States
Attila Kaszás Hungary
Linqing Feng relative to Jacob R. Glaser United States Jacob R. Glaser's profile →
Citations per field
00.5×10×15×18.7×
Jacob R. Glaser · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 0
4 0
5 2
6 1
7 2
8 16
9 3
10 8
11 7
12 3
13 18
14 182
15 138
16 1
17 15
18 10
19 36
20 17

About Linqing Feng

Linqing Feng is a scholar working on Biophysics, Structural Biology and Cognitive Neuroscience, having authored 39 papers that have together received 670 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (6 papers) and Cell Image Analysis Techniques (6 papers). The work is most often cited by research in Biophysics (166 citations), Cellular and Molecular Neuroscience (283 citations) and Cognitive Neuroscience (196 citations). Linqing Feng has collaborated with scholars based in China, South Korea and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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