Hong Duan
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Topic Modeling (6 papers)Natural Language Processing Techniques (6 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Medical ImagingSustainability
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Hong Duan
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 901
- Computer Vision and Pattern Recognition 365
- Computational Theory and Mathematics 330
- Electrical and Electronic Engineering 172
- Control and Systems Engineering 145
Countries citing papers authored by Hong Duan
This map shows the geographic impact of Hong Duan'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 Hong Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Duan more than expected).
Fields of papers citing papers by Hong Duan
This network shows the impact of papers produced by Hong Duan. 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 Hong Duan. The network helps show where Hong Duan may publish in the future.
Co-authorship network of co-authors of Hong Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Duan. A scholar is included among the top collaborators of Hong Duan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong Duan. Hong Duan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences | 2 |
| 7 | Discriminative reordering model adaptation via structural learning | 2 |
| 8 | 76 | |
| 9 | 0 | |
| 10 | Research of Virtual Reality Software | 2 |
| 11 | 74 | |
| 12 | 103 | |
| 13 | 187 | |
| 14 | 59 | |
| 15 | 62 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 3 |
About Hong Duan
Hong Duan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (901 citations), Computational Theory and Mathematics (330 citations) and Computer Vision and Pattern Recognition (365 citations). Hong Duan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Gai‐Ge Wang, Lihong Guo, Heqi Wang, Luo Liu, Jinsong Su, Deyi Xiong, Amir H. Alavi, Amir H. Gandomi, Jiang Li and Biao Zhang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Medical Imaging and Sustainability.
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.