Junjie Bai

3.1k total citations · 1 hit paper
37 papers, 2.0k citations indexed

About

Junjie Bai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Junjie Bai has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Junjie Bai's work include Renal cell carcinoma treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Renal and related cancers (5 papers). Junjie Bai is often cited by papers focused on Renal cell carcinoma treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Renal and related cancers (5 papers). Junjie Bai collaborates with scholars based in China and United States. Junjie Bai's co-authors include Youbing Yin, Kunlin Cao, Xin Wang, Jun Xia, Bin Kong, Qi Song, Yi Lu, Zhenghan Fang, Lixin Qin and Shiqin Zhang and has published in prestigious journals such as Nature Cell Biology, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Junjie Bai

35 papers receiving 2.0k citations

Hit Papers

Using Artificial Intelligence to Detect COVID-19 and Comm... 2020 2026 2022 2024 2020 400 800 1.2k
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.

  1. 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 →

Peers

Junjie Bai
Yunfei Zha China
Shiqin Zhang China
Narges Razavian United States
Qi Song China
Muhammad Khalid Khan Niazi United States
Jia Wu United States
Lucian Beer Austria
Bo-Kyeong Kang South Korea
Evrim Türkbey United States
Yunfei Zha China
Junjie Bai
Citations per year, relative to Junjie Bai Junjie Bai (= 1×) peers Yunfei Zha

Countries citing papers authored by Junjie Bai

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Bai. A scholar is included among the top collaborators of Junjie Bai 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 Junjie Bai. Junjie Bai 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.
Bai, Junjie, Jianjia Huang, Jun Lin, et al.. (2025). Clinicopathologic and prognosis of 30 patients with FH-deficient renal cell carcinoma: a single-center retrospective study. BMC Cancer. 25(1). 1152–1152. 1 indexed citations
2.
3.
Lin, Weihao, Junjie Bai, Yihua He, et al.. (2025). Fiber-optic liquid level sensor based on a peanut-shaped Mach–Zehnder interferometer and random forest network. Measurement Science and Technology. 36(4). 45110–45110.
4.
5.
Li, Mengmeng, Na Hao, Yulin Jiang, et al.. (2024). Contribution of uniparental disomy to fetal growth restriction: a whole-exome sequencing series in a prenatal setting. Scientific Reports. 14(1). 238–238. 1 indexed citations
6.
Bai, Junjie, et al.. (2024). Intrarenal pressure detection during flexible ureteroscopy with fiber optic pressure sensor system in porcine model. Scientific Reports. 14(1). 9446–9446. 8 indexed citations
7.
Bai, Junjie, Peng Tan, C. W. Liu, et al.. (2023). Zyxin promotes hepatocellular carcinoma progression via the activation of AKT/mTOR signaling pathway. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 31(5). 805–817. 3 indexed citations
8.
Hao, Na, Mengmeng Li, Hanzhe Zhang, et al.. (2023). Analysis of complex chromosomal rearrangement involving chromosome 6 via the integration of optical genomic mapping and molecular cytogenetic methodologies. Journal of Human Genetics. 69(1). 3–11. 4 indexed citations
9.
Xiang, Xin, Yifan Chen, Junjie Bai, et al.. (2022). Transcriptomic Analysis Reveals Lactobacillus reuteri Alleviating Alcohol-Induced Liver Injury in Mice by Enhancing the Farnesoid X Receptor Signaling Pathway. Journal of Agricultural and Food Chemistry. 70(39). 12550–12564. 18 indexed citations
10.
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
11.
12.
Chen, Yifan, et al.. (2022). N-Acetyl-l-tryptophan inhibits CCl4-induced hepatic fibrogenesis via regulating TGF-β1/SMAD and Hippo/YAP1 signal. Bioorganic Chemistry. 126. 105899–105899. 5 indexed citations
13.
Bai, Junjie, Yichao Du, Peng Tan, et al.. (2022). Thiamine pretreatment improves endotoxemia-related liver injury and cholestatic complications by regulating galactose metabolism and inhibiting macrophage activation. International Immunopharmacology. 108. 108892–108892. 14 indexed citations
14.
Mu, Dan, Junjie Bai, Hongming Yu, et al.. (2021). Calcium Scoring at Coronary CT Angiography Using Deep Learning. Radiology. 302(2). 309–316. 48 indexed citations
15.
Zuo, Teng, Linfeng He, Tao Chen, et al.. (2021). Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning. Frontiers in Oncology. 11. 746750–746750. 9 indexed citations
16.
Chen, Jianhui, Wen Ye, Wei Jiang, et al.. (2021). Pazopanib in patients with metastatic renal cell carcinoma: a single-center, real-world, retrospective Chinese study. Translational Andrology and Urology. 10(3). 1321–1331. 1 indexed citations
17.
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 →
18.
Liu, Jiang, Di Guan, Jingjing Yang, et al.. (2020). UFMylation maintains tumour suppressor p53 stability by antagonizing its ubiquitination. Nature Cell Biology. 22(9). 1056–1063. 139 indexed citations
19.
Kong, Bin, Xin Wang, Junjie Bai, et al.. (2019). Learning tree-structured representation for 3D coronary artery segmentation. Computerized Medical Imaging and Graphics. 80. 101688–101688. 59 indexed citations
20.
Ye, Hai, Youbing Yin, Danfeng Guo, et al.. (2019). Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network. European Radiology. 29(11). 6191–6201. 170 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

Breakdown of academic impact, for papers by Yunfei Zha Breakdown of academic impact, for papers by Shiqin Zhang Breakdown of academic impact, for papers by Narges Razavian Breakdown of academic impact, for papers by Qi Song Breakdown of academic impact, for papers by Muhammad Khalid Khan Niazi Breakdown of academic impact, for papers by Jia Wu Breakdown of academic impact, for papers by Lucian Beer Breakdown of academic impact, for papers by Bo-Kyeong Kang Breakdown of academic impact, for papers by Evrim Türkbey
Rankless by CCL
2026