Xing Qian

732 total citations
26 papers, 430 citations indexed

About

Xing Qian is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Xing Qian has authored 26 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Xing Qian's work include Functional Brain Connectivity Studies (13 papers), Neurological disorders and treatments (5 papers) and Neural dynamics and brain function (4 papers). Xing Qian is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Neurological disorders and treatments (5 papers) and Neural dynamics and brain function (4 papers). Xing Qian collaborates with scholars based in Singapore, China and United States. Xing Qian's co-authors include Juan Zhou, Cuntai Guan, Luming Li, Hongwei Hao, Siwei Liu, Hui Li Koh, F. Xavier Castellanos, Daniel Fung, Choon Guan Lim and Yue Chen and has published in prestigious journals such as NeuroImage, Scientific Reports and PLoS Biology.

In The Last Decade

Xing Qian

26 papers receiving 423 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xing Qian Singapore 10 266 93 82 71 63 26 430
Akira Hashizume Japan 14 256 1.0× 125 1.3× 117 1.4× 56 0.8× 109 1.7× 59 563
Giuseppe Noce Italy 12 262 1.0× 74 0.8× 54 0.7× 45 0.6× 31 0.5× 33 478
Paolo Misci Italy 5 354 1.3× 65 0.7× 45 0.5× 213 3.0× 75 1.2× 6 600
Jeroen Van Schependom Belgium 16 255 1.0× 80 0.9× 53 0.6× 102 1.4× 131 2.1× 55 728
Matthew Rosenberg United States 6 258 1.0× 32 0.3× 95 1.2× 85 1.2× 62 1.0× 8 407
Ana Coito Switzerland 11 479 1.8× 137 1.5× 69 0.8× 76 1.1× 36 0.6× 19 547
Jiannan Kang China 15 560 2.1× 129 1.4× 87 1.1× 56 0.8× 55 0.9× 44 876
Chien‐Chen Chou Taiwan 10 92 0.3× 103 1.1× 48 0.6× 52 0.7× 43 0.7× 30 364
Ryuta Kinno Japan 13 234 0.9× 71 0.8× 28 0.3× 92 1.3× 120 1.9× 42 484

Countries citing papers authored by Xing Qian

Since Specialization
Citations

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

Fields of papers citing papers by Xing Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing Qian. 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 Xing Qian. The network helps show where Xing Qian may publish in the future.

Co-authorship network of co-authors of Xing Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Qian. A scholar is included among the top collaborators of Xing Qian 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 Xing Qian. Xing Qian 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
1.
Ng, Kwun Kei, Xing Qian, Siwei Liu, et al.. (2024). Rate of brain aging associates with future executive function in Asian children and older adults. eLife. 13. 1 indexed citations
2.
Qian, Xing & Juan Zhou. (2024). Imaging lifespan brain structural growth: From region, to connectome, to gradient. PLoS Biology. 22(6). e3002669–e3002669. 2 indexed citations
3.
Ng, Kwun Kei, Siwei Liu, Xing Qian, et al.. (2024). Differential spatial working memory–related functional network reconfiguration in young and older adults. Network Neuroscience. 8(2). 395–417. 1 indexed citations
4.
Friedrich, Patrick, Xuan Li, Kaustubh R. Patil, et al.. (2023). Naturalistic viewing increases individual identifiability based on connectivity within functional brain networks. NeuroImage. 273. 120083–120083. 4 indexed citations
5.
Kong, Ru, Aihuiping Xue, Qing Yang, et al.. (2023). Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. NeuroImage. 273. 120010–120010. 34 indexed citations
6.
Qian, Xing, Kwun Kei Ng, Marcus Qin Wen Ong, et al.. (2023). Variations in Cortical Functional Gradients Relate to Dimensions of Psychopathology in Preschool Children. Journal of the American Academy of Child & Adolescent Psychiatry. 63(1). 80–89. 3 indexed citations
7.
Ng, Kok Pin, Xing Qian, Kwun Kei Ng, et al.. (2022). Stage-dependent differential influence of metabolic and structural networks on memory across Alzheimer’s disease continuum. eLife. 11. 2 indexed citations
8.
Ng, Kwun Kei, Xing Qian, Fang Ji, et al.. (2021). Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke. Scientific Reports. 11(1). 8442–8442. 35 indexed citations
9.
Ng, Adeline Su Lyn, Juan Wang, Kwun Kei Ng, et al.. (2021). Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia. Alzheimer s Research & Therapy. 13(1). 13–13. 35 indexed citations
10.
Qian, Xing, Siwei Liu, Kang Sim, et al.. (2021). Structural and diffusion MRI based schizophrenia classification using 2D pretrained and 3D naive Convolutional Neural Networks. Schizophrenia Research. 243. 330–341. 38 indexed citations
11.
Qian, Xing, Fang Ji, Kwun Kei Ng, et al.. (2021). Brain white matter extracellular free-water increases are related to reduced neurocognitive function in systemic lupus erythematosus. Lara D. Veeken. 61(3). 1166–1174. 6 indexed citations
12.
Veldsman, Michele, Fang Ji, Emilio Werden, et al.. (2020). Degeneration of structural brain networks is associated with cognitive decline after ischaemic stroke. Brain Communications. 2(2). fcaa155–fcaa155. 10 indexed citations
13.
Qian, Xing, F. Xavier Castellanos, Siwei Liu, et al.. (2018). Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder. Translational Psychiatry. 8(1). 149–149. 64 indexed citations
14.
Qian, Xing, F. Xavier Castellanos, Lucina Q. Uddin, et al.. (2018). Large-scale brain functional network topology disruptions underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder. NeuroImage Clinical. 21. 101600–101600. 65 indexed citations
15.
Guan, Shanghui, Jianjun Ma, Xing Qian, et al.. (2018). Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer. Translational Oncology. 11(6). 1358–1363. 5 indexed citations
16.
Qian, Xing, et al.. (2016). Response of Rat Tibia to Prolonged Unloading Under the Influence of Electrical Stimulation at the Dorsal Root Ganglion. Neuromodulation Technology at the Neural Interface. 20(3). 284–289. 7 indexed citations
17.
Qian, Xing, et al.. (2016). A Method for Removal of Deep Brain Stimulation Artifact From Local Field Potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(12). 2217–2226. 42 indexed citations
18.
Qian, Xing, et al.. (2014). Implanted rechargeable electroencephalography (EEG) device. Electronics Letters. 50(20). 1419–1421. 11 indexed citations
20.
Qian, Xing, et al.. (2011). Study on DBS device for small animals. PubMed. 2011. 6773–6776. 6 indexed citations

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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