Xiaoqi Wang
Neuroscience · The Ohio State University
Publications
25
Citations
459
Est. group size
~1
Recurring co-author estimate
Active years
9
Publishing since 2018
This publication record spans a wide mix of subjects, including brain imaging studies of cognitive decline and memory, machine learning and visual analytics tools, and unrelated topics like microbiome research, atmospheric monitoring, and plant biology. The core neuroscience-related work focuses on brain connectivity, functional MRI/fNIRS, and cognitive impairment in aging and dialysis populations. Given the breadth of unrelated fields represented, this may reflect a common author name shared across multiple researchers rather than a single coherent research program.
Publication output has grown unevenly from 0-1 papers per year around 2017-2019 to roughly 3-5 papers per year since 2021, suggesting a generally increasing but variable pace over the last decade.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Association between NPAR and cognitive impairment in peritoneal dialysis patients
Frontiers in Nutrition · 2026
- Root economic space is associated with rhizosphere microbial divergence via root metabolite‐mediated pathways in degraded grasslands
Functional Ecology · 2026
- Transcranial photobiomodulation improves functional brain networks and working memory in healthy older adults: An fNIRS study
NeuroImage · 2025
- From metabolic fingerprints to field solutions: engineering the apple rhizosphere microbiome via host-directed Bacillus recruitment for sustainable apple replant disease control
Microbiome · 2025
- VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels
IEEE Transactions on Visualization and Computer Graphics · 2025
- Machine learning in graft-versus-host disease: current applications and future frontiers
Blood and Genomics · 2025
- Research on cognitive impairment and potential risk factors in peritoneal dialysis patients: An observational study
Medicine · 2024
- Altered limbic functional connectivity in individuals with subjective cognitive decline: Converging and diverging findings across Chinese and German cohorts
Alzheimer s & Dementia · 2023
- Retrieval of the aerosol extinction coefficient from scanning Scheimpflug lidar measurements for atmospheric pollution monitoring
Atmospheric Environment · 2023
- ECA-ConvNeXt: A Rice Leaf Disease Identification Model Based on ConvNeXt
2023
- A bibliometric analysis and visualization of spatially resolved transcriptomics
Blood and Genomics · 2023
- Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform
Optics Express · 2022
- Synthetic pathways of sinensetin and derivatives as an alternate source in biological activity study
Journal of Food Bioactives · 2022
- Compare and contrast: Detecting mammographic soft-tissue lesions with C <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msup> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msup> </mml:math> -Net
Medical Image Analysis · 2021
- Differences in Functional Brain Networks Between Subjective Cognitive Decline with and without Worry Groups: A Graph Theory Study from SILCODE
Journal of Alzheimer s Disease · 2021
- arXiv (Cornell University)×3
- IEEE Computer Graphics and Applications×2
- Alzheimer s & Dementia×2
- IEEE Transactions on Visualization and Computer Graphics×2
- Blood and Genomics×2
- Di Wu
Neuroscience · Indiana University
- Evgeny J. Chumin
Neuroscience · Indiana University
- Changchang Ding
Neuroscience · Indiana University
- Colleen Hughes
Neuroscience · Indiana University
- Michael R. McKenna
Neuroscience · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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