Ting Xu

7.4k citations
167 papers · 4.3k indexed · 5 hit papers · h-index 31
Topics
Functional Brain Connectivity Studies (53 papers)Neural dynamics and brain function (23 papers)Advanced Neuroimaging Techniques and Applications (16 papers)

In The Last Decade

Ting Xu

146 papers receiving 4.2k citations

Hit Papers

Toward reliable characterization of functional homogeneit...201220262016202120122020202120242025100200300400

Peers

Ting Xu
Comparison fields: 5 of 170
  • Cognitive Neuroscience 2.6k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Experimental and Cognitive Psychology 652
  • Psychiatry and Mental health 462
  • Clinical Psychology 369
Replace Mingli Li with:
Mingli Li China
Edson Amaro Brazil
Federico D’Agata Italy
Simon P. Kelly Ireland
David M. Schnyer United States
John W. VanMeter United States
David C. Zhu United States
Tomohisa Okada Japan
Zhengyi Yang China
Ting Xu relative to Mingli Li China Mingli Li's profile →
Citations per field
00.5×7.2×
Mingli Li · 1×
Citations per year

Countries citing papers authored by Ting Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Xu. A scholar is included among the top collaborators of Ting Xu 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 Ting Xu. Ting Xu 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 1
5 3
6 15
7 0
8 30
9 2
10 1
11 8
12 8
13 10
14 13
15
BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasetsbreakdown →
325
16 28
17 21
18 224
19 68
20
PROSPECTIVE MEMORY IN SCHIZOPHRENIA AND THEIR NON-PSYCHOTIC FIRST-DEGREE RELATIVES
1

About Ting Xu

Ting Xu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging, having authored 167 papers that have together received 4.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (53 papers), Neural dynamics and brain function (23 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Experimental and Cognitive Psychology (652 citations). Ting Xu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xi‐Nian Zuo, Michael P. Milham, Zhi Yang, Lili Jiang, Yong He, Xiaoyan Cao, Yu‐Feng Zang, F. Xavier Castellanos, Chuanling Si and Daniel S. Margulies. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

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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