Wu Dai
Impact in
- Insect Science top 1%
- Insect-Plant Interactions and Control
- Insect symbiosis and bacterial influences
- Horticulture top 5%
Papers in
-
- Phytoplasmas and Hemiptera pathogens 62
-
- Hymenoptera taxonomy and phylogeny 18
- Fossil Insects in Amber 14
- Hemiptera Insect Studies 10
- Co-authors
- Chris H. Dietrich (20 shared papers)Chunni Zhang (23 shared papers)Yalin Zhang (29 shared papers)Yimin Du (6 shared papers)Jolanta Brożek (8 shared papers)Yan Wang (4 shared papers)Bowen Tang (6 shared papers)Ya‐Nan Hao (2 shared papers)
- Journals
- Zootaxa (26 papers)Insects (11 papers)Journal of Agricultural and Food Chemistry (8 papers)Arthropod Structure & Development (4 papers)Pesticide Biochemistry and Physiology (4 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Wu Dai
84 papers receiving 887 citations
Peers
Comparison fields: 5 of 55
- Insect Science 472
- Horticulture 23
- Ecology, Evolution, Behavior and Systematics 366
- Plant Science 491
- Cellular and Molecular Neuroscience 136
Countries citing papers authored by Wu Dai
This map shows the geographic impact of Wu 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 Wu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Dai more than expected).
Fields of papers citing papers by Wu Dai
This network shows the impact of papers produced by Wu 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 Wu Dai. The network helps show where Wu Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 49 | |
| 2 | 2010 | 47 | |
| 3 | 2016 | 46 | |
| 4 | 2017 | 38 | |
| 5 | 2018 | 32 | |
| 6 | 2019 | 32 | |
| 7 | 2016 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 2013 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2023 | 23 | |
| 12 | 2012 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2023 | 20 | |
| 16 | 2013 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2016 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 2021 | 16 |
About Wu Dai
Wu Dai is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Insect Science, Molecular Biology and Genetics, having authored 90 papers that have together received 921 indexed citations. Recurring topics across this work include Phytoplasmas and Hemiptera pathogens (62 papers), Insect-Plant Interactions and Control (30 papers), Hymenoptera taxonomy and phylogeny (18 papers), Fossil Insects in Amber (14 papers), Plant and Fungal Species Descriptions (11 papers), Hemiptera Insect Studies (10 papers), Insect Resistance and Genetics (10 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Insect Science (472 citations), Horticulture (23 citations), Ecology, Evolution, Behavior and Systematics (366 citations), Plant Science (491 citations) and Cellular and Molecular Neuroscience (136 citations). Wu Dai has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Chris H. Dietrich, Chunni Zhang, Yalin Zhang, Yimin Du, Jolanta Brożek, Yan Wang, Bowen Tang, Ya‐Nan Hao, C. A. Viraktamath and Sindhu M. Krishnankutty. Their work appears in journals such as Zootaxa, Insects, Journal of Agricultural and Food Chemistry, Arthropod Structure & Development and Pesticide Biochemistry and Physiology.
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.