Xiang Dai
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 15
- Natural Language Processing Techniques 8
- Machine Learning in Healthcare 4
- Co-authors
- Heike AdelSarvnaz KarimiCécile ParisBen HacheyAnthony NguyenDesmond ElliottHamed HassanzadehSune Darkner
- Journals
- PLoS ONE (2 papers)Emerging Markets Finance and Trade (1 paper)Optics Communications (1 paper)European Journal of Sport Science (1 paper)American Journal of Tropical Medicine and Hygiene (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiang Dai
48 papers receiving 590 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 17
- Artificial Intelligence 329
- Parasitology 50
- Management Science and Operations Research 54
- Genetics 116
Countries citing papers authored by Xiang Dai
This map shows the geographic impact of Xiang Dai'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 Xiang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Dai more than expected).
Fields of papers citing papers by Xiang Dai
This network shows the impact of papers produced by Xiang Dai. 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 Xiang Dai. The network helps show where Xiang Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 55 | |
| 13 | 2020 | 111 | |
| 14 | 2020 | 1 | |
| 15 | BUSINESS ENVIRONMENT AND GVC UPGRADING | 2020 | 1 |
| 16 | 2019 | 6 | |
| 17 | Study on the pesticide-delivery system of variable-rate spraying based on BP neural network. | 2017 | 1 |
| 18 | 2017 | 38 | |
| 19 | Empirical Analysis on the Determinants of China's Unbalanced Foreign Trade Development | 2011 | 1 |
| 20 | EFFECTS OF TEMPERATURE AND SALINITY TO ENERGY BUDGET OF LATEOLABRAX JAPONICUS | 1998 | 6 |
About Xiang Dai
Xiang Dai is a scholar working on Health Informatics, Artificial Intelligence, General Economics, Econometrics and Finance, Orthopedics and Sports Medicine and Insect Science, having authored 52 papers that have together received 621 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (8 papers), Biomedical Text Mining and Ontologies (7 papers), Yersinia bacterium, plague, ectoparasites research (7 papers), Global trade and economics (4 papers), Viral Infections and Vectors (4 papers), Machine Learning in Healthcare (4 papers) and Sports Performance and Training (3 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (329 citations), Parasitology (50 citations), Management Science and Operations Research (54 citations) and Genetics (116 citations). Xiang Dai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Heike Adel, Sarvnaz Karimi, Cécile Paris, Ben Hachey, Anthony Nguyen, Desmond Elliott, Hamed Hassanzadeh, Sune Darkner, Ilias Chalkidis and Yujiang Zhang. Their work appears in journals such as PLoS ONE, Emerging Markets Finance and Trade, Optics Communications, European Journal of Sport Science and American Journal of Tropical Medicine and Hygiene.
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.