Hua Ye

704 total citations
24 papers, 550 citations indexed

About

Hua Ye is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Hua Ye has authored 24 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Hua Ye's work include COVID-19 diagnosis using AI (6 papers), COVID-19 Clinical Research Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Hua Ye is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), COVID-19 Clinical Research Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Hua Ye collaborates with scholars based in China, Iran and Australia. Hua Ye's co-authors include Guang Deng, Huiling Chen, Peiliang Wu, Ali Asghar Heidari, Xianmin Wang, Wenxiang Xia, Xiaoying Huang, Yanfan Chen, Liangxing Wang and Zhongyi Hu and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, IEEE Access and Information Sciences.

In The Last Decade

Hua Ye

24 papers receiving 532 citations

Peers

Hua Ye

MMPL

RNMI

CVPR

Alireza Mehri Dehnavi Iran

Tianyu Liu China

Pradeep Kumar Singh India

Ling Huang China

Marina Skurichina Netherlands

Taye Girma Debelee Ethiopia

Abdul Majid Pakistan

Rahul Nijhawan India

Alireza Mehri Dehnavi Iran

Hua Ye

71 ×0.5

147 ×1.5

MMPL

182 ×1.9

RNMI

35 ×0.5

159 ×2.2

CVPR

Citations per year, relative to Hua Ye Hua Ye (= 1×) peers Alireza Mehri Dehnavi

Countries citing papers authored by Hua Ye

Since Specialization

Citations

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

Fields of papers citing papers by Hua Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Ye. A scholar is included among the top collaborators of Hua Ye 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 Hua Ye. Hua Ye 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

Zhang, Pengfei, et al.. (2025). Information fusion and feature selection for multi-source data utilizing Dempster-Shafer evidence theory and K-nearest neighbors. Information Sciences. 718. 122408–122408. 2 indexed citations

Guo, Lei, et al.. (2024). Communication between alveolar macrophages and fibroblasts via the TNFSF12-TNFRSF12A pathway promotes pulmonary fibrosis in severe COVID-19 patients. Journal of Translational Medicine. 22(1). 698–698. 7 indexed citations

Ye, Hua, et al.. (2024). Pneumocystis carinii infection drives upregulation of Fn1 expression that causes pulmonary fibrosis with an inflammatory response. Revista Iberoamericana de Micología. 41(1). 17–26. 1 indexed citations

Ye, Hua, et al.. (2023). The effectiveness of the modified Epley maneuver for the treatment of posterior semicircular canal benign paroxysmal positional vertigo. Frontiers in Neurology. 14. 1328896–1328896. 3 indexed citations

Cai, Haijian, Wenjing Zhu, Haiyang Zhao, et al.. (2022). Telocinobufagin Has Antitumor Effects in Non-Small-Cell Lung Cancer by Inhibiting STAT3 Signaling. Journal of Natural Products. 85(4). 765–775. 17 indexed citations

Ye, Hua, Peiliang Wu, Zhongxiang Xiao, et al.. (2021). Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods. IEEE Access. 9. 17787–17802. 49 indexed citations

Ye, Hua, Ali Asghar Heidari, Zhongyi Hu, et al.. (2021). Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization. Journal of King Saud University - Computer and Information Sciences. 34(8). 4874–4887. 13 indexed citations

Ye, Hua, Juncheng Lyu, Cheng Chen, et al.. (2021). Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine. Computers in Biology and Medicine. 136. 104698–104698. 56 indexed citations

Hu, Jiao, Ali Asghar Heidari, Hua Ye, et al.. (2021). Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine. Computers in Biology and Medicine. 142. 105166–105166. 84 indexed citations

10.

Wu, Peiliang, Hua Ye, Xueding Cai, et al.. (2021). An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study. IEEE Access. 9. 45486–45503. 18 indexed citations

11.

Ye, Hua, Chengguang Zhao, Lehe Yang, et al.. (2020). Twelve out of 117 recovered COVID-19 patients retest positive in a single-center study of China. EClinicalMedicine. 26. 100492–100492. 7 indexed citations

12.

Ye, Hua, et al.. (2020). Current Perceptions and Improvement Approaches of Pharmaceutical Care Capacity of Community Pharmacists: A Quantitative Analysis Based on Survey Data at Chinese Chain Pharmacies. International Journal of Environmental Research and Public Health. 17(20). 7482–7482. 9 indexed citations

13.

Shi, Ce, Yihong Chen, William Robert Kwapong, et al.. (2019). CHARACTERIZATION BY FRACTAL DIMENSION ANALYSIS OF THE RETINAL CAPILLARY NETWORK IN PARKINSON DISEASE. Retina. 40(8). 1483–1491. 48 indexed citations

14.

Ye, Hua, et al.. (2014). Serum S100B levels may be associated with cerebral infarction: a meta-analysis. Journal of the Neurological Sciences. 348(1-2). 81–88. 35 indexed citations

15.

Ye, Hua, et al.. (2014). [Clinical effect of hemoperfusion combined with hemodialysis in treatment of severe organophosphate pesticide poisoning].. PubMed. 32(12). 928–30. 1 indexed citations

16.

Guo, Lei, Juan Li, Hua Ye, et al.. (2009). [Anti-inflammatory and analgesic potency of carboxyamidotriazole, a tumoristatic agent].. PubMed. 31(3). 315–21. 2 indexed citations

17.

Ye, Caiying, Wen‐Ying Chen, Hua Ye, et al.. (2008). Anti-Inflammatory and Analgesic Potency of Carboxyamidotriazole, a Tumorostatic Agent. Journal of Pharmacology and Experimental Therapeutics. 325(1). 10–16. 28 indexed citations

18.

Deng, Guang & Hua Ye. (2003). A general framework for the second-level adaptive prediction. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 3. III–237. 14 indexed citations

19.

Deng, Guang & Hua Ye. (2003). Lossless image compression using adaptive predictor symbol mapping and context filtering. 4. 63–67. 6 indexed citations

20.

Deng, Guang & Hua Ye. (1999). Lossless Image Compression Using Adaptive Predictor Combination, Symbol Mapping and Context Filtering.. International Conference on Image Processing. 63–67. 27 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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