Kunfeng Liu

437 total citations
17 papers, 298 citations indexed

About

Kunfeng Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Kunfeng Liu has authored 17 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Kunfeng Liu's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Polysaccharides Composition and Applications (3 papers). Kunfeng Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Polysaccharides Composition and Applications (3 papers). Kunfeng Liu collaborates with scholars based in China and United States. Kunfeng Liu's co-authors include Kunwei Li, Xueguo Liu, Yehang Chen, Bao Feng, Wansheng Long, Xiangmeng Chen, Nan Yao, Yinghua Zhong, Zhuangsheng Liu and Zhengyu Jin and has published in prestigious journals such as Food Chemistry, Food Hydrocolloids and International Journal of Biological Macromolecules.

In The Last Decade

Kunfeng Liu

16 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunfeng Liu China	10	190	152	62	29	24	17	298
Yuli Zhu China	10	86 0.5×	47 0.3×	27 0.4×	26 0.9×	27 1.1×	38	339
Guorui Zhang China	12	76 0.4×	64 0.4×	33 0.5×	12 0.4×	52 2.2×	28	380
Luhan Zhang China	8	164 0.9×	54 0.4×	88 1.4×	16 0.6×	19 0.8×	15	309
Rundong Wang China	8	109 0.6×	246 1.6×	21 0.3×	46 1.6×	73 3.0×	10	519
Mengqi Wei China	11	149 0.8×	54 0.4×	76 1.2×	17 0.6×	8 0.3×	27	316
Yichuan Ma China	10	76 0.4×	21 0.1×	107 1.7×	34 1.2×	39 1.6×	16	304
Sicong Li United States	11	101 0.5×	108 0.7×	46 0.7×	3 0.1×	84 3.5×	35	328
Shawn Tsai Taiwan	9	167 0.9×	61 0.4×	19 0.3×	4 0.1×	58 2.4×	20	353
Tanmoy Bhattacharjee Brazil	11	42 0.2×	43 0.3×	74 1.2×	11 0.4×	102 4.3×	38	366
Andreea-Iuliana Ionescu Romania	10	35 0.2×	54 0.4×	22 0.4×	13 0.4×	15 0.6×	26	231

Countries citing papers authored by Kunfeng Liu

Since Specialization

Citations

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

Fields of papers citing papers by Kunfeng Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunfeng Liu

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

All Works

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17 of 17 papers shown

Liu, Kunfeng, et al.. (2025). Development and characterization of edible bigels based on starch hydrogels and monoglyceride oleogels for dysphagia food. Food Chemistry. 485. 144506–144506. 8 indexed citations

Yi, Bin, Jun Zeng, Jiashuo Li, et al.. (2025). Idebenone: Clinical Potential Beyond Neurological Diseases. Drug Design Development and Therapy. Volume 19. 7929–7946.

Liu, Kunfeng, et al.. (2024). Fabrication and characterization of starch-based bigels under phase control: Structural, physicochemical and 3D printing properties. Food Hydrocolloids. 159. 110623–110623. 20 indexed citations

Liu, Wenmeng, Kunfeng Liu, Han Hu, et al.. (2024). Modification of pea starch using ternary mixtures of natural crosslinking agents: Vanillin-chitosan-betaine and vanillin-gelatin-betaine. International Journal of Biological Macromolecules. 276(Pt 2). 133949–133949. 6 indexed citations

Liu, Kunfeng, Xiaofeng Lin, Xiaojuan Chen, et al.. (2024). Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study. Translational Oncology. 42. 101894–101894. 4 indexed citations

Feng, Bao, Xiangmeng Chen, Yehang Chen, et al.. (2023). Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning. Cancers. 15(3). 892–892. 8 indexed citations

Lin, Xiaofeng, Kunfeng Liu, Xiaojuan Chen, et al.. (2023). A CT-based deep learning model: visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma. iScience. 27(1). 108712–108712. 2 indexed citations

Liu, Kunfeng, et al.. (2023). Polyethylenimine-functionalized nitrogen and sulfur co-doped carbon dots as effective fluorescent probes for detection of Hg2+ ions. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 292. 122395–122395. 23 indexed citations

Fan, Yaohua, Yanqun Fan, Kunfeng Liu, et al.. (2021). Edible Bird’s Nest Ameliorates Dextran Sulfate Sodium-Induced Ulcerative Colitis in C57BL/6J Mice by Restoring the Th17/Treg Cell Balance. Frontiers in Pharmacology. 12. 632602–632602. 20 indexed citations

10.

Liu, Kunfeng, Yinghua Zhong, Mingzhu Liang, et al.. (2021). Assessing the predictive accuracy of lung cancer, metastases, and benign lesions using an artificial intelligence-driven computer aided diagnosis system. Quantitative Imaging in Medicine and Surgery. 11(8). 3629–3642. 22 indexed citations

11.

Chen, Xiangmeng, Bao Feng, Yehang Chen, et al.. (2021). A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma. European Journal of Radiology. 145. 110041–110041. 4 indexed citations

12.

Liu, Kunfeng, Kunwei Li, Tingfan Wu, et al.. (2021). Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT. European Radiology. 32(2). 1065–1077. 27 indexed citations

13.

Li, Kunwei, Xueguo Liu, Rowena Yip, et al.. (2021). Early prediction of severity in coronavirus disease (COVID-19) using quantitative CT imaging. Clinical Imaging. 78. 223–229. 12 indexed citations

14.

Feng, Bao, Xiangmeng Chen, Yehang Chen, et al.. (2020). Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule. European Journal of Radiology. 128. 109022–109022. 48 indexed citations

15.

Chen, Xiangmeng, Bao Feng, Yehang Chen, et al.. (2020). A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules. Cancer Imaging. 20(1). 45–45. 35 indexed citations

16.

Feng, Bao, Yehang Chen, Kunfeng Liu, et al.. (2020). Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas. European Radiology. 30(12). 6497–6507. 50 indexed citations

17.

Liu, Yang, et al.. (2016). Physicochemical Properties and Lipophilicity of Polydatin-Lecithin Complex. Tropical Journal of Pharmaceutical Research. 14(12). 2217–2217. 9 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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