Hong Qi

3.6k total citations
86 papers, 1.6k citations indexed

About

Hong Qi is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Hong Qi has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Public Health, Environmental and Occupational Health, 46 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Ophthalmology. Recurrent topics in Hong Qi's work include Ocular Surface and Contact Lens (45 papers), Corneal surgery and disorders (27 papers) and Glaucoma and retinal disorders (19 papers). Hong Qi is often cited by papers focused on Ocular Surface and Contact Lens (45 papers), Corneal surgery and disorders (27 papers) and Glaucoma and retinal disorders (19 papers). Hong Qi collaborates with scholars based in China, United States and United Kingdom. Hong Qi's co-authors include De‐Quan Li, Kyung Chul Yoon, Stephen C. Pflugfelder, Rongjun Liu, Yitian Zhao, William J. Farley, Cintia S. de Paiva, Baikai Ma, Neil F. Johnson and Jiang Liu and has published in prestigious journals such as Science, New England Journal of Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Hong Qi

81 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Qi China 21 721 712 415 127 122 86 1.6k
Paul G. Fisher United States 38 497 0.7× 332 0.5× 133 0.3× 38 0.3× 82 0.7× 158 5.5k
Chris Barry Australia 21 630 0.9× 104 0.1× 803 1.9× 69 0.5× 94 0.8× 94 1.8k
Andy Liu United States 21 173 0.2× 128 0.2× 138 0.3× 18 0.1× 39 0.3× 110 1.7k
Titus J. Brinker Germany 28 857 1.2× 148 0.2× 23 0.1× 245 1.9× 33 0.3× 105 3.0k
David J. Lund United States 19 135 0.2× 629 0.9× 685 1.7× 11 0.1× 99 0.8× 104 1.7k
John V. Pearson Australia 24 287 0.4× 299 0.4× 29 0.1× 35 0.3× 72 0.6× 59 3.7k
Gary L. Rogers United States 26 244 0.3× 61 0.1× 562 1.4× 24 0.2× 24 0.2× 91 1.9k
Dennis S.C. Lam Hong Kong 30 1.1k 1.5× 246 0.3× 1.9k 4.6× 18 0.1× 5 0.0× 86 2.7k
Claudia Mello‐Thoms Australia 26 1.3k 1.8× 221 0.3× 37 0.1× 308 2.4× 37 0.3× 137 2.5k
Susan Astley United Kingdom 27 990 1.4× 85 0.1× 38 0.1× 761 6.0× 25 0.2× 94 3.2k

Countries citing papers authored by Hong Qi

Since Specialization
Citations

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

Fields of papers citing papers by Hong Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Qi. A scholar is included among the top collaborators of Hong Qi 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 Hong Qi. Hong Qi 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.
Wang, Ziwei, et al.. (2025). 6PPD induces apoptosis and autophagy in SH-SY5Y cells via ROS-mediated PI3K/AKT/mTOR pathway: In vitro and in silico approaches. Toxicology. 513. 154091–154091. 2 indexed citations
2.
3.
Zhao, Lu, Yu Zhang, Baikai Ma, et al.. (2024). Analysis of Clinical Characteristics and Neuropeptides in Patients with Dry Eye with and without Chronic Ocular Pain after FS-LASIK. Ophthalmology and Therapy. 13(3). 711–723. 3 indexed citations
4.
Zhou, Yifan, Yiyun Liu, Baikai Ma, et al.. (2024). Dry eye disease adverse reaction of pharmacological treatment for early-stage breast cancer. The Ocular Surface. 34. 124–131. 2 indexed citations
5.
Qi, Hong, et al.. (2024). Assessing the possibility of using large language models in ocular surface diseases. International Journal of Ophthalmology. 18(1). 1–8. 6 indexed citations
6.
Zhao, Lu, Tingting Yang, Baikai Ma, et al.. (2024). Clinical Characteristic and Tear Film Biomarkers After Myopic FS-LASIK: 1-Year Prospective Follow-up. Journal of Refractive Surgery. 40(8). e508–e519. 4 indexed citations
7.
Kwapong, William Robert, Ting Shen, Huazhu Fu, et al.. (2024). Early detection of dementia through retinal imaging and trustworthy AI. npj Digital Medicine. 7(1). 294–294. 14 indexed citations
8.
Xie, Jianyang, Quanyong Yi, Yufei Wu, et al.. (2023). Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer’s disease and mild cognitive impairment. British Journal of Ophthalmology. 108(3). 432–439. 24 indexed citations
9.
Ma, Baikai, et al.. (2022). Progress of Bulbar Conjunctival Microcirculation Alterations in the Diagnosis of Ocular Diseases. Disease Markers. 2022. 1–6. 5 indexed citations
10.
Mou, Lei, Hong Qi, Yonghuai Liu, et al.. (2022). DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity. IEEE Transactions on Medical Imaging. 41(8). 2079–2091. 10 indexed citations
11.
Ma, Baikai, Kun Zhao, Rongjun Liu, et al.. (2019). Objective analysis of corneal subbasal nerve tortuosity and its changes in patients with dry eye and diabetes. Zhonghua shiyan yanke zazhi. 37(8). 638–644. 4 indexed citations
12.
Qi, Hong, et al.. (2019). Tear Inflammatory Cytokines Analysis and Clinical Correlations in Diabetes and Non-diabetes with Dry Eye. Investigative Ophthalmology & Visual Science. 60(9). 4722–4722. 14 indexed citations
13.
Zhao, Yitian, Yonghuai Liu, Jianyang Xie, et al.. (2019). Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering. IEEE Transactions on Medical Imaging. 39(2). 341–356. 41 indexed citations
14.
Williams, Bryan M., Davide Borroni, Rongjun Liu, et al.. (2019). An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study. Diabetologia. 63(2). 419–430. 111 indexed citations
15.
Ma, Baikai, et al.. (2018). Clinical evaluation of the optimal pulse technology treatment for dry eye disease caused by meibomian gland dysfunction. Investigative Ophthalmology & Visual Science. 59(9). 4916–4916. 1 indexed citations
16.
Chen, Huijin, et al.. (2014). Expression of Th17 related cytokines on ocular surface of dry eye and its significance. Zhonghua shiyan yanke zazhi. 32(7). 641–646. 2 indexed citations
17.
Qi, Hong, et al.. (2014). Rapid Measurement of Wood Fiber Width Based on Information Extraction and Gray Projection. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Qi, Hong, Kyung Chul Yoon, Cintia S. de Paiva, et al.. (2011). Patterned expression of neurotrophic factors and receptors in human limbal and corneal regions-0. PubMed. 13. 1934–41. 54 indexed citations
19.
Qi, Hong, et al.. (2008). Expression of glial cell-derived neurotrophic factor and its receptor in the stem-cell-containing human limbal epithelium. British Journal of Ophthalmology. 92(9). 1269–1274. 21 indexed citations
20.
Sun, Baocun, Shiwu Zhang, Xiulan Zhao, et al.. (2004). Correlation of VEGF and COX-2 expression with VM in malignant melanomas. Chinese Journal of Clinical Oncology. 1(5). 322–327. 3 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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