Xiao-Ting Li

2.7k total citations · 1 hit paper
114 papers, 1.7k citations indexed

About

Xiao-Ting Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Xiao-Ting Li has authored 114 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Oncology and 36 papers in Surgery. Recurrent topics in Xiao-Ting Li's work include Radiomics and Machine Learning in Medical Imaging (47 papers), MRI in cancer diagnosis (24 papers) and Gastric Cancer Management and Outcomes (22 papers). Xiao-Ting Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (47 papers), MRI in cancer diagnosis (24 papers) and Gastric Cancer Management and Outcomes (22 papers). Xiao-Ting Li collaborates with scholars based in China, Ethiopia and United States. Xiao-Ting Li's co-authors include Ying‐Shi Sun, Yan‐Jie Shi, Haitao Zhu, Xiaoyan Zhang, Lin Wang, Zhenchao Tang, Jie Tian, Zhenyu Liu, Shuo Wang and Xiaoyan Zhang and has published in prestigious journals such as Scientific Reports, Radiology and Clinical Cancer Research.

In The Last Decade

Xiao-Ting Li

106 papers receiving 1.7k citations

Hit Papers

Radiomics Analysis for Evaluation of Pathological Complet... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao-Ting Li China 19 1.0k 778 432 326 207 114 1.7k
Dan Ionuț Gheonea Romania 19 314 0.3× 727 0.9× 356 0.8× 600 1.8× 106 0.5× 113 1.4k
Song Liu China 22 650 0.6× 263 0.3× 564 1.3× 480 1.5× 350 1.7× 100 1.6k
Silvia Pradella Italy 22 427 0.4× 194 0.2× 224 0.5× 270 0.8× 139 0.7× 80 1.3k
Amir A. Borhani United States 19 400 0.4× 378 0.5× 326 0.8× 521 1.6× 158 0.8× 111 1.4k
Changsheng Zhou China 21 504 0.5× 154 0.2× 439 1.0× 131 0.4× 248 1.2× 83 1.3k
Mario Petrillo Italy 21 334 0.3× 264 0.3× 386 0.9× 330 1.0× 109 0.5× 55 1.2k
Yaqi Shen China 19 573 0.6× 210 0.3× 166 0.4× 246 0.8× 148 0.7× 90 1.2k
Jinyu Liang China 23 490 0.5× 185 0.2× 409 0.9× 495 1.5× 270 1.3× 68 1.6k
Hiroshi Kawahira Japan 21 154 0.2× 447 0.6× 492 1.1× 582 1.8× 118 0.6× 76 1.4k

Countries citing papers authored by Xiao-Ting Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Ting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Ting Li. 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 Xiao-Ting Li. The network helps show where Xiao-Ting Li may publish in the future.

Co-authorship network of co-authors of Xiao-Ting Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Ting Li. A scholar is included among the top collaborators of Xiao-Ting Li 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 Xiao-Ting Li. Xiao-Ting Li 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.
Li, Qingyang, et al.. (2025). A method of matching nodes between MRI and pathology with MRI-based 3D node map in rectal cancer. Abdominal Radiology. 50(9). 4004–4014.
2.
Ma, Luyuan, Lixiang Ma, Xiao-Ting Li, et al.. (2025). Case Report: TAFRO syndrome misdiagnosed as liver cirrhosis due to persistent abdominal distension. Frontiers in Immunology. 16. 1554198–1554198.
3.
Xia, Shudong, Bo Zhao, Yingming Li, et al.. (2025). Cer-ConvN3Unet: an end-to-end multi-parametric MRI-based pipeline for automated detection and segmentation of cervical cancer. European Radiology Experimental. 9(1). 20–20.
4.
Shi, Yan‐Jie, Xin Yang, Zhen Guan, et al.. (2024). Early Contrast-Enhanced MR for Diagnosing Complete Tumor Response of Locally Advanced Esophageal Squamous Cell Carcinoma After Neoadjuvant Therapy: A Retrospective Comparative Study. Annals of Surgical Oncology. 31(7). 4271–4280. 2 indexed citations
6.
Wang, Wei, Xiao-Ting Li, Yunong Gao, Hong Zheng, & Min Gao. (2023). A nomogram prediction model for the TP53mut subtype in endometrial cancer based on preoperative noninvasive parameters. BMC Cancer. 23(1). 720–720. 2 indexed citations
7.
Liu, Yuliang, et al.. (2023). Procedure-related pain during CT-guided percutaneous transthoracic needle biopsies of lung lesions: a prospective study. Cancer Imaging. 23(1). 61–61. 1 indexed citations
8.
9.
Li, Jiazheng, Hui Zhu, Chunhui Shou, et al.. (2023). CT features combined with RECIST 1.1 criteria improve progression assessments of sunitinib-treated gastrointestinal stromal tumors. European Radiology. 34(6). 3659–3670. 1 indexed citations
10.
Li, Xiao-Ting, Jiejun Zhang, Zhenhua Xing, et al.. (2023). Intensive blood pressure control for patients aged over 60: A meta-analysis of the SPRINT, STEP, and ACCORD BP randomized controlled trials. Maturitas. 172. 52–59. 3 indexed citations
11.
Li, Yanling, et al.. (2021). Role of CT in the prediction of pathological complete response in gastric cancer after neoadjuvant chemotherapy. Abdominal Radiology. 46(7). 3011–3018. 17 indexed citations
12.
Cao, Kun, Min Cao, Xiao-Ting Li, et al.. (2020). Improving the Diagnostic Accuracy of Breast BI-RADS 4 Microcalcification-Only Lesions Using Contrast-Enhanced Mammography. Clinical Breast Cancer. 21(3). 256–262.e2. 18 indexed citations
13.
Wang, Zhilong, Yanling Li, Lei Tang, et al.. (2020). Utility of the gastric window in computed tomography for differentiation of early gastric cancer (T1 stage) from muscularis involvement (T2 stage). Abdominal Radiology. 46(4). 1478–1486. 9 indexed citations
14.
Li, Xiao-Ting, et al.. (2020). Desmoid-type fibromatosis: Tumour response assessment using magnetic resonance imaging signal and size criteria. Clinical Imaging. 68. 111–120. 6 indexed citations
15.
Zhu, Haitao, Xiaoyan Zhang, Yan‐Jie Shi, Xiao-Ting Li, & Ying‐Shi Sun. (2020). A Deep Learning Model to Predict the Response to Neoadjuvant Chemoradiotherapy by the Pretreatment Apparent Diffusion Coefficient Images of Locally Advanced Rectal Cancer. Frontiers in Oncology. 10. 574337–574337. 17 indexed citations
17.
Liu, Zhenyu, Xiaoyan Zhang, Yan‐Jie Shi, et al.. (2017). Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Clinical Cancer Research. 23(23). 7253–7262. 425 indexed citations breakdown →
18.
Li, Yanling, Xiao‐Peng Zhang, Jie Li, et al.. (2014). MRI in diagnosis of pathological complete response in breast cancer patients after neoadjuvant chemotherapy. European Journal of Radiology. 84(2). 242–249. 7 indexed citations
19.
Li, Xiao-Ting, Lei Tang, Ying Chen, et al.. (2014). Visceral and subcutaneous fat as new independent predictive factors of survival in locally advanced gastric carcinoma patients treated with neo-adjuvant chemotherapy. Journal of Cancer Research and Clinical Oncology. 141(7). 1237–1247. 34 indexed citations
20.
Li, Xiao-Ting. (2009). Influences of gender and age on correlation of BMI and BF% in adult. Chinese Journal of Public Health. 2 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

Rankless by CCL
2026