Xue-Lian Qi

1.6k citations
33 papers · 996 indexed · h-index 19
Topics
Neural dynamics and brain function (26 papers)Neural and Behavioral Psychology Studies (22 papers)Memory and Neural Mechanisms (22 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

Xue-Lian Qi

31 papers receiving 992 citations

Peers

Xue-Lian Qi
Comparison fields: 5 of 66
  • Cognitive Neuroscience 916
  • Cellular and Molecular Neuroscience 234
  • Experimental and Cognitive Psychology 70
  • Molecular Biology 59
  • Psychiatry and Mental health 57
Replace Liang-Tien Hsieh with:
Liang-Tien Hsieh United States
Elise Demeter United States
Jared Stokes United States
Adam Messinger United States
Jens G. Klinzing Germany
Ingrid L.C. Nieuwenhuis Netherlands
Rachel A. Mak-McCully United States
Daniel N. Barry United Kingdom
Lukas Kunz Germany
S. Karakaş Türkiye
Xue-Lian Qi relative to Liang-Tien Hsieh United States Liang-Tien Hsieh's profile →
Citations per field
00.5×10×14.8×
Liang-Tien Hsieh · 1×
Citations per year

Countries citing papers authored by Xue-Lian Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xue-Lian Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xue-Lian Qi. 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 Xue-Lian Qi. The network helps show where Xue-Lian Qi may publish in the future.

Co-authorship network of co-authors of Xue-Lian Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Xue-Lian Qi. A scholar is included among the top collaborators of Xue-Lian Qi 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 Xue-Lian Qi. Xue-Lian Qi 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 0
2 1
3 0
4 27
5 5
6 13
7 168
8 25
9 32
10 33
11 49
12 18
13 24
14 36
15 24
16 45
17 103
18 59
19 9
20 58

About Xue-Lian Qi

Xue-Lian Qi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 33 papers that have together received 996 indexed citations. Recurring topics across this work include Neural dynamics and brain function (26 papers), Neural and Behavioral Psychology Studies (22 papers) and Memory and Neural Mechanisms (22 papers). The work is most often cited by research in Cognitive Neuroscience (916 citations), Cellular and Molecular Neuroscience (234 citations) and Behavioral Neuroscience (21 citations). Xue-Lian Qi has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Christos Constantinidis, Terrence R. Stanford, Mitchell R. Riley, Xin Zhou, Travis Meyer, Ethan M. Meyers, Shintaro Funahashi, Min Wang, Daeyeol Lee and John D. Murray. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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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