Jun Xia

6.5k total citations · 3 hit papers
124 papers, 4.0k citations indexed

About

Jun Xia is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Jun Xia has authored 124 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Neurology. Recurrent topics in Jun Xia's work include Cerebrospinal fluid and hydrocephalus (16 papers), Fetal and Pediatric Neurological Disorders (10 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). Jun Xia is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (16 papers), Fetal and Pediatric Neurological Disorders (10 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). Jun Xia collaborates with scholars based in China, United Kingdom and United States. Jun Xia's co-authors include Guang Yang, Qinghao Ye, Youbing Yin, Junjie Bai, Kunlin Cao, Xin Wang, Bin Kong, Zhenghan Fang, Qizhong Xu and Daliang Liu and has published in prestigious journals such as Environmental Science & Technology, Scientific Reports and Radiology.

In The Last Decade

Jun Xia

114 papers receiving 3.9k 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.

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy

2020 1.3k citations Lin Li, Lixin Qin et al. Radiology profile →
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

2021 457 citations Guang Yang, Qinghao Ye et al. profile →
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

2020 276 citations Jun Xia, Guang Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Xia China	25	2.0k	1.2k	526	523	464	124	4.0k
Marcus R. Makowski Germany	38	3.1k 1.5×	1.2k 1.0×	799 1.5×	405 0.8×	1.4k 3.1×	362	6.7k
Kim Ramasamy India	28	4.3k 2.1×	1.2k 1.0×	658 1.3×	483 0.9×	424 0.9×	141	7.1k
Narges Razavian United States	14	1.2k 0.6×	1.4k 1.2×	202 0.4×	343 0.7×	371 0.8×	39	2.7k
Rickmer Braren Germany	29	1.2k 0.6×	955 0.8×	406 0.8×	571 1.1×	308 0.7×	131	3.5k
Rajiv Raman India	34	5.6k 2.8×	1.2k 1.0×	701 1.3×	402 0.8×	403 0.9×	232	8.8k
Marc Coram United States	19	2.9k 1.5×	1.2k 1.0×	648 1.2×	756 1.4×	429 0.9×	30	6.2k
Yun Liu United States	29	2.4k 1.2×	2.0k 1.6×	877 1.7×	508 1.0×	484 1.0×	112	5.4k
Qingyu Chen China	27	608 0.3×	895 0.7×	244 0.5×	835 1.6×	151 0.3×	134	3.0k
Rahul C. Deo United States	30	1.1k 0.6×	692 0.6×	729 1.4×	2.2k 4.1×	665 1.4×	61	7.3k
Eric K. Oermann United States	32	1.1k 0.5×	775 0.6×	650 1.2×	449 0.9×	1.1k 2.3×	122	4.6k

Countries citing papers authored by Jun Xia

Since Specialization

Citations

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

Fields of papers citing papers by Jun Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xia. A scholar is included among the top collaborators of Jun Xia 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 Jun Xia. Jun Xia 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

He, Wenjie, et al.. (2025). Association between perivascular spaces, DTI-derived Indices, and choroid plexus with ventriculomegaly and white matter hyperintensity in idiopathic normal pressure hydrocephalus. Neurosurgical Review. 48(1). 701–701.

Zhang, Shengnan, Jun Xia, Yun Chen, et al.. (2025). Neurotoxic effects of 4-hydroxy-4′-isopropoxydiphenylsulfone exposure on zebrafish embryos. Environmental Pollution. 385. 127081–127081.

Weng, Wei, et al.. (2025). Acid leaching of copper from copper slag based on machine learning analysis. Separation and Purification Technology. 379. 135025–135025.

Xia, Jun, et al.. (2025). Efficient recovery of copper from copper smelting slag by high-efficient reductant dilution and flotation. Separation and Purification Technology. 382. 135851–135851.

Ding, Ding, Di Jin, Xiang Zhou, et al.. (2025). Aptamer-based Positron Emission Tomography Imaging Allows Specific Detection of Residual Bladder Cancer: A First-in-Human Study. European Urology. 89(1). 93–95. 1 indexed citations

Liu, Haoyu, et al.. (2024). Breaking the Fe3O4-wrapped copper microstructure to enhance copper–slag separation. International Journal of Minerals Metallurgy and Materials. 31(10). 2312–2325. 12 indexed citations

Wu, Qian, Wenjie He, Xiaolin Yang, et al.. (2024). Diffusion spectrum imaging in patients with idiopathic normal pressure hydrocephalus: correlation with ventricular enlargement. BMC Neurology. 24(1). 246–246.

Xia, Jun, et al.. (2024). Density Tuning in Conjunction with Pelletizing of Reductants for Enhanced Recovery from Copper Smelting Slag. JOM. 76(9). 4837–4848. 4 indexed citations

Zhang, Shengnan, Yumeng Wang, Jun Xia, et al.. (2024). Early-Life Exposure to 4-Hydroxy-4′-Isopropoxydiphenylsulfone Induces Behavioral Deficits Associated with Autism Spectrum Disorders in Mice. Environmental Science & Technology. 58(36). 15984–15996. 11 indexed citations

10.

Jin, Di, Lei Qian, Jun Xia, et al.. (2023). In vivo detection of circulating tumor cells predicts high-risk features in patients with bladder cancer. Medical Oncology. 40(4). 113–113. 2 indexed citations

11.

Fang, Yingying, et al.. (2022). Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(1). 26–35. 15 indexed citations

12.

Fang, Zhenghan, Junjie Bai, Xinyu Guo, et al.. (2022). Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning. IEEE Transactions on Artificial Intelligence. 4(2). 255–267. 14 indexed citations

13.

Xia, Jun, Dai Li, Guanyu Yu, et al.. (2022). Effects of Hypovitaminosis D on Preoperative Pain Threshold and Perioperative Opioid Use in Colorectal Cancer Surgery: A Cohort Study.. PubMed. 25(7). E1009–E1019. 5 indexed citations

14.

Ye, Qinghao, Jun Xia, & Guang Yang. (2021). Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study. 521–526. 67 indexed citations

15.

Li, Lin, Lixin Qin, Youbing Yin, et al.. (2020). Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy. Radiology. 296(2). E65–E71. 1309 indexed citations breakdown →

16.

Luo, Xiaoxiao, Yanping Li, Ping Yang, et al.. (2020). Obesity induces preadipocyte CD36 expression promoting inflammation via the disruption of lysosomal calcium homeostasis and lysosome function. EBioMedicine. 56. 102797–102797. 34 indexed citations

17.

Liu, Shuting, Shoujun Zhou, Jian Yang, et al.. (2019). Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels. Neurocomputing. 380. 162–179. 30 indexed citations

18.

Xia, Jun & Wei Xu. (2016). Research progress of lenalidomide in the treatment of lymphoma: reports from the 57th American Society of Hematology annual meeting. 25(3). 153–156. 1 indexed citations

19.

Yi, Lei, et al.. (2011). Diagnostic value of MRI in patients with nonalcoholic Wernicke's encephalopathy: a report of 5 cases. Chinese Journal of Neuromedicine. 10(2). 175–178. 1 indexed citations

20.

Hu, Daoyu, et al.. (2005). Computed Tomographic Qualitative Diagnosis of Renal Masses. The Chinese-German Journal of Clinical Oncology. 4(6). 369–372.

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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