Nan Hong

3.2k total citations
126 papers, 2.4k citations indexed

About

Nan Hong is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Nan Hong has authored 126 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pulmonary and Respiratory Medicine and 26 papers in Biomedical Engineering. Recurrent topics in Nan Hong's work include Radiomics and Machine Learning in Medical Imaging (43 papers), Advanced X-ray and CT Imaging (19 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Nan Hong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (43 papers), Advanced X-ray and CT Imaging (19 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Nan Hong collaborates with scholars based in China, United States and Canada. Nan Hong's co-authors include Xin Yu, Fei Wang, Xiangke Du, Xilin Wang, Hongyan Zhang, Yunyao Lai, Ye Shen, Dai Zhang, Sihui Zhan and Hongbing Yu and has published in prestigious journals such as PLoS ONE, American Journal of Psychiatry and Bioresource Technology.

In The Last Decade

Nan Hong

117 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nan Hong China	26	1.2k	559	299	289	249	126	2.4k
Dustin Osborne United States	22	593 0.5×	85 0.2×	145 0.5×	382 1.3×	242 1.0×	104	1.8k
Sang Joon Kim South Korea	42	2.0k 1.6×	155 0.3×	236 0.8×	1.4k 4.9×	237 1.0×	288	6.1k
Cheng‐Hong Toh Taiwan	27	691 0.6×	209 0.4×	53 0.2×	208 0.7×	61 0.2×	91	2.4k
K. Masuda Japan	35	1.0k 0.8×	109 0.2×	528 1.8×	951 3.3×	140 0.6×	174	4.2k
Corey C. Ford United States	24	460 0.4×	125 0.2×	105 0.4×	212 0.7×	249 1.0×	47	4.7k
C. Andrew van Hasselt Hong Kong	40	338 0.3×	442 0.8×	133 0.4×	933 3.2×	27 0.1×	253	5.0k
Berthe L.F. van Eck‐Smit Netherlands	34	1.5k 1.2×	140 0.3×	232 0.8×	465 1.6×	61 0.2×	125	4.1k
Edwaldo E. Camargo Brazil	27	420 0.3×	305 0.5×	67 0.2×	460 1.6×	238 1.0×	112	2.4k
Chen Chen China	28	242 0.2×	162 0.3×	98 0.3×	701 2.4×	70 0.3×	135	2.6k
Paul R. Algra Netherlands	20	851 0.7×	60 0.1×	173 0.6×	184 0.6×	191 0.8×	54	2.4k

Countries citing papers authored by Nan Hong

Since Specialization

Citations

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

Fields of papers citing papers by Nan Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Hong

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

All Works

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20 of 20 papers shown

Liu, Yulu, Lianzhou Wang, Peng Yuan, et al.. (2025). AI-driven diffusion weighted imaging-based non-contrast protocol for breast cancer diagnosis: a multicentre, multidimensional validation study. EClinicalMedicine. 90. 103694–103694.

Zhang, Qian, Zhongbo Hu, Nan Hong, & Qinghua Su. (2024). A fixed point evolution algorithm based on expanded Aitken rapid iteration method for global numeric optimization. Mathematics and Computers in Simulation. 229. 288–303. 1 indexed citations

Gao, Bo, Yinli Zhang, Yi Wang, et al.. (2024). Identification of cancer-associated fibrolast subtypes and distinctive role of MFAP5 in CT-detected extramural venous invasion in gastric cancer. Translational Oncology. 51. 102188–102188. 5 indexed citations

Zhang, Liyue, Xin Yu, Nan Hong, et al.. (2024). CircRNA expression profiles and regulatory networks in the vitreous humor of people with high myopia. Experimental Eye Research. 241. 109827–109827. 3 indexed citations

Zhu, Yongchao, et al.. (2024). Transcriptome and methylome analyses unveil the effects of low and high temperatures on the postharvest senescence of plum fruit. Scientia Horticulturae. 332. 113247–113247. 4 indexed citations

Zhang, Hui, Jiazheng Li, Yinli Zhang, et al.. (2024). CT assessed morphological features can predict higher mitotic index in gastric gastrointestinal stromal tumors. European Radiology. 35(4). 2094–2105.

