Guohua Deng

499 total citations
23 papers, 341 citations indexed

About

Guohua Deng is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Guohua Deng has authored 23 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ophthalmology, 14 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Infectious Diseases. Recurrent topics in Guohua Deng's work include Glaucoma and retinal disorders (9 papers), Retinal Imaging and Analysis (7 papers) and Retinal Diseases and Treatments (6 papers). Guohua Deng is often cited by papers focused on Glaucoma and retinal disorders (9 papers), Retinal Imaging and Analysis (7 papers) and Retinal Diseases and Treatments (6 papers). Guohua Deng collaborates with scholars based in China, United Kingdom and United States. Guohua Deng's co-authors include Chunhui Jiang, Guohua Shi, Yi He, Wanyue Li, Xiaoqing Liu, Xinghuai Sun, Jian Yu, Xiaochun Shi, Aixia Wang and Jing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Guohua Deng

23 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohua Deng China 13 185 179 59 59 57 23 341
Bjorn Kaijun Betzler Singapore 14 458 2.5× 242 1.4× 44 0.7× 71 1.2× 28 0.5× 35 582
Bhavana Sharma India 12 202 1.1× 133 0.7× 47 0.8× 23 0.4× 74 1.3× 53 330
Joseph R. Martel United States 8 134 0.7× 73 0.4× 38 0.6× 26 0.4× 167 2.9× 21 365
David Lockington United Kingdom 13 405 2.2× 240 1.3× 62 1.1× 15 0.3× 91 1.6× 67 532
Juan Mompeán Spain 11 88 0.5× 98 0.5× 356 6.0× 12 0.2× 16 0.3× 29 553
Idan Hecht Israel 15 444 2.4× 287 1.6× 62 1.1× 69 1.2× 82 1.4× 80 679
Sidra Zafar United States 16 532 2.9× 234 1.3× 117 2.0× 5 0.1× 77 1.4× 82 693
Sih‐Shiang Huang Taiwan 8 99 0.5× 89 0.5× 41 0.7× 16 0.3× 37 0.6× 25 306
Ramin Salouti Iran 15 451 2.4× 480 2.7× 20 0.3× 27 0.5× 155 2.7× 43 598
Charlotte Chung United States 8 32 0.2× 47 0.3× 20 0.3× 22 0.4× 30 0.5× 39 259

Countries citing papers authored by Guohua Deng

Since Specialization
Citations

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

Fields of papers citing papers by Guohua Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohua Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Deng. A scholar is included among the top collaborators of Guohua Deng 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 Guohua Deng. Guohua Deng 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.
Xu, Yufei, Guohua Deng, Jun Zhang, et al.. (2023). Efficacy of four anti-vascular endothelial growth factor agents and laser treatment for retinopathy of prematurity: A network meta-analysis. SHILAP Revista de lepidopterología. 24(4). 676–687. 1 indexed citations
2.
Li, Wanyue, Jing Wang, Yi He, et al.. (2022). A Weakly Supervised Deep Learning Approach for Leakage Detection in Fluorescein Angiography Images. Translational Vision Science & Technology. 11(3). 9–9. 11 indexed citations
3.
Li, Wanyue, Qian Chen, Chunhui Jiang, et al.. (2021). Automatic Anterior Chamber Angle Classification Using Deep Learning System and Anterior Segment Optical Coherence Tomography Images. Translational Vision Science & Technology. 10(6). 19–19. 15 indexed citations
4.
Yu, Jian, et al.. (2020). Silicone Oil Emulsification after Vitrectomy for Rhegmatogenous Retinal Detachment. Journal of Ophthalmology. 2020. 1–6. 13 indexed citations
5.
Zhu, Minghui, et al.. (2020). Assessment of ventilator-associated pneumonia by combining 8-isoprostane and nitric oxide levels in exhaled breath condensate with the clinical pulmonary infection score. Journal of International Medical Research. 48(5). 1220722024–1220722024. 3 indexed citations
6.
Yu, Jian, Wanyue Li, Qian Chen, et al.. (2020). Automatic Classification of Anterior Chamber Angle Based on Ultrasound Biomicroscopy Images. Ophthalmic Research. 64(5). 732–739. 1 indexed citations
7.
8.
Shi, Guohua, Guohua Deng, Guangxing Liu, et al.. (2019). Automatic Classification of Anterior Chamber Angle Using Ultrasound Biomicroscopy and Deep Learning. Translational Vision Science & Technology. 8(4). 25–25. 18 indexed citations
10.
Wang, Jing, Guohua Deng, Wanyue Li, et al.. (2019). Deep learning for quality assessment of retinal OCT images. Biomedical Optics Express. 10(12). 6057–6057. 49 indexed citations
11.
Gu, Ruiping, Guohua Deng, Yi Jiang, Chunhui Jiang, & Gezhi Xu. (2018). Area of the cone interdigitation zone in healthy Chinese adults and its correlation with macular volume. BMC Ophthalmology. 18(1). 188–188. 5 indexed citations
12.
Sun, Zhuo, et al.. (2018). Corneal Debridement Combined with Intrastromal Voriconazole for Recalcitrant Fungal Keratitis. Journal of Ophthalmology. 2018. 1–8. 10 indexed citations
13.
Shi, Xiaochun, et al.. (2017). Analysis of Factors Influencing Diagnostic Accuracy of T-SPOT.TB for Active Tuberculosis in Clinical Practice. Scientific Reports. 7(1). 7764–7764. 15 indexed citations
14.
He, Yi, et al.. (2017). Optimization of SIFT algorithm for fast-image feature extraction in line-scanning ophthalmoscope. Optik. 152. 21–28. 28 indexed citations
15.
Xu, Huan, Guohua Deng, Chunhui Jiang, et al.. (2016). Microcirculatory Responses to Hyperoxia in Macular and Peripapillary Regions. Investigative Ophthalmology & Visual Science. 57(10). 4464–4464. 37 indexed citations
16.
Zhou, Minwen, et al.. (2015). Photodynamic therapy versus anti-vascular endothelial growth factor agents for polypoidal choroidal vasculopathy: A meta-analysis. BMC Ophthalmology. 15(1). 82–82. 18 indexed citations
17.
Zhang, Lifan, Yueqiu Zhang, Xiaochun Shi, et al.. (2014). Utility of T-Cell Interferon-γ Release Assays for Diagnosing Tuberculous Serositis: A Prospective Study in Beijing, China. PLoS ONE. 9(1). e85030–e85030. 25 indexed citations
18.
Shi, Xiaochun, Xiaoqing Liu, Lifan Zhang, et al.. (2013). Major causes of fever of unknown origin at Peking Union Medical College Hospital in the past 26 years. Chinese Medical Journal. 126(5). 808–812. 23 indexed citations
19.
Liu, Xiaoqing, et al.. (2010). Longitudinal observation of an interferon gamma-released assay (T-SPOT.TB) for Mycobacterium tuberculosis infection in AIDS patients on highly active antiretroviral therapy.. PubMed. 123(9). 1117–21. 8 indexed citations
20.
Ma, Xiaojun, et al.. (2004). [A clinical review of 449 cases with fever of unknown origin].. PubMed. 43(9). 682–5. 12 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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