Hai Ye
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Domain Adaptation and Few-Shot Learning 3
-
- HVDC Systems and Fault Protection 4
- Islanding Detection in Power Systems 3
- Co-authors
- Heye Zhang (2 shared papers)Jun Xia (2 shared papers)Lu Wang (1 shared paper)Nannan Dong (1 shared paper)Hang Yu (1 shared paper)Zhunchen Luo (3 shared papers)Yang He (1 shared paper)Ruidan He (3 shared papers)
- Journals
- Optics Express (2 papers)Journal of Applied Polymer Science (2 papers)IEEE Transactions on Smart Grid (2 papers)Journal of Food Composition and Analysis (1 paper)World Neurosurgery (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Hai Ye
41 papers receiving 754 citations
Peers
Comparison fields: 5 of 118
- Health Informatics 18
- Artificial Intelligence 262
- Neurology 66
- Neurology 117
- Environmental Engineering 78
Countries citing papers authored by Hai Ye
This map shows the geographic impact of Hai 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 Hai Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Ye more than expected).
Fields of papers citing papers by Hai Ye
This network shows the impact of papers produced by Hai 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 Hai Ye. The network helps show where Hai Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 170 | |
| 2 | 2016 | 80 | |
| 3 | 2018 | 78 | |
| 4 | 2021 | 73 | |
| 5 | 2018 | 41 | |
| 6 | 2020 | 35 | |
| 7 | Interpretable Rationale Augmented Charge Prediction System | 2018 | 30 |
| 8 | 2022 | 29 | |
| 9 | 2020 | 27 | |
| 10 | 2007 | 21 | |
| 11 | 2017 | 21 | |
| 12 | 2008 | 18 | |
| 13 | 2019 | 18 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2023 | 10 | |
| 19 | Water-soluble gambogic acid PEGylated prodrugs: synthesis, characterization, physicochemical properties and in vitro hydrolysis. | 2008 | 10 |
| 20 | 2024 | 9 |
About Hai Ye
Hai Ye is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 44 papers that have together received 770 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers), HVDC Systems and Fault Protection (4 papers), Nonlinear Photonic Systems (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Fiber Laser Technologies (3 papers), Power Systems Fault Detection (3 papers) and Islanding Detection in Power Systems (3 papers). The work is most often cited by research in Health Informatics (18 citations), Artificial Intelligence (262 citations), Neurology (66 citations), Neurology (117 citations) and Environmental Engineering (78 citations). Hai Ye has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Heye Zhang, Jun Xia, Lu Wang, Nannan Dong, Hang Yu, Zhunchen Luo, Yang He, Ruidan He, Lidong Bing and Qingyu Tan. Their work appears in journals such as Optics Express, Journal of Applied Polymer Science, IEEE Transactions on Smart Grid, Journal of Food Composition and Analysis and World Neurosurgery.
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.