Xiaofeng Jiang

508 total citations
13 papers, 285 citations indexed

About

Xiaofeng Jiang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaofeng Jiang has authored 13 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaofeng Jiang's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (5 papers) and Colorectal Cancer Surgical Treatments (5 papers). Xiaofeng Jiang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (5 papers) and Colorectal Cancer Surgical Treatments (5 papers). Xiaofeng Jiang collaborates with scholars based in China, Germany and United States. Xiaofeng Jiang's co-authors include Jia Ke, Xiaojian Wu, Peirong Ding, Jinghua Tang, Feng Gao, Ruijiang Li, Cheng Jin, Xin Duan, Daniel T. Chang and Yongju Yi and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Radiology.

In The Last Decade

Xiaofeng Jiang

13 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaofeng Jiang China	7	188	111	63	56	41	13	285
Chih‐Horng Wu Taiwan	11	137 0.7×	73 0.7×	43 0.7×	45 0.8×	53 1.3×	33	376
Oliver Lester Saldanha Germany	6	166 0.9×	92 0.8×	100 1.6×	35 0.6×	17 0.4×	11	227
Vidya Sankar Viswanathan United States	10	179 1.0×	101 0.9×	91 1.4×	93 1.7×	20 0.5×	39	307
Paulette Turk United States	4	245 1.3×	52 0.5×	76 1.2×	47 0.8×	24 0.6×	5	271
Camilla Scapicchio Italy	5	254 1.4×	65 0.6×	68 1.1×	70 1.3×	41 1.0×	9	336
Yiquan Jiang China	8	108 0.6×	89 0.8×	33 0.5×	60 1.1×	64 1.6×	25	305
Manasa Vulchi United States	4	248 1.3×	56 0.5×	74 1.2×	58 1.0×	24 0.6×	5	276
Anurima Patra India	6	158 0.8×	153 1.4×	75 1.2×	39 0.7×	32 0.8×	24	237
Bernadette Redd United States	8	133 0.7×	163 1.5×	50 0.8×	98 1.8×	53 1.3×	24	366
Caixia Sun China	8	229 1.2×	56 0.5×	109 1.7×	59 1.1×	26 0.6×	16	282

Countries citing papers authored by Xiaofeng Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofeng Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Jiang. A scholar is included among the top collaborators of Xiaofeng Jiang 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 Xiaofeng Jiang. Xiaofeng Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Wang, Xiyue, Yuming Jiang, Sen Yang, et al.. (2025). Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers. Journal of Clinical Oncology. 43(32). 3468–3481. 6 indexed citations

Yuan, Tanwei, Vı́ctor Moreno, Elisabeth Georgii, et al.. (2025). Identification and external validation of tumor DNA methylation panel for the recurrence risk stratification of stage II colon cancer. Translational Oncology. 57. 102405–102405. 1 indexed citations

Wiest, Isabella C., et al.. (2025). Large language models for clinical decision support in gastroenterology and hepatology. Nature Reviews Gastroenterology & Hepatology. 22(11). 773–787. 4 indexed citations

Jiang, Xiaofeng, et al.. (2024). J-type random 2,3 satisfiability: a higher-order logical rule in discrete hopfield neural network. Evolutionary Intelligence. 17(5-6). 3317–3336. 1 indexed citations

Jiang, Xiaofeng, Hengyu Zhao, Oliver Lester Saldanha, et al.. (2023). An MRI Deep Learning Model Predicts Outcome in Rectal Cancer. Radiology. 307(5). e222223–e222223. 59 indexed citations

Ke, Jia, Cheng Jin, Jinghua Tang, et al.. (2023). A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study. Diseases of the Colon & Rectum. 66(12). e1195–e1206. 11 indexed citations

Jiang, Xiaofeng, Michael Hoffmeister, Hermann Brenner, et al.. (2023). End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study. The Lancet Digital Health. 6(1). e33–e43. 30 indexed citations

Röcken, Christoph, Hans‐Michael Behrens, Chiara Maria Lavinia Löffler, et al.. (2023). Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study. European Journal of Cancer. 194. 113335–113335. 13 indexed citations

Jiang, Xiaofeng, Jiawei Cai, Wuteng Cao, et al.. (2022). Anatomical variations of the branches from left colic artery and middle colic artery at splenic flexure. Surgical and Radiologic Anatomy. 44(3). 467–473. 2 indexed citations

10.

Jin, Cheng, Heng Yu, Jia Ke, et al.. (2021). Predicting treatment response from longitudinal images using multi-task deep learning. Nature Communications. 12(1). 1851–1851. 130 indexed citations

11.

Ke, Jia, Xiaofeng Jiang, Zhen He, et al.. (2020). Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients. European Journal of Surgical Oncology. 46(10). e62–e70. 8 indexed citations

12.

Ke, Jia, Xuanhui Liu, Xiaofeng Jiang, et al.. (2019). Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients.. Journal of Clinical Oncology. 37(15_suppl). 3586–3586. 1 indexed citations

13.

Hu, Tuo, Jingjing Feng, Liu W, et al.. (2000). Modified sternal elevation for children with pectus excavatum.. PubMed. 113(5). 451–4. 19 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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