Tianyi Xia

1.4k total citations · 1 hit paper
49 papers, 729 citations indexed

About

Tianyi Xia is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tianyi Xia has authored 49 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tianyi Xia's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Renal cell carcinoma treatment (4 papers). Tianyi Xia is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Renal cell carcinoma treatment (4 papers). Tianyi Xia collaborates with scholars based in China, United States and Bangladesh. Tianyi Xia's co-authors include Yuancheng Wang, Renxing Zhong, Shenghong Ju, Zunpeng Shu, Tianyu Tang, Zihe Ding, Yanni Yang, Wujing Wang, Yi Wang and Yang Song and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Tianyi Xia

43 papers receiving 719 citations

Hit Papers

Predicting Microvascular Invasion in Hepatocellular Carci... 2023 2026 2024 2025 2023 40 80 120
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. Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model
    2023 121 citations Tianyi Xia, Xiangpan Meng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianyi Xia China 14 294 161 160 134 127 49 729
Shinya Yokoyama Japan 22 243 0.8× 149 0.9× 391 2.4× 103 0.8× 204 1.6× 116 1.5k
Xiuzhong Yao China 14 231 0.8× 209 1.3× 144 0.9× 166 1.2× 415 3.3× 27 956
Naoki Sano Japan 13 283 1.0× 103 0.6× 440 2.8× 59 0.4× 51 0.4× 61 933
Lingyun Wang China 16 184 0.6× 122 0.8× 135 0.8× 38 0.3× 95 0.7× 54 687
Quanyuan Shan China 16 325 1.1× 91 0.6× 279 1.7× 194 1.4× 112 0.9× 32 941
Lorenzo Franceschini Italy 22 109 0.4× 449 2.8× 133 0.8× 46 0.3× 147 1.2× 46 1.5k
Yin Zhang China 16 101 0.3× 209 1.3× 98 0.6× 24 0.2× 180 1.4× 88 958

Countries citing papers authored by Tianyi Xia

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyi Xia. A scholar is included among the top collaborators of Tianyi 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 Tianyi Xia. Tianyi Xia 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.
Zhang, Qi, Tianyi Xia, Yang Song, et al.. (2025). TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 12. 193–203. 2 indexed citations
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Hu, Chuanfei, Tianyi Xia, Yuancheng Wang, et al.. (2024). Trustworthy multi-phase liver tumor segmentation via evidence-based uncertainty. Engineering Applications of Artificial Intelligence. 133. 108289–108289. 30 indexed citations
5.
Xia, Tianyi, Lei Cao, Yunjia Zhang, et al.. (2024). ST-GEARS: Advancing 3D downstream research through accurate spatial information recovery. Nature Communications. 15(1). 7806–7806. 1 indexed citations
6.
Xia, Tianyi, Tianying Zheng, Shan Huang, et al.. (2024). Fully automated hybrid approach on conventional MRI for triaging clinically significant liver fibrosis: A multi‐center cohort study. Journal of Medical Virology. 96(8). e29882–e29882. 2 indexed citations
7.
Xia, Mingyu, et al.. (2024). Causal impacts of 731 immunocyte phenotypes on colorectal cancer-evidence from a bidirectional two-sample Mendelian randomization. Human Vaccines & Immunotherapeutics. 20(1). 2432115–2432115. 2 indexed citations
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Zhou, Shuwei, Guofeng Zhou, Tianyi Xia, et al.. (2024). LI-RADS Nonradiation Treatment Response Algorithm Version 2024: Diagnostic Performance and Impact of Ancillary Features. American Journal of Roentgenology. 224(2). e2432035–e2432035. 7 indexed citations
10.
Meng, Xiangpan, Tianyu Tang, Yongping Zhou, et al.. (2023). Predicting post-resection recurrence by integrating imaging-based surrogates of distinct vascular patterns of hepatocellular carcinoma. JHEP Reports. 5(9). 100806–100806. 12 indexed citations
11.
Liu, Yue, Jin Wang, Hui Gong, et al.. (2023). Prevalence and associated factors of drug-drug interactions in elderly outpatients in a tertiary care hospital: a cross-sectional study based on three databases. Annals of Translational Medicine. 11(1). 17–17. 11 indexed citations
12.
Xia, Tianyi, et al.. (2022). A Novel Quantification System Combining iTRAQ Technology and Multi-Omics Assessment to Predict Prognosis and Immunotherapy Efficacy in Colon Cancer. Frontiers in Bioengineering and Biotechnology. 10. 862619–862619. 3 indexed citations
13.
Feng, Songwei, et al.. (2022). Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer. Frontiers in Immunology. 13. 868067–868067. 29 indexed citations
14.
Liu, Yupeng, Qiuju Zhang, Chao Yuan, et al.. (2022). Early Postoperative Serum Carcinoembryonic Antigen Is a Stronger Independent Prognostic Factor for Stage II Colorectal Cancer Patients Than T4 Stage and Preoperative CEA. Frontiers in Oncology. 11. 758509–758509. 13 indexed citations
15.
Liu, Jinjin, et al.. (2021). Arc concave sign on thin-section computed tomography：A novel predictor for invasive pulmonary adenocarcinoma in pure ground-glass nodules. European Journal of Radiology. 139. 109683–109683. 5 indexed citations
16.
Chen, Qian, et al.. (2021). Radiomics in Stroke Neuroimaging: Techniques, Applications, and Challenges. Aging and Disease. 12(1). 143–143. 59 indexed citations
17.
Chen, Qian, Mingyue Zhang, Jie Chen, et al.. (2020). Radiomics for intracerebral hemorrhage: are all small hematomas benign?. British Journal of Radiology. 94(1119). 20201047–20201047. 15 indexed citations
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Xia, Tianyi, et al.. (2020). Risk Factors for The Growth of Residual Nodule in Surgical Patients with Adenocarcinoma Presenting as Multifocal Ground-glass Nodules. European Journal of Radiology. 133. 109332–109332. 9 indexed citations
20.
Xing, Na, Yi Wang, Wujing Wang, et al.. (2020). Cardioprotective effect exerted by Timosaponin BⅡ through the regulation of endoplasmic stress-induced apoptosis. Phytomedicine. 78. 153288–153288. 18 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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