Hang Yuan
- Molecular Biology
- Pharmacology top 10%
- Pharmacology top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Rama NatarajanShulian LiLinda LantingDavid C. LambBin ZhaoMichael R. WatermanMarpadga A. ReddyQiangjun Cai
- Topics
- Microbial Natural Products and Biosynthesis (4 papers)Sleep and related disorders (4 papers)Topic Modeling (3 papers)
- Cited by
- PharmacologyMolecular Biology
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaApplied and Environmental Microbiology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hang Yuan
34 papers receiving 606 citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 242
- Pharmacology 111
- Pharmacology 81
- Artificial Intelligence 60
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Hang Yuan
This map shows the geographic impact of Hang Yuan'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 Hang Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yuan more than expected).
Fields of papers citing papers by Hang Yuan
This network shows the impact of papers produced by Hang Yuan. 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 Hang Yuan. The network helps show where Hang Yuan may publish in the future.
Co-authorship network of co-authors of Hang Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yuan. A scholar is included among the top collaborators of Hang Yuan 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 Hang Yuan. Hang Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 29 | |
| 15 | YNU-HPCC at IJCNLP-2017 Task 5: Multi-choice Question Answering in Exams Using an Attention-based LSTM Model | 1 |
| 16 | 22 | |
| 17 | 22 | |
| 18 | 67 | |
| 19 | 25 | |
| 20 | 37 |
About Hang Yuan
Hang Yuan is a scholar working on Health Informatics, Experimental and Cognitive Psychology and Pharmacology, having authored 36 papers that have together received 615 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (4 papers), Sleep and related disorders (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Pharmacology (81 citations), Pharmacology (111 citations) and Molecular Biology (242 citations). Hang Yuan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Rama Natarajan, Shulian Li, Linda Lanting, David C. Lamb, Bin Zhao, Michael R. Waterman, Marpadga A. Reddy, Qiangjun Cai, Aiden Doherty and Steven L. Kelly. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.
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.