Renying Wang
Impact in
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- Safe Handling of Antineoplastic Drugs
Papers in
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- Single-cell and spatial transcriptomics 6
- Pluripotent Stem Cells Research 2
- Gene Regulatory Network Analysis 2
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- Generative Adversarial Networks and Image Synthesis 2
- Face recognition and analysis 2
- Co-authors
- Lijiang Fei (4 shared papers)Xiangwei Kong (1 shared paper)Xiaoping Han (7 shared papers)Guoji Guo (7 shared papers)Guoping Li (1 shared paper)Yuqing Mei (2 shared papers)Jingjing Wang (3 shared papers)Lan Hu (1 shared paper)
- Journals
- IEEE Signal Processing Letters (2 papers)Advanced Science (1 paper)Medicine (1 paper)Annals of Medicine (1 paper)Cell (1 paper)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Renying Wang
17 papers receiving 183 citations
Peers
Comparison fields: 5 of 73
- Chemical Health and Safety 2
- Occupational Therapy 9
- Computer Vision and Pattern Recognition 39
- Aging 3
- Immunology 26
Countries citing papers authored by Renying Wang
This map shows the geographic impact of Renying Wang'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 Renying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renying Wang more than expected).
Fields of papers citing papers by Renying Wang
This network shows the impact of papers produced by Renying Wang. 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 Renying Wang. The network helps show where Renying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Renying Wang, 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 | 2022 | 59 | |
| 2 | 2021 | 18 | |
| 3 | 2002 | 16 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 15 | |
| 6 | 2016 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2024 | 8 | |
| 9 | 2025 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2008 | 2 | |
| 17 | An Offline Matching Method for Large Scale Trajectories | 2017 | 1 |
| 18 | 2022 | 0 | |
| 19 | 2023 | 0 |
About Renying Wang
Renying Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Immunology, Critical Care and Intensive Care Medicine and Oncology, having authored 19 papers that have together received 187 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Pluripotent Stem Cells Research (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Traffic Prediction and Management Techniques (2 papers), Complement system in diseases (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Chemical Health and Safety (2 citations), Occupational Therapy (9 citations), Computer Vision and Pattern Recognition (39 citations), Aging (3 citations) and Immunology (26 citations). Renying Wang has collaborated with scholars based in China, India and United States. Frequent co-authors include Lijiang Fei, Xiangwei Kong, Xiaoping Han, Guoji Guo, Guoping Li, Yuqing Mei, Jingjing Wang, Lan Hu, Mengmeng Jiang and Xiaoshan Wang. Their work appears in journals such as IEEE Signal Processing Letters, Advanced Science, Medicine, Annals of Medicine and Cell.
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.