Hua Qi
Impact in
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Plant Science top 2%
- Plant Stress Responses and Tolerance
- Plant responses to water stress
- Plant Molecular Biology Research
Papers in
-
- Plant Molecular Biology Research 9
- Plant responses to water stress 8
- Plant Stress Responses and Tolerance 7
- Epidemiology 16
- Autophagy in Disease and Therapy 9
- Ophthalmology and Visual Impairment Studies 5
- Co-authors
- Shi XiaoFan‐Nv XiaChi Ho ToCarly Siu Yin LamLijuan XieWing Chun TangQinfang ChenLu‐Jun Yu
In The Last Decade
Hua Qi
71 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Ophthalmology 330
- Plant Science 991
- Epidemiology 923
- Radiology, Nuclear Medicine and Imaging 534
- Biochemistry 112
Countries citing papers authored by Hua Qi
This map shows the geographic impact of Hua 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 Hua Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Qi more than expected).
Fields of papers citing papers by Hua Qi
This network shows the impact of papers produced by Hua 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 Hua Qi. The network helps show where Hua Qi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 32 | |
| 11 | 2019 | 66 | |
| 12 | 2018 | 53 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 132 | |
| 15 | 2017 | 8 | |
| 16 | Effects of dietary tert-butylhydroquinone on growth performance, blood biochemical parameter, non-specific immunity and intestinal tissue structure of turbot (Scophthalmus maximus) | 2016 | 1 |
| 17 | Effects of deep loosening and nitrogen application on anatomical structures of stalk and lodging in maize. | 2013 | 7 |
| 18 | Study of the Real-time Data Transmission System by Virtue of Bluetooth in Control System | 2005 | 1 |
| 19 | Effect of E-selectin A561C (S128R) polymorphism on blood pressure, cardiac structure and cardiac function in patients with essential hypertension | 2005 | 1 |
| 20 | Construction of Symbol Database and Implementation of Visualization Based on ArcGIS | 2003 | 1 |
About Hua Qi
Hua Qi is a scholar working on Plant Science, Epidemiology, Computer Vision and Pattern Recognition, Ophthalmology and Human-Computer Interaction, having authored 75 papers that have together received 2.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Plant Molecular Biology Research (9 papers), Plant responses to water stress (8 papers), Plant Stress Responses and Tolerance (7 papers), Photosynthetic Processes and Mechanisms (6 papers), Ophthalmology and Visual Impairment Studies (5 papers), Corneal surgery and disorders (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Ophthalmology (330 citations), Plant Science (991 citations), Epidemiology (923 citations), Radiology, Nuclear Medicine and Imaging (534 citations) and Biochemistry (112 citations). Hua Qi has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Shi Xiao, Fan‐Nv Xia, Chi Ho To, Carly Siu Yin Lam, Lijuan Xie, Wing Chun Tang, Qinfang Chen, Lu‐Jun Yu, Dennis Y. Tse and Li Huang. Their work appears in journals such as The Plant Cell, Frontiers in Plant Science, Journal of Integrative Plant Biology, Autophagy and IEEE Transactions on Geoscience and Remote Sensing.
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.