Yang Ye
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Environmental Engineering top 10%
- Urban Stormwater Management Solutions
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Cognitive Science and Mapping 3
-
- Tea Polyphenols and Effects 9
- Co-authors
- Daniel Zeng (5 shared papers)Qingpeng Zhang (7 shared papers)Zhidong Cao (4 shared papers)Xia Li (1 shared paper)Haifeng Jia (2 shared papers)Changqing Xu (2 shared papers)Dingkun Yin (2 shared papers)Munan Ning (1 shared paper)
- Journals
- Journal of the Science of Food and Agriculture (3 papers)Sustainability (2 papers)Journal of Business Research (2 papers)LWT (2 papers)Foods (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yang Ye
75 papers receiving 1.1k citations
Yang Ye's Hit Papers
Peers
Comparison fields: 5 of 162
- Modeling and Simulation 71
- Environmental Engineering 162
- Biochemistry 58
- Pathology and Forensic Medicine 127
- Health 45
Countries citing papers authored by Yang Ye
This map shows the geographic impact of Yang Ye'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 Yang Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Ye more than expected).
Fields of papers citing papers by Yang Ye
This network shows the impact of papers produced by Yang Ye. 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 Yang Ye. The network helps show where Yang Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Ye, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 170 | |
| 2 | Video-LLaVA: Learning United Visual Representation by Alignment Before Projection Hit paper breakdown → | 2024 | 117 |
| 3 | 2022 | 96 | |
| 4 | 2008 | 71 | |
| 5 | 2010 | 66 | |
| 6 | 2022 | 55 | |
| 7 | 2021 | 53 | |
| 8 | 2011 | 48 | |
| 9 | 2023 | 47 | |
| 10 | 2020 | 45 | |
| 11 | 2007 | 29 | |
| 12 | 2021 | 24 | |
| 13 | Latent Features in Automatic Tense Translation between Chinese and English | 2006 | 17 |
| 14 | 2013 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2012 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2021 | 13 |
About Yang Ye
Yang Ye is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine, Information Systems, Infectious Diseases and Computer Networks and Communications, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (9 papers), Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), COVID-19 epidemiological studies (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Cooperative Communication and Network Coding (3 papers), Cognitive Science and Mapping (3 papers) and Software Engineering Techniques and Practices (3 papers). The work is most often cited by research in Modeling and Simulation (71 citations), Environmental Engineering (162 citations), Biochemistry (58 citations), Pathology and Forensic Medicine (127 citations) and Health (45 citations). Yang Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daniel Zeng, Qingpeng Zhang, Zhidong Cao, Xia Li, Haifeng Jia, Changqing Xu, Dingkun Yin, Munan Ning, Bin Zhu and Bin Lin. Their work appears in journals such as Journal of the Science of Food and Agriculture, Sustainability, Journal of Business Research, LWT and Foods.
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.