Xiaojun Hu

767 total citations
18 papers, 461 citations indexed

About

Xiaojun Hu is a scholar working on Surgery, Transplantation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaojun Hu has authored 18 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Transplantation and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaojun Hu's work include Renal Transplantation Outcomes and Treatments (6 papers), Organ Transplantation Techniques and Outcomes (6 papers) and Organ Donation and Transplantation (4 papers). Xiaojun Hu is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Organ Transplantation Techniques and Outcomes (6 papers) and Organ Donation and Transplantation (4 papers). Xiaojun Hu collaborates with scholars based in China, United States and Switzerland. Xiaojun Hu's co-authors include Matthew R. Scott, Weilin Huang, Xintong Han, Miao Kang, Mauricio Reyes, Chenguang Ding, Wujun Xue, Yang Li, Puxun Tian and Li Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Ethnopharmacology.

In The Last Decade

Xiaojun Hu

17 papers receiving 443 citations

Peers

Xiaojun Hu
Kai Han China
Irena Galić Croatia
Zhuotun Zhu United States
Xiaojun Hu
Citations per year, relative to Xiaojun Hu Xiaojun Hu (= 1×) peers Mónica Hernández

Countries citing papers authored by Xiaojun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Hu

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

All Works

18 of 18 papers shown
1.
Hu, Xiaojun, Rong Luo, Lei Fan, et al.. (2025). Therapeutic Potential of Dexmedetomidine in Neuropsychiatric Disorders: From the Bench to the Clinic. Current Neuropharmacology. 23(8). 929–942. 1 indexed citations
5.
Kang, Miao, Xiaojun Hu, Weilin Huang, Matthew R. Scott, & Mauricio Reyes. (2022). Dual-stream pyramid registration network. Medical Image Analysis. 78. 102379–102379. 79 indexed citations
6.
Li, Bing, Junjie Mao, Xiaojun Hu, et al.. (2022). Hemodialysis Arteriovenous Fistula Dysfunction: Retrospective Comparison of Post-thrombotic Percutaneous Endovascular Interventions with Pre-emptive Angioplasty. Annals of Vascular Surgery. 84. 286–297. 4 indexed citations
7.
Chen, Hao, Xiaojun Hu, & J. Oberst. (2022). PIXEL-RESOLUTION DTM GENERATION FOR THE LUNAR SURFACE BASED ON A COMBINED DEEP LEARNING AND SHAPE-FROM-SHADING (SFS) APPROACH. SHILAP Revista de lepidopterología. V-3-2022. 511–516. 7 indexed citations
8.
Hu, Xiaojun, Chenguang Ding, Xiaoming Ding, et al.. (2020). Inhibition of myeloid differentiation protein 2 attenuates renal ischemia/reperfusion-induced oxidative stress and inflammation via suppressing TLR4/TRAF6/NF-kB pathway. Life Sciences. 256. 117864–117864. 25 indexed citations
10.
Hao, Yanbin, et al.. (2020). Compact Bilinear Augmented Query Structured Attention for Sport Highlights Classification. 628–636. 13 indexed citations
11.
Ding, Chenguang, Yang Li, Xiaojun Hu, et al.. (2020). Prediction of Chronic Kidney Disease Using Adaptive Hybridized Deep Convolutional Neural Network on the Internet of Medical Things Platform. IEEE Access. 8. 100497–100508. 66 indexed citations
12.
Li, Yang, Xiaoming Ding, Xiaohui Tian, et al.. (2020). Islet transplantation modulates macrophage to induce immune tolerance and angiogenesis of islet tissue in type I diabetes mice model. Aging. 12(23). 24023–24032. 13 indexed citations
13.
Han, Xintong, Weilin Huang, Xiaojun Hu, & Matthew R. Scott. (2019). ClothFlow: A Flow-Based Model for Clothed Person Generation. 10470–10479. 155 indexed citations
14.
Hu, Xiaojun, Jin Zheng, Yang Li, et al.. (2019). Prediction of kidney transplant outcome based on different DGF definitions in Chinese deceased donation. BMC Nephrology. 20(1). 409–409. 13 indexed citations
15.
Liu, Hanwei, Yan Yan, Pengfei Pang, et al.. (2019). Angong Niuhuang Pill as adjuvant therapy for treating acute cerebral infarction and intracerebral hemorrhage: A meta-analysis of randomized controlled trials. Journal of Ethnopharmacology. 237. 307–313. 38 indexed citations
16.
Hu, Xiaojun, et al.. (2019). Comparison of nighttime and daytime operation on outcomes of kidney transplant with deceased donors. Chinese Medical Journal. 132(4). 395–404. 10 indexed citations
17.
Ding, Chenguang, Yang Li, Xiaohui Tian, et al.. (2018). Predictive Score Model for Delayed Graft Function Based on Hypothermic Machine Perfusion Variables in Kidney Transplantation. Chinese Medical Journal. 131(22). 2651–2657. 7 indexed citations
18.
Chen, Shizhe, et al.. (2014). Multi-shot Person Re-identification with Automatic Ambiguity Inference and Removal. 3540–3545. 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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