Long Xie

3.3k total citations · 1 hit paper
60 papers, 1.7k citations indexed

About

Long Xie is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Long Xie has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 27 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Physiology. Recurrent topics in Long Xie's work include Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (25 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). Long Xie is often cited by papers focused on Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (25 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). Long Xie collaborates with scholars based in United States, Sweden and France. Long Xie's co-authors include David A. Wolk, Paul A. Yushkevich, Sandhitsu R. Das, Laura E.M. Wisse, John Pluta, Song‐Lin Ding, Hongzhi Wang, Lauren Mancuso, Eske Christiane Gertje and John A. Detre and has published in prestigious journals such as NeuroImage, Brain and Annals of Neurology.

In The Last Decade

Long Xie

56 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment

2014 397 citations Paul A. Yushkevich, Hongzhi Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Xie United States	20	673	622	618	408	296	60	1.7k
Mohamad Habes United States	24	588 0.9×	807 1.3×	587 0.9×	521 1.3×	576 1.9×	93	2.5k
Martina Bocchetta United Kingdom	24	771 1.1×	679 1.1×	568 0.9×	415 1.0×	411 1.4×	70	2.1k
Derrek P. Hibar United States	24	480 0.7×	497 0.8×	576 0.9×	434 1.1×	167 0.6×	62	1.9k
Matthew Bobinski United States	19	936 1.4×	858 1.4×	485 0.8×	417 1.0×	297 1.0×	50	2.0k
Wanlin Zhu China	28	396 0.6×	733 1.2×	1.2k 2.0×	798 2.0×	276 0.9×	73	2.3k
Samantha Galluzzi Italy	29	884 1.3×	1.2k 1.9×	872 1.4×	651 1.6×	512 1.7×	68	2.7k
Ian B. Malone United Kingdom	21	574 0.9×	726 1.2×	541 0.9×	743 1.8×	305 1.0×	56	1.8k
Cristina Testa Italy	22	574 0.9×	814 1.3×	586 0.9×	363 0.9×	250 0.8×	37	1.7k
Giorgos B. Karas Netherlands	11	663 1.0×	989 1.6×	764 1.2×	572 1.4×	326 1.1×	15	1.8k
Suh Lee United States	12	521 0.8×	613 1.0×	442 0.7×	417 1.0×	164 0.6×	13	1.4k

Countries citing papers authored by Long Xie

Since Specialization

Citations

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

Fields of papers citing papers by Long Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Long Xie. A scholar is included among the top collaborators of Long Xie 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 Long Xie. Long Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Weiß, David, Long Xie, Jeffrey D. Rudie, et al.. (2025). Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability. Neuroinformatics. 23(1). 2–2.

Wuestefeld, Anika, Long Xie, Alexa Pichet Binette, et al.. (2025). Tau, atrophy, and domain‐specific cognitive impairment in typical Alzheimer's disease. Alzheimer s & Dementia. 21(7). e70511–e70511. 2 indexed citations

Yushkevich, Paul A., Ranjit Ittyerah, Yue Li, et al.. (2024). Morphometry of medial temporal lobe subregions using high‐resolution T2‐weighted MRI in ADNI3: Why, how, and what's next?. Alzheimer s & Dementia. 20(11). 8113–8128. 3 indexed citations

Xie, Long, Bogdan Georgescu, Eli Gibson, et al.. (2024). Deep Learning Based Detection of Large Vessel Occlusions in Acute Ischemic Stroke Using High-Resolution Photon Counting Computed Tomography and Conventional Multidetector Computed Tomography. Clinical Neuroradiology. 35(1). 185–195. 1 indexed citations

Hrybouski, Stanislau, Sandhitsu R. Das, Long Xie, et al.. (2023). Aging and Alzheimer’s disease have dissociable effects on local and regional medial temporal lobe connectivity. Brain Communications. 5(5). fcad245–fcad245. 11 indexed citations

Xie, Long, Sandhitsu R. Das, Laura E.M. Wisse, et al.. (2023). Baseline structural MRI and plasma biomarkers predict longitudinal structural atrophy and cognitive decline in early Alzheimer’s disease. Alzheimer s Research & Therapy. 15(1). 79–79. 14 indexed citations

Hrybouski, Stanislau, Sandhitsu R. Das, Long Xie, et al.. (2023). Aging and Alzheimer’s Disease Have Dissociable Effects on Local and Regional Medial Temporal Lobe Connectivity. Alzheimer s & Dementia. 19(S16). 1 indexed citations

Feng, Rui, Gaurav Verma, Sarah Rutter, et al.. (2023). Stress-related reduction of hippocampal subfield volumes in major depressive disorder: A 7-Tesla study. Frontiers in Psychiatry. 14. 1060770–1060770. 4 indexed citations

Zuroff, Leah, Laura E.M. Wisse, Sharon X. Xie, et al.. (2022). Self- and Partner-Reported Subjective Memory Complaints: Association with Objective Cognitive Impairment and Risk of Decline. Journal of Alzheimer s Disease Reports. 6(1). 411–430. 9 indexed citations

10.

Rudie, Jeffrey D., Jeffrey Duda, Michael Tran Duong, et al.. (2021). Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. Journal of Digital Imaging. 34(4). 1049–1058. 11 indexed citations

11.

Weiß, David, Long Xie, James C. Gee, et al.. (2021). Automated multiclass tissue segmentation of clinical brain MRIs with lesions. NeuroImage Clinical. 31. 102769–102769. 14 indexed citations

12.

Wisse, Laura E.M., Long Xie, Sandhitsu R. Das, et al.. (2021). Tau pathology mediates age effects on medial temporal lobe structure. Neurobiology of Aging. 109. 135–144. 12 indexed citations

13.

Wisse, Laura E.M., Robin de Florès, Long Xie, et al.. (2021). Pathological drivers of neurodegeneration in suspected non-Alzheimer’s disease pathophysiology. Alzheimer s Research & Therapy. 13(1). 100–100. 15 indexed citations

14.

Xie, Long, Sandhitsu R. Das, Jiancong Wang, et al.. (2021). DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease. NeuroImage. 243. 118514–118514. 12 indexed citations

15.

Rauschecker, Andreas M., Jeffrey D. Rudie, Long Xie, et al.. (2020). Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI. Radiology. 295(3). 626–637. 87 indexed citations

16.

Duong, Michael Tran, Jeffrey D. Rudie, Jiancong Wang, et al.. (2019). Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging. American Journal of Neuroradiology. 40(8). 1282–1290. 56 indexed citations

17.

Xie, Long, Laura E.M. Wisse, Sandhitsu R. Das, et al.. (2018). Characterizing Anatomical Variability and Alzheimer’s Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting. Lecture notes in computer science. 11167. 28–37. 6 indexed citations

18.

Das, Sandhitsu R., Long Xie, Laura E.M. Wisse, et al.. (2018). Longitudinal and cross-sectional structural magnetic resonance imaging correlates of AV-1451 uptake. Neurobiology of Aging. 66. 49–58. 54 indexed citations

19.

Xie, Long, Laura E.M. Wisse, Sandhitsu R. Das, et al.. (2016). Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. Lecture notes in computer science. 9901. 564–571. 27 indexed citations

20.

Xie, Long, Wei Chen, & Ling Jin. (2010). Report of Kaschin-Beck disease prevalence and selenium salt monitoring in Xi'an city from 2007 and 2008.. Xiandai yufang yixue. 37(5). 924–925. 1 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.

Explore authors with similar magnitude of impact