Shi, Lu, Ping Yin, Cancan Chen, et al.. (2024). Machine learning-based model for predicting outcomes in cerebral hemorrhage patients with leukemia. European Journal of Radiology. 177. 111543–111543.

Zhang, Yu, Zijun Song, Zhanhao Mo, et al.. (2024). Enhancing Radiologists’ Performance in Detecting Cerebral Aneurysms Using a Deep Learning Model: A Multicenter Study. Academic Radiology. 32(3). 1611–1620. 2 indexed citations

Zhao, Jiaqi, et al.. (2024). Quantification of intratumoral heterogeneity using habitat-based MRI radiomics to identify HER2-positive, -low and -zero breast cancers: a multicenter study. Breast Cancer Research. 26(1). 160–160. 11 indexed citations

10.

Cheng, Jingyi, Xiuying Zhang, Lingli Zhou, et al.. (2023). Evaluation of activity of Graves’ orbitopathy with multiparameter orbital magnetic resonance imaging (MRI). Quantitative Imaging in Medicine and Surgery. 13(5). 3040–3049. 6 indexed citations

11.

Yuan, Peng, Xun Yao, Jingjing Cui, et al.. (2023). A Machine Learning‐Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2‐Weighted and Diffusion‐Weighted MRI. Journal of Magnetic Resonance Imaging. 60(2). 600–612. 7 indexed citations

12.

Zhu, Xinlin, Cong Yang, Qing Hou, et al.. (2022). Genotypic diversity and antifungal susceptibility of Scedosporium species from clinical settings in China. Mycoses. 65(12). 1159–1169. 7 indexed citations

13.

Wei, Shengcai, Yiqun Liu, Yinli Zhang, et al.. (2022). Detecting and monitoring tumors in orthotopic colorectal liver metastatic animal models with high-resolution ultrasound. Clinical & Experimental Metastasis. 39(5). 771–781. 2 indexed citations

14.

Li, Yang, Ping Yin, Yang Liu, et al.. (2022). Radiomics Models Based on Magnetic Resonance Imaging for Prediction of the Response to Bortezomib‐Based Therapy in Patients with Multiple Myeloma. BioMed Research International. 2022(1). 6911246–6911246. 4 indexed citations

15.

Zhang, Yinli, et al.. (2021). Development and evaluation of a ceMDCT-based preoperative risk stratification model to predict disease-free survival after radical surgery in patients with gastric cancer. Abdominal Radiology. 46(9). 4079–4089. 9 indexed citations

16.

Dai, Yi, Ping Yin, Ning Mao, et al.. (2020). Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2‐Weighted Images and Contrast‐Enhanced T1‐Weighted Images. BioMed Research International. 2020(1). 9078603–9078603. 27 indexed citations

17.

Hong, Nan, Nan Xu, Abdullah M. S. Al‐Hatmi, et al.. (2018). Genotypic diversity and antifungal susceptibility of Cryptococcus neoformans isolates from paediatric patients in China. Mycoses. 62(2). 171–180. 11 indexed citations

18.

Li, Yingfang, Wenjie Fang, Weiwei Jiang, et al.. (2017). Cryptococcosis in patients with diabetes mellitus II in mainland China: 1993‐2015. Mycoses. 60(11). 706–713. 29 indexed citations

19.

Liao, Yong, Jia Liu, Wenjie Fang, et al.. (2016). Comparison of Sexual Knowledge, Attitude, and Behavior between Female Chinese College Students from Urban Areas and Rural Areas: A Hidden Challenge for HIV/AIDS Control in China. BioMed Research International. 2016. 1–10. 48 indexed citations

20.

Yang, Qiong, et al.. (2007). White matter microstructural abnormalities in late-life depression. International Psychogeriatrics. 19(4). 757–766. 82 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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