X.-J. Wang

2.5k citations
14 papers · 1.9k · h-index 13

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • Memory and Neural Mechanisms
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering

Papers in

X.-J. Wang

13 papers receiving 1.8k citations

Peers

X.-J. Wang
Comparison fields: 5 of 93
  • Cognitive Neuroscience 1.4k
  • Cellular and Molecular Neuroscience 785
  • Statistical and Nonlinear Physics 353
  • Psychiatry and Mental health 204
  • Biological Psychiatry 23
Replace Tara C. Thiagarajan with:
Tara C. Thiagarajan United States
SS Nagarajan United States
Jürgen Fell Germany
Matthias H. Munk Germany
Alexandros Goulas Germany
Søren Rahn Christensen Denmark
Adrián Ponce‐Alvarez Spain
Ryan T. Canolty United States
Tal Kenet United States
Frédéric Roux United Kingdom
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Citations per field
00.5×1.5×1.9×
Tara C. Thiagarajan · 1×
Citations per year

Countries citing papers authored by X.-J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by X.-J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X.-J. Wang. 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 X.-J. Wang. The network helps show where X.-J. Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside X.-J. Wang, 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 X.-J. Wang Line = papers co-authored together X.-J. Wang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004303
2 2010300
3 1993213
4 2012191
5 2000176
6 1993145
7 1999139
8 1994126
9 1998117
10 199488
11 200752
12 201429
13 200312
14 20250

About X.-J. Wang

X.-J. Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics and Surgery, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (4 papers), Memory and Neural Mechanisms (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Neuroscience and Neural Engineering (1 paper), Mental Health and Psychiatry (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (785 citations), Statistical and Nonlinear Physics (353 citations), Psychiatry and Mental health (204 citations) and Biological Psychiatry (23 citations). X.-J. Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John Rinzel, John H. Krystal, Philip R. Corlett, Jesper Tegnér, Christos Constantinidis, Patricia S. Goldman‐Rakic, Jane R. Taylor, Paul C. Fletcher, Sacha B. Nelson and Chris M. Hempel. Their work appears in journals such as Neuroscience, Cerebral Cortex, Progress in Neurobiology, Proceedings of the National Academy of Sciences and Physica D Nonlinear Phenomena.

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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