Ning-long Xu

2.8k citations
22 papers · 1.4k indexed · h-index 14

Impact in

    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • EEG and Brain-Computer Interfaces
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research
    • Neurobiology and Insect Physiology Research

Papers in

    • Neural dynamics and brain function 19
    • Visual perception and processing mechanisms 5
    • Memory and Neural Mechanisms 4
    • Neural and Behavioral Psychology Studies 3
    • Neuroscience and Neuropharmacology Research 8
    • Neuroscience and Neural Engineering 4
    • Neurobiology and Insect Physiology Research 3
    • Photoreceptor and optogenetics research 2

Ning-long Xu

22 papers receiving 1.4k citations

Peers

Ning-long Xu
Comparison fields: 5 of 90
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 986
  • Sensory Systems 113
  • Biophysics 68
  • Neurology 95
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Citations per field
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Citations per year

Countries citing papers authored by Ning-long Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ning-long Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning-long Xu. 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 Ning-long Xu. The network helps show where Ning-long Xu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ning-long Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning-long Xu Line = papers co-authored together Ning-long Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20245
4 20241
5 20223
6 202212
7 202123
8 202122
9 202116
10 201951
11 201950
12 201857
13 201822
14 2014277
15 201346
16 2013106
17 2012357
18 2012242
19 200628
20 2003110

About Ning-long Xu

Ning-long Xu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Neurology and Biophysics, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Neuroscience and Neuropharmacology Research (8 papers), Visual perception and processing mechanisms (5 papers), Memory and Neural Mechanisms (4 papers), Neuroscience and Neural Engineering (4 papers), Neurobiology and Insect Physiology Research (3 papers), Neural and Behavioral Psychology Studies (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (986 citations), Sensory Systems (113 citations), Biophysics (68 citations) and Neurology (95 citations). Ning-long Xu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Daniel Huber, Karel Svoboda, Jeffrey C. Magee, Stephen R. Williams, Mark T. Harnett, Daniel H. O’Connor, Diego A. Gutnisky, Leopoldo Petreanu, Lin Tian and Loren L. Looger. Their work appears in journals such as Neuron, Journal of Neuroscience, Cell Reports, Nature Neuroscience and Nature.

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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