Bing Tian

1.7k total citations · 1 hit paper
62 papers, 912 citations indexed

About

Bing Tian is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Epidemiology. According to data from OpenAlex, Bing Tian has authored 62 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 15 papers in Neurology and 10 papers in Epidemiology. Recurrent topics in Bing Tian's work include Cerebrovascular and Carotid Artery Diseases (21 papers), Intracranial Aneurysms: Treatment and Complications (13 papers) and Moyamoya disease diagnosis and treatment (7 papers). Bing Tian is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (21 papers), Intracranial Aneurysms: Treatment and Complications (13 papers) and Moyamoya disease diagnosis and treatment (7 papers). Bing Tian collaborates with scholars based in China, United States and United Kingdom. Bing Tian's co-authors include David Saloner, Chengcheng Zhu, Yang Bai, Qin Han, Xia Li, Jianping Lu, Wenfeng Chen, Yong Chen, Qun Ma and Xiuli Guo and has published in prestigious journals such as PLoS ONE, Scientific Reports and The ISME Journal.

In The Last Decade

Bing Tian

58 papers receiving 894 citations

Hit Papers

Variation in rhizosphere microbial communities and its as... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Tian China 18 312 214 198 124 118 62 912
Artur Klepaczko Poland 10 163 0.5× 17 0.1× 168 0.8× 59 0.5× 474 4.0× 31 1.1k
Zhaohui Hu China 20 142 0.5× 30 0.1× 131 0.7× 186 1.5× 66 0.6× 82 1.2k
Kanae Takahashi Japan 14 84 0.3× 48 0.2× 25 0.1× 84 0.7× 90 0.8× 65 779
Xianzhi Liu China 21 286 0.9× 112 0.5× 20 0.1× 180 1.5× 83 0.7× 62 1.2k
Haiyan Zhao China 22 193 0.6× 9 0.0× 261 1.3× 63 0.5× 134 1.1× 86 1.4k
Jinqiu Li China 16 73 0.2× 30 0.1× 87 0.4× 36 0.3× 50 0.4× 60 676
Qiang Guo China 21 304 1.0× 18 0.1× 451 2.3× 95 0.8× 35 0.3× 118 2.1k
Feng‐Min Zhang China 21 160 0.5× 8 0.0× 208 1.1× 47 0.4× 22 0.2× 61 1.3k
Jun Sun China 17 123 0.4× 71 0.3× 35 0.2× 103 0.8× 52 0.4× 55 853

Countries citing papers authored by Bing Tian

Since Specialization
Citations

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

Fields of papers citing papers by Bing Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Tian. A scholar is included among the top collaborators of Bing Tian 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 Bing Tian. Bing Tian 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.
Schaaf, Irene C. van der, Myriam Edjlali, Olivier Naggara, et al.. (2025). Appearance and Disappearance of Intracranial Aneurysm Wall Enhancement during Follow-Up: A Multicenter Cohort Study. American Journal of Neuroradiology. 46(12). 2479–2484. 1 indexed citations
2.
Tian, Bing, et al.. (2024). Incremental clinical value of intraplaque neovascularization in predicting recurrent ischemic stroke. Annals of Clinical and Translational Neurology. 12(2). 291–299. 1 indexed citations
3.
Liu, Ran, et al.. (2024). Added Clinical Value of Intraplaque Neovascularization Detection to Color Doppler Ultrasound for Assessing Ischemic Stroke Risk. Neuropsychiatric Disease and Treatment. Volume 20. 899–909. 1 indexed citations
5.
Tian, Bing, Yixin Cao, Yong Zhang, & Chunxiao Xing. (2022). Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 11376–11384. 18 indexed citations
6.
Yang, Hua, et al.. (2021). Establishment of a scoring model based on ultrasonic characteristics for predicting the restenosis after superficial femoral artery stenting. Zhonghua chaosheng yingxiangxue zazhi. 42–47. 1 indexed citations
7.
Wang, Yan, Yue Zhang, Zhaoying Wen, et al.. (2021). Deep learning based fully automatic segmentation of the left ventricular endocardium and epicardium from cardiac cine MRI. Quantitative Imaging in Medicine and Surgery. 11(4). 1600–1612. 17 indexed citations
8.
Xia, Tian, Bing Tian, Zhang Shi, et al.. (2020). Assessment of Intracranial Atherosclerotic Plaques Using 3D Black‐Blood MRI: Comparison With 3D Time‐of‐Flight MRA and DSA. Journal of Magnetic Resonance Imaging. 53(2). 469–478. 29 indexed citations
9.
Wang, Yan, Bing Tian, Fei Xiong, et al.. (2020). Computer-aided quantification of non-contrast 3D black blood MRI as an efficient alternative to reference standard manual CT angiography measurements of abdominal aortic aneurysms. European Journal of Radiology. 134. 109396–109396. 2 indexed citations
10.
Tian, Bing, et al.. (2020). Acute pancreatitis in patients with severe fever with thrombocytopenia syndrome virus infection. Pancreatology. 20(8). 1631–1636. 10 indexed citations
12.
Zhu, Chengcheng, Xinrui Wang, Laura Eisenmenger, et al.. (2019). Surveillance of Unruptured Intracranial Saccular Aneurysms Using Noncontrast 3D-Black-Blood MRI: Comparison of 3D-TOF and Contrast-Enhanced MRA with 3D-DSA. American Journal of Neuroradiology. 40(6). 960–966. 19 indexed citations
13.
Zhu, Chengcheng, Joseph Leach, Bing Tian, et al.. (2019). Evaluation of the distribution and progression of intraluminal thrombus in abdominal aortic aneurysms using high‐resolution MRI. Journal of Magnetic Resonance Imaging. 50(3). 994–1001. 12 indexed citations
14.
Tian, Bing, Qi Liu, Xinrui Wang, et al.. (2018). Chronic intracranial artery stenosis: Comparison of whole-brain arterial spin labeling with CT perfusion. Clinical Imaging. 52. 252–259. 10 indexed citations
15.
Lu, Qingsheng, et al.. (2018). Vascular involvements in Behçet's disease: a retrospective clinical study of 41 cases. 22(7). 440–445. 1 indexed citations
16.
Zhu, Chengcheng, Bing Tian, Luguang Chen, et al.. (2017). Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE). Magnetic Resonance Materials in Physics Biology and Medicine. 31(3). 457–467. 34 indexed citations
17.
Jiang, Yuanliang, Wenjia Peng, Bing Tian, et al.. (2017). Identification and Quantitative Assessment of Different Components of Intracranial Atherosclerotic Plaque by Ex Vivo 3T High-Resolution Multicontrast MRI. American Journal of Neuroradiology. 38(9). 1716–1722. 6 indexed citations
18.
Zhu, Chengcheng, Bing Tian, Joseph Leach, et al.. (2016). Non-contrast 3D black blood MRI for abdominal aortic aneurysm surveillance: comparison with CT angiography. European Radiology. 27(5). 1787–1794. 19 indexed citations
19.
Zhu, Chengcheng, Henrik Haraldsson, Bing Tian, et al.. (2016). High resolution imaging of the intracranial vessel wall at 3 and 7 T using 3D fast spin echo MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 29(3). 559–570. 55 indexed citations
20.
Liu, Yang, et al.. (1999). [Intrapulmonary expression of tumor necrosis factor alpha mRNA and its significance in rats with acute pancreatitis].. PubMed. 30(4). 379–83. 3 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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