Xiaojing Long

1.3k total citations
46 papers, 936 citations indexed

About

Xiaojing Long is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaojing Long has authored 46 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaojing Long's work include Ultrasound and Hyperthermia Applications (11 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Medical Image Segmentation Techniques (7 papers). Xiaojing Long is often cited by papers focused on Ultrasound and Hyperthermia Applications (11 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Medical Image Segmentation Techniques (7 papers). Xiaojing Long collaborates with scholars based in China, United States and Hong Kong. Xiaojing Long's co-authors include Chunxiang Jiang, Lijuan Zhang, Bensheng Qiu, Weiqi Liao, Ang Gao, Bowen Zheng, Lifang Chen, Hairong Zheng, Dong Liang and Jie Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaojing Long

41 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojing Long China 16 237 235 218 214 190 46 936
Jianfeng Qiu China 21 340 1.4× 566 2.4× 68 0.3× 269 1.3× 196 1.0× 120 1.5k
Mohammad Ali Oghabian Iran 18 357 1.5× 199 0.8× 111 0.5× 314 1.5× 90 0.5× 79 1.2k
Edward Ofori United States 24 393 1.7× 621 2.6× 164 0.8× 148 0.7× 92 0.5× 58 1.7k
Ali Yadollahpour Iran 17 196 0.8× 80 0.3× 132 0.6× 123 0.6× 53 0.3× 66 816
Heath Pardoe Australia 24 775 3.3× 512 2.2× 128 0.6× 205 1.0× 562 3.0× 58 1.8k
Carlos Ernesto Garrido Salmón Brazil 23 377 1.6× 385 1.6× 71 0.3× 180 0.8× 132 0.7× 103 1.6k
Jingjing Xu China 17 221 0.9× 198 0.8× 63 0.3× 83 0.4× 144 0.8× 84 967
Philippe Pouliot Canada 23 523 2.2× 623 2.7× 100 0.5× 456 2.1× 119 0.6× 66 1.6k
Pan Wang China 22 882 3.7× 622 2.6× 108 0.5× 127 0.6× 353 1.9× 67 1.5k

Countries citing papers authored by Xiaojing Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Long

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Long. A scholar is included among the top collaborators of Xiaojing Long 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 Xiaojing Long. Xiaojing Long 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.
Cai, Xin, Wei Sun, Xiaodan Zheng, et al.. (2025). Safety and efficacy of low intensity transcranial ultrasound stimulation for depression: A single-blind randomized controlled clinical study. Journal of Affective Disorders. 394(Pt B). 120666–120666.
2.
Hagiwara, Akifumi, Pin Lv, Jiahuan Liu, et al.. (2025). Low‐Intensity Focused Ultrasound Ameliorates Cisplatin‐Induced Cognitive Impairment by Attenuating Hippocampal Neuroinflammation and Enhancing Synaptic Plasticity in Rats. SHILAP Revista de lepidopterología. 3(2). 152–167. 2 indexed citations
3.
4.
Zhang, Bing, et al.. (2024). MG-Net: A fetal brain tissue segmentation method based on multiscale feature fusion and graph convolution attention mechanisms. Computer Methods and Programs in Biomedicine. 257. 108451–108451.
5.
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Zuo, Zhentao, et al.. (2023). Excitatory‐inhibitory modulation of transcranial focus ultrasound stimulation on human motor cortex. CNS Neuroscience & Therapeutics. 29(12). 3829–3841. 19 indexed citations
7.
8.
Long, Xiaojing, et al.. (2023). RRAM-Based Precision-Scaleable Computing-In-Memory Scheme and Its Error Correction Approach. 521. 1–5. 1 indexed citations
9.
Tian, Ye, et al.. (2022). Optical performance monitoring using SOI-based spectral analysis. Optics Express. 30(4). 6397–6397. 4 indexed citations
10.
Zhang, Jie, Bowen Zheng, Ang Gao, et al.. (2021). A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification. Magnetic Resonance Imaging. 78. 119–126. 123 indexed citations
11.
Zhou, Hui, Xiaojing Long, Yangzi Qiao, et al.. (2021). Feasibility of ultrasound-induced blood-brain barrier disruption with a single-element transducer under three different frequencies in two non-human primates in vivo: Case report. Journal of Neuroscience Methods. 365. 109383–109383. 3 indexed citations
12.
Wei, Yarui, Ling Mei, Xiaojing Long, et al.. (2020). Functional MRI Investigation of Ultrasound Stimulation at ST 36. Evidence-based Complementary and Alternative Medicine. 2020(1). 6794013–6794013. 4 indexed citations
13.
Long, Xiaojing, Chunxiang Jiang, & Lijuan Zhang. (2018). Morphological Biomarker Differentiating MCI Converters from Nonconverters: Longitudinal Evidence Based on Hemispheric Asymmetry. Behavioural Neurology. 2018. 1–9. 13 indexed citations
14.
Lou, Xin, Xiaoxiao Ma, David S. Liebeskind, et al.. (2017). Collateral perfusion using arterial spin labeling in symptomatic versus asymptomatic middle cerebral artery stenosis. Journal of Cerebral Blood Flow & Metabolism. 39(1). 108–117. 27 indexed citations
15.
Wang, Xi, Bin Cai, Yang Cao, et al.. (2016). Objective method for evaluating orthodontic treatment from the lay perspective: An eye-tracking study. American Journal of Orthodontics and Dentofacial Orthopedics. 150(4). 601–610. 41 indexed citations
16.
Jiang, Chunxiang, et al.. (2016). Diurnal Variations in Neural Activity of Healthy Human Brain Decoded with Resting-State Blood Oxygen Level Dependent fMRI. Frontiers in Human Neuroscience. 10. 634–634. 27 indexed citations
17.
Liao, Weiqi, Xiaojing Long, Chunxiang Jiang, et al.. (2014). Discerning Mild Cognitive Impairment and Alzheimer Disease from Normal Aging. Academic Radiology. 21(5). 597–604. 7 indexed citations
18.
Long, Xiaojing, Weiqi Liao, Chunxiang Jiang, et al.. (2012). Healthy Aging. Academic Radiology. 19(7). 785–793. 92 indexed citations
19.
Wan, Qian, Lisi Xie, Lin Gao, et al.. (2012). Self-assembled magnetic theranostic nanoparticles for highly sensitive MRI of minicircle DNA delivery. Nanoscale. 5(2). 744–752. 49 indexed citations
20.
Long, Xiaojing, et al.. (1998). [A study on the clinical curative effect by acupuncture for myofascial pain dysfunction syndrome].. PubMed. 33(5). 273–5. 4 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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