Weiwei Dai
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Soil Carbon and Nitrogen Dynamics 9
- Epidemiology 12
- Traumatic Brain Injury Research 9
- Co-authors
- Ivan Selesnick (13 shared papers)Edith Bai (9 shared papers)Janet C. Rucker (16 shared papers)John‐Ross Rizzo (16 shared papers)Todd E. Hudson (14 shared papers)Chao Wang (5 shared papers)Ping Jiang (4 shared papers)Bo Peng (4 shared papers)
- Journals
- Scientific Reports (3 papers)Journal of Tissue Viability (2 papers)Frontiers in Medicine (2 papers)International Journal of Orthopaedic and Trauma Nursing (2 papers)Biogeochemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiwei Dai
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Soil Science 307
- Cancer Research 111
- Human-Computer Interaction 41
- Orthopedics and Sports Medicine 52
- Epidemiology 131
Countries citing papers authored by Weiwei Dai
This map shows the geographic impact of Weiwei 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 Weiwei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Dai more than expected).
Fields of papers citing papers by Weiwei Dai
This network shows the impact of papers produced by Weiwei 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 Weiwei Dai. The network helps show where Weiwei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei 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
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 115 | |
| 2 | 2019 | 106 | |
| 3 | 2019 | 85 | |
| 4 | 2018 | 78 | |
| 5 | 2020 | 77 | |
| 6 | 2021 | 74 | |
| 7 | 2016 | 52 | |
| 8 | 2015 | 50 | |
| 9 | 2022 | 50 | |
| 10 | 2007 | 47 | |
| 11 | 2019 | 46 | |
| 12 | 2017 | 45 | |
| 13 | 2009 | 43 | |
| 14 | 2016 | 42 | |
| 15 | 2017 | 40 | |
| 16 | 2018 | 33 | |
| 17 | 2023 | 31 | |
| 18 | 2018 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2021 | 27 |
About Weiwei Dai
Weiwei Dai is a scholar working on Soil Science, Epidemiology, Human-Computer Interaction, Endocrinology, Diabetes and Metabolism and Orthopedics and Sports Medicine, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (9 papers), Soil Carbon and Nitrogen Dynamics (9 papers), Retinal Imaging and Analysis (5 papers), Bone health and osteoporosis research (4 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Gaze Tracking and Assistive Technology (4 papers), Syntax, Semantics, Linguistic Variation (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Soil Science (307 citations), Cancer Research (111 citations), Human-Computer Interaction (41 citations), Orthopedics and Sports Medicine (52 citations) and Epidemiology (131 citations). Weiwei Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ivan Selesnick, Edith Bai, Janet C. Rucker, John‐Ross Rizzo, Todd E. Hudson, Chao Wang, Ping Jiang, Bo Peng, Shibin Wang and Gaigai Cai. Their work appears in journals such as Scientific Reports, Journal of Tissue Viability, Frontiers in Medicine, International Journal of Orthopaedic and Trauma Nursing and Biogeochemistry.
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.