Hong Qin
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms 7
- Molecular Biology top 10%
- Connexins and lens biology 6
- Bioinformatics and Genomic Networks 6
- Fungal and yeast genetics research 5
- Heat shock proteins research 5
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- Brain Tumor Detection and Classification 5
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- 3D Shape Modeling and Analysis 5
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- Computer Graphics and Visualization Techniques 4
- Co-authors
- Qing ShaoDale W. LairdMoulay A. Alaoui‐JamaliSaurav MallikWen‐Hsiung LiWei Biao WuDaniel J. BelliveauSuleiman A. Igdoura
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Hong Qin
77 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 141
- Aging 36
- Health Information Management 52
- Molecular Biology 731
- Health Informatics 8
- Neurology 46
Countries citing papers authored by Hong Qin
This map shows the geographic impact of Hong Qin'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 Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Qin more than expected).
Fields of papers citing papers by Hong Qin
This network shows the impact of papers produced by Hong Qin. 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 Qin. The network helps show where Hong Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong Qin, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 31 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 15 | |
| 12 | Knowledge-inspired 3D Scene Graph Prediction in Point Cloud | 2021 | 13 |
| 13 | 2021 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 8 | |
| 17 | Identification of Haploid Maize Kernel Using NIR Spectroscopy in Reflectance and Transmittance Modes: A Comparative Study. | 2016 | 15 |
| 18 | 2016 | 2 | |
| 19 | 2013 | 7 | |
| 20 | Physically based morphing of point-sampled surfaces: Animating Geometrical Models | 2005 | 5 |
About Hong Qin
Hong Qin is a scholar working on Aging, Computer Graphics and Computer-Aided Design and Biophysics, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Connexins and lens biology (6 papers), Bioinformatics and Genomic Networks (6 papers), Brain Tumor Detection and Classification (5 papers), Fungal and yeast genetics research (5 papers), Heat shock proteins research (5 papers), 3D Shape Modeling and Analysis (5 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Aging (36 citations), Health Information Management (52 citations) and Molecular Biology (731 citations). Hong Qin has collaborated with scholars based in United States, India and China. Frequent co-authors include Qing Shao, Dale W. Laird, Moulay A. Alaoui‐Jamali, Saurav Mallik, Wen‐Hsiung Li, Wei Biao Wu, Daniel J. Belliveau, Suleiman A. Igdoura, Jacques Galipeau and Taiqi Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.