Yejing Wang
Impact in
- Biomaterials top 2%
- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
- Rehabilitation top 2%
- Wound Healing and Treatments
Papers in
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- Recommender Systems and Techniques 17
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- Topic Modeling 6
- Advanced Graph Neural Networks 6
- Machine Learning and Data Classification 5
- Coding theory and cryptography 4
- Co-authors
- Huawei He (18 shared papers)Ping Zhao (11 shared papers)Hua Zuo (8 shared papers)Rui Cai (7 shared papers)Qingyou Xia (10 shared papers)Gang Tao (8 shared papers)Gang Tao (4 shared papers)Xiangyu Zhao (17 shared papers)
In The Last Decade
Yejing Wang
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Biomaterials 551
- Rehabilitation 206
- Microbiology 88
- Molecular Medicine 63
- Surfaces, Coatings and Films 54
Countries citing papers authored by Yejing Wang
This map shows the geographic impact of Yejing 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 Yejing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yejing Wang more than expected).
Fields of papers citing papers by Yejing Wang
This network shows the impact of papers produced by Yejing 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 Yejing Wang. The network helps show where Yejing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yejing 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
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2017 | 145 | |
| 3 | 2019 | 139 | |
| 4 | 2017 | 110 | |
| 5 | 2018 | 46 | |
| 6 | 2007 | 45 | |
| 7 | 2022 | 43 | |
| 8 | 2019 | 39 | |
| 9 | 2003 | 37 | |
| 10 | 2022 | 36 | |
| 11 | 2023 | 31 | |
| 12 | 2007 | 31 | |
| 13 | 2017 | 28 | |
| 14 | 2023 | 25 | |
| 15 | 2007 | 25 | |
| 16 | 2023 | 24 | |
| 17 | 2016 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2004 | 15 | |
| 20 | 2022 | 14 |
About Yejing Wang
Yejing Wang is a scholar working on Information Systems, Artificial Intelligence, Biomaterials, Molecular Biology and Electrical and Electronic Engineering, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Silk-based biomaterials and applications (14 papers), Topic Modeling (6 papers), Advanced Graph Neural Networks (6 papers), Neurobiology and Insect Physiology Research (5 papers), Machine Learning and Data Classification (5 papers), Coding theory and cryptography (4 papers) and Advanced Wireless Communication Techniques (4 papers). The work is most often cited by research in Biomaterials (551 citations), Rehabilitation (206 citations), Microbiology (88 citations), Molecular Medicine (63 citations) and Surfaces, Coatings and Films (54 citations). Yejing Wang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Huawei He, Ping Zhao, Hua Zuo, Rui Cai, Qingyou Xia, Gang Tao, Gang Tao, Xiangyu Zhao, Pengchao Guo and Liqun Chen. Their work appears in journals such as International Journal of Biological Macromolecules, Molecules, Materials Science and Engineering C, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.