Qi He
Impact in
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- Image Enhancement Techniques
- Advanced Neural Network Applications
- Gastroenterology top 10%
Papers in
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- Digital Imaging for Blood Diseases 4
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- Gastric Cancer Management and Outcomes 6
- Co-authors
- Antonio Liotta (1 shared paper)Wei Song (1 shared paper)Minghua Zhang (1 shared paper)Beiji Zou (4 shared papers)Feng Wang (1 shared paper)Xujie Wang (1 shared paper)Zailiang Chen (3 shared papers)Sophia Bano (4 shared papers)
- Journals
- Neurocomputing (3 papers)Environmental Science and Pollution Research (2 papers)International Journal of Computer Assisted Radiology and Surgery (2 papers)Chemosphere (2 papers)Energy (1 paper)
- Partner nations
- ChinaUnited KingdomSaint Kitts and Nevis
In The Last Decade
Qi He
31 papers receiving 489 citations
Qi He's Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 183
- Gastroenterology 41
- Water Science and Technology 68
- Ophthalmology 32
- Oceanography 41
Countries citing papers authored by Qi He
This map shows the geographic impact of Qi He'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 Qi He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi He more than expected).
Fields of papers citing papers by Qi He
This network shows the impact of papers produced by Qi He. 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 Qi He. The network helps show where Qi He may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A systematic review and analysis of deep learning-based underwater object detection Hit paper breakdown → | 2023 | 161 |
| 2 | 2020 | 48 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2022 | 17 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2024 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2013 | 4 |
About Qi He
Qi He is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Surgery, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 503 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (6 papers), Glaucoma and retinal disorders (4 papers), Digital Imaging for Blood Diseases (4 papers), Retinal Imaging and Analysis (4 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Colorectal Cancer Screening and Detection (3 papers), Soil and Unsaturated Flow (2 papers) and Ammonia Synthesis and Nitrogen Reduction (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Gastroenterology (41 citations), Water Science and Technology (68 citations), Ophthalmology (32 citations) and Oceanography (41 citations). Qi He has collaborated with scholars based in China, United Kingdom and Saint Kitts and Nevis. Frequent co-authors include Antonio Liotta, Wei Song, Minghua Zhang, Beiji Zou, Feng Wang, Xujie Wang, Zailiang Chen, Sophia Bano, Danail Stoyanov and Siyang Zuo. Their work appears in journals such as Neurocomputing, Environmental Science and Pollution Research, International Journal of Computer Assisted Radiology and Surgery, Chemosphere and Energy.
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.