Zihao Ye
Impact in
- Computational Mathematics top 5%
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Graph Theory and Algorithms 3
-
- Topic Modeling 3
- Advanced Graph Neural Networks 3
- Co-authors
- Da Zheng (3 shared papers)Chao Ma (2 shared papers)Zheng Zhang (2 shared papers)Minjie Wang (2 shared papers)Llewellyn Tang (1 shared paper)Mufei Li (1 shared paper)Alexander J. Smola (1 shared paper)Quan Gan (2 shared papers)
- Journals
- Chelonian Conservation and Biology (3 papers)Agriculture Ecosystems & Environment (1 paper)Global Ecology and Conservation (1 paper)Construction Innovation (1 paper)Agronomy (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zihao Ye
34 papers receiving 798 citations
Peers
Comparison fields: 5 of 117
- Computational Mathematics 24
- Hardware and Architecture 89
- Artificial Intelligence 403
- Computer Vision and Pattern Recognition 235
- Computer Networks and Communications 116
Countries citing papers authored by Zihao Ye
This map shows the geographic impact of Zihao 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 Zihao Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zihao Ye more than expected).
Fields of papers citing papers by Zihao Ye
This network shows the impact of papers produced by Zihao 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 Zihao Ye. The network helps show where Zihao Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Zihao 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs | 2019 | 273 |
| 2 | 2020 | 91 | |
| 3 | 2021 | 86 | |
| 4 | 2018 | 69 | |
| 5 | 2023 | 53 | |
| 6 | 2020 | 44 | |
| 7 | 2023 | 39 | |
| 8 | 2012 | 22 | |
| 9 | 2023 | 16 | |
| 10 | 2017 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2012 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 4 |
About Zihao Ye
Zihao Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ecology, Global and Planetary Change and Nature and Landscape Conservation, having authored 41 papers that have together received 815 indexed citations. Recurring topics across this work include Turtle Biology and Conservation (5 papers), Amphibian and Reptile Biology (5 papers), Soil Carbon and Nitrogen Dynamics (4 papers), Aquaculture Nutrition and Growth (3 papers), Topic Modeling (3 papers), Graph Theory and Algorithms (3 papers), Advanced Graph Neural Networks (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Computational Mathematics (24 citations), Hardware and Architecture (89 citations), Artificial Intelligence (403 citations), Computer Vision and Pattern Recognition (235 citations) and Computer Networks and Communications (116 citations). Zihao Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Da Zheng, Chao Ma, Zheng Zhang, Minjie Wang, Llewellyn Tang, Mufei Li, Alexander J. Smola, Quan Gan, Qi Huang and Jinjing Zhou. Their work appears in journals such as Chelonian Conservation and Biology, Agriculture Ecosystems & Environment, Global Ecology and Conservation, Construction Innovation and Agronomy.
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.