Xi Jiang

9.2k total citations
272 papers, 5.6k citations indexed

About

Xi Jiang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Xi Jiang has authored 272 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Cognitive Neuroscience, 93 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Molecular Biology. Recurrent topics in Xi Jiang's work include Functional Brain Connectivity Studies (109 papers), Advanced Neuroimaging Techniques and Applications (64 papers) and Neural dynamics and brain function (58 papers). Xi Jiang is often cited by papers focused on Functional Brain Connectivity Studies (109 papers), Advanced Neuroimaging Techniques and Applications (64 papers) and Neural dynamics and brain function (58 papers). Xi Jiang collaborates with scholars based in China, United States and Germany. Xi Jiang's co-authors include Tianming Liu, Lei Guo, Tuo Zhang, Dajiang Zhu, Junwei Han, Xintao Hu, Jinglei Lv, Shu Zhang, Xiang Li and Mary K. Estes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xi Jiang

247 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Jiang China 40 1.9k 1.2k 940 789 462 272 5.6k
Xiao Xiao China 36 316 0.2× 588 0.5× 447 0.5× 1.2k 1.5× 121 0.3× 216 5.2k
I. Berry France 42 1.1k 0.6× 1.7k 1.5× 79 0.1× 914 1.2× 234 0.5× 184 6.5k
Yuyan Chen China 40 661 0.4× 329 0.3× 378 0.4× 2.0k 2.5× 116 0.3× 205 6.0k
Michael Henry Ireland 52 1.2k 0.7× 354 0.3× 92 0.1× 3.7k 4.7× 222 0.5× 238 10.8k
Herbert F. Jelinek Australia 39 610 0.3× 2.0k 1.7× 87 0.1× 818 1.0× 1.6k 3.5× 360 7.7k
Michael A. Jacobs United States 58 560 0.3× 4.0k 3.3× 267 0.3× 2.8k 3.5× 262 0.6× 190 10.9k
Takeshi Kubo Japan 53 1.2k 0.6× 984 0.8× 369 0.4× 2.9k 3.7× 336 0.7× 594 12.8k
David A. Stone United Kingdom 51 471 0.3× 180 0.2× 88 0.1× 1.4k 1.8× 269 0.6× 437 12.2k
Christopher M. Brown United States 36 334 0.2× 392 0.3× 82 0.1× 735 0.9× 203 0.4× 127 7.6k
Edgar Brunner Germany 39 695 0.4× 153 0.1× 90 0.1× 582 0.7× 175 0.4× 128 6.2k

Countries citing papers authored by Xi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Jiang. A scholar is included among the top collaborators of Xi Jiang 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 Xi Jiang. Xi Jiang 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.
Liu, Yu, Xinran Wu, Xi Jiang, et al.. (2025). Neural, cognitive and psychopathological signatures of a prosocial or delinquent peer environment during early adolescence. Developmental Cognitive Neuroscience. 73. 101566–101566.
2.
Zhou, Jingchao, Yuzhong Chen, W. F. Mader, et al.. (2024). Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction. Neural Networks. 179. 106592–106592. 2 indexed citations
3.
4.
Liao, Wenxiong, Zhengliang Liu, Haixing Dai, et al.. (2024). Mask-guided BERT for few-shot text classification. Neurocomputing. 610. 128576–128576. 17 indexed citations
5.
Jiang, Xi, et al.. (2024). Global, regional, and national burden of atrial fibrillation/flutter related to metabolic risks over three decades: estimates from the global burden of disease study 2019. European Heart Journal - Quality of Care and Clinical Outcomes. 10(5). 391–401. 8 indexed citations
6.
7.
Zhao, Lin, Haixing Dai, Zihao Wu, et al.. (2024). Hierarchical functional differences between gyri and sulci at different scales. Cerebral Cortex. 34(3). 1 indexed citations
8.
Zhong, Jingtao, Ju Huyan, Weiguang Zhang, et al.. (2023). A deeper generative adversarial network for grooved cement concrete pavement crack detection. Engineering Applications of Artificial Intelligence. 119. 105808–105808. 69 indexed citations
9.
Jiang, Bin, Yang‐Yang Qian, Yuan‐Chen Wang, et al.. (2023). A novel capsule endoscopy for upper and mid-GI tract: the UMGI capsule. BMC Gastroenterology. 23(1). 76–76. 4 indexed citations
10.
Su, Wenting, Congyan Liu, Xi Jiang, et al.. (2023). An intravitreal-injectable hydrogel depot doped borneol-decorated dual-drug-coloaded microemulsions for long-lasting retina delivery and synergistic therapy of wAMD. Journal of Nanobiotechnology. 21(1). 71–71. 16 indexed citations
11.
Zhao, Lin, Changhe Li, Shu Zhang, et al.. (2023). Prediction of cognitive scores by joint use of movie-watching fMRI connectivity and eye tracking via Attention-CensNet. PubMed. 3. kkad011–kkad011. 4 indexed citations
12.
Chen, Yuzhong, et al.. (2023). Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus. Computers in Biology and Medicine. 168. 107747–107747.
13.
Jiang, Xi, et al.. (2023). Effect of Statins on Major Adverse Cardiovascular Events in Patients with Coronary Artery Spasm: A Meta-Analysis of the Asia Region. Cardiovascular Therapeutics. 2023. 1–12. 4 indexed citations
14.
Zhang, Songyao, Tuo Zhang, Jingchao Zhou, et al.. (2023). Species -shared and -unique gyral peaks on human and macaque brains. eLife. 12.
15.
Liu, Tingting, Tao Han, Congyan Liu, et al.. (2023). Polyporus umbellatus polysaccharide iron-based nanocomposite for synergistic M1 polarization of TAMs and combinational anti-breast cancer therapy. International Journal of Biological Macromolecules. 251. 126323–126323. 18 indexed citations
16.
Zhao, Lin, Haixing Dai, Zihao Wu, et al.. (2023). Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 584–594. 2 indexed citations
17.
Chen, Yuzhong, Tuo Zhang, Zhongbo Zhao, et al.. (2022). Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7275–7286. 57 indexed citations
18.
Wang, Yuan‐Chen, Jun Pan, Yawei Liu, et al.. (2020). Adverse events of video capsule endoscopy over the past two decades: a systematic review and proportion meta-analysis. BMC Gastroenterology. 20(1). 51 indexed citations
19.
Zhang, Tuo, Jun Kong, Ke Jing, et al.. (2018). Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data. Computerized Medical Imaging and Graphics. 69. 9–20. 3 indexed citations
20.
Zhang, Shu, Huan Liu, Heng Huang, et al.. (2018). Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Transactions on Biomedical Engineering. 66(5). 1297–1308. 19 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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