Tuan A. Duong
- Cell Biology top 1%
- Plant Pathogens and Fungal Diseases 49
- Insect Science top 1%
- Forest Ecology and Biodiversity Studies 15
- Ecology top 2%
- Forest Insect Ecology and Management 40
- Endocrinology top 5%
- Plant Science top 2%
- Mycorrhizal Fungi and Plant Interactions 31
- Plant Disease Resistance and Genetics 13
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- Neural Networks and Applications 22
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- Yeasts and Rust Fungi Studies 15
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- Advanced Memory and Neural Computing 10
- Co-authors
- Michael J. WingfieldZ. Wilhelm de BeerBrenda D. WingfieldIrene BarnesSeonju MarincowitzStephen J. TaerumNoëlani van den BergJuanita Engelbrecht
- Cited by
- Cell BiologyInsect ScienceEcology
- Partner nations
- South AfricaUnited StatesChina
In The Last Decade
Tuan A. Duong
110 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 998
- Insect Science 519
- Ecology 837
- Endocrinology 152
- Plant Science 1.1k
Countries citing papers authored by Tuan A. Duong
This map shows the geographic impact of Tuan A. Duong'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 Tuan A. Duong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuan A. Duong more than expected).
Fields of papers citing papers by Tuan A. Duong
This network shows the impact of papers produced by Tuan A. Duong. 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 Tuan A. Duong. The network helps show where Tuan A. Duong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tuan A. Duong, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 34 | |
| 16 | 2014 | 20 | |
| 17 | 2012 | 67 | |
| 18 | Learning in neural networks: VLSI implementation strategies | 1996 | 4 |
| 19 | Cascade Error Projection Learning Theory | 1995 | 1 |
| 20 | Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks | 1989 | 17 |
About Tuan A. Duong
Tuan A. Duong is a scholar working on Cell Biology, Insect Science and Ecology, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (49 papers), Forest Insect Ecology and Management (40 papers), Mycorrhizal Fungi and Plant Interactions (31 papers), Neural Networks and Applications (22 papers), Yeasts and Rust Fungi Studies (15 papers), Forest Ecology and Biodiversity Studies (15 papers), Plant Disease Resistance and Genetics (13 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Cell Biology (998 citations), Insect Science (519 citations) and Ecology (837 citations). Tuan A. Duong has collaborated with scholars based in South Africa, United States and China. Frequent co-authors include Michael J. Wingfield, Z. Wilhelm de Beer, Brenda D. Wingfield, Irene Barnes, Seonju Marincowitz, Stephen J. Taerum, Noëlani van den Berg, Juanita Engelbrecht, Xudong Zhou and Wilma J. Nel. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.
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.