Jiaming Hong

447 total citations
26 papers, 284 citations indexed

About

Jiaming Hong is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jiaming Hong has authored 26 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ophthalmology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jiaming Hong's work include Retinal Imaging and Analysis (6 papers), Retinal Diseases and Treatments (5 papers) and Neonatal and fetal brain pathology (4 papers). Jiaming Hong is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Retinal Diseases and Treatments (5 papers) and Neonatal and fetal brain pathology (4 papers). Jiaming Hong collaborates with scholars based in China and France. Jiaming Hong's co-authors include Shaopeng Liu, Zhiyong Lin, Ying Zhou, Heye Zhang, Ye Liu, Xu Lu, Zhifeng Hao, Li Li, Guiqing Liu and Liming Lu and has published in prestigious journals such as Aquaculture, Journal of Medical Internet Research and Nanomaterials.

In The Last Decade

Jiaming Hong

24 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaming Hong China 10 91 75 45 42 40 26 284
Gregorius Natanael Elwirehardja Indonesia 7 40 0.4× 12 0.2× 5 0.1× 52 1.2× 36 0.9× 32 268
Martin Augustýnek Czechia 9 50 0.5× 20 0.3× 8 0.2× 14 0.3× 45 1.1× 52 286
Qiyang Chen United States 10 100 1.1× 4 0.1× 9 0.2× 8 0.2× 13 0.3× 31 336
Dong Seop Kim South Korea 7 26 0.3× 16 0.2× 35 0.8× 25 0.6× 143 3.6× 8 330
Noppadol Maneerat Thailand 14 260 2.9× 164 2.2× 1 0.0× 84 2.0× 198 5.0× 41 506
José Carlos Quadrado Portugal 9 104 1.1× 94 1.3× 7 0.2× 51 1.2× 4 0.1× 42 445
Lukas Fischer Austria 11 46 0.5× 16 0.2× 6 0.1× 93 2.2× 43 1.1× 31 299
Shigeru Takano Japan 7 93 1.0× 121 1.6× 2 0.0× 7 0.2× 75 1.9× 46 279
Sandra Jardim Portugal 8 54 0.6× 3 0.0× 48 1.1× 90 2.1× 86 2.1× 17 273

Countries citing papers authored by Jiaming Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Hong. A scholar is included among the top collaborators of Jiaming 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 Jiaming Hong. Jiaming Hong 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.
Zhu, Jun, et al.. (2025). Design and performance investigation on a novel QZS metamaterial featuring concave hexagonal framework and double-cosine beams. The European Physical Journal Special Topics. 234(24). 7525–7540.
2.
Xu, Fabao, Yu Han, Zhongwen Li, et al.. (2025). Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks. Photodiagnosis and Photodynamic Therapy. 52. 104482–104482. 2 indexed citations
3.
4.
Liu, Shaopeng, Fabao Xu, Wenjie Chen, et al.. (2023). Prediction of OCT images of short-term response to anti-VEGF treatment for diabetic macular edema using different generative adversarial networks. Photodiagnosis and Photodynamic Therapy. 41. 103272–103272. 16 indexed citations
5.
Hong, Jiaming, et al.. (2023). Application of Blockchain Sharding Technology in Chinese Medicine Traceability System. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 35–48. 5 indexed citations
6.
Liu, Shaopeng, Xiao Jian Tan, Wangting Li, et al.. (2023). Deep learning system for distinguishing optic neuritis from non-arteritic anterior ischemic optic neuropathy at acute phase based on fundus photographs. Frontiers in Medicine. 10. 1188542–1188542. 9 indexed citations
7.
Huang, Wentao, Long Huang, Junyi Wu, et al.. (2022). miR-24-3p Regulates Epithelial–Mesenchymal Transition and the Malignant Phenotype of Pancreatic Adenocarcinoma by Regulating ASF1B Expression. Biochemical Genetics. 61(2). 742–761. 6 indexed citations
8.
Li, Guoyu, Jiaming Hong, Xiaofei Tan, et al.. (2022). In Situ Coupling Carbon Defective C3N5 Nanosheet with Ag2CO3 for Effective Degradation of Methylene Blue and Tetracycline Hydrochloride. Nanomaterials. 12(15). 2701–2701. 35 indexed citations
9.
Lu, Liming, et al.. (2021). A Traditional Chinese Medicine Traceability System Based on Lightweight Blockchain. Journal of Medical Internet Research. 23(6). e25946–e25946. 26 indexed citations
10.
Xu, Fabao, Shaopeng Liu, Yifan Xiang, et al.. (2021). Deep Learning for Detecting Subretinal Fluid and Discerning Macular Status by Fundus Images in Central Serous Chorioretinopathy. Frontiers in Bioengineering and Biotechnology. 9. 651340–651340. 10 indexed citations
11.
Huang, Li‐Ting, Zhiying Jiang, Ruichu Cai, et al.. (2021). Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. BMC Medical Informatics and Decision Making. 21(1). 355–355. 4 indexed citations
12.
Feng, Junyuan, et al.. (2021). Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2667–2673. 5 indexed citations
13.
Liu, Guiqing, et al.. (2021). Intelligent classification of antepartum cardiotocography model based on deep forest. Biomedical Signal Processing and Control. 67. 102555–102555. 38 indexed citations
14.
Zhou, Ying, Lingjing Kong, Yiqiao Cai, et al.. (2020). A Decomposition-Based Local Search for Large-Scale Many-Objective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows. IEEE Systems Journal. 14(4). 5253–5264. 15 indexed citations
15.
16.
Liu, Shaopeng, Jiaming Hong, Xu Lu, et al.. (2019). Joint optic disc and cup segmentation using semi-supervised conditional GANs. Computers in Biology and Medicine. 115. 103485–103485. 48 indexed citations
17.
Liu, Tong, et al.. (2016). Human Daily Activity Recognition Using Ceiling Mounted PIR Sensors. 2 indexed citations
18.
Zhang, Honglai, et al.. (2015). Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography. Soft Computing. 21(5). 1291–1300. 1 indexed citations
19.
Lyu, Yongqiang, et al.. (2014). Dynamic evaluation model of coronary heart disease for ubiquitous healthcare. Computers in Industry. 69. 35–44. 7 indexed citations
20.
Hong, Jiaming, et al.. (2011). TrSVM: A Transfer Learning Algorithm Using Domain Similarity. 48(10). 1823. 6 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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