Hongbin Dong
- Artificial Intelligence top 2%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Pharmacology top 5%
- Co-authors
- Vasilis VasiliouDaniel W. NebertRui DingDavid C. ThompsonHoward G. ShertzerYing ChenJun HeShuang Han
- Topics
- Metaheuristic Optimization Algorithms Research (28 papers)Evolutionary Algorithms and Applications (16 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hongbin Dong
108 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 493
- Molecular Biology 343
- Computational Theory and Mathematics 226
- Computer Vision and Pattern Recognition 169
- Pharmacology 122
Countries citing papers authored by Hongbin Dong
This map shows the geographic impact of Hongbin Dong'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 Hongbin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongbin Dong more than expected).
Fields of papers citing papers by Hongbin Dong
This network shows the impact of papers produced by Hongbin Dong. 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 Hongbin Dong. The network helps show where Hongbin Dong may publish in the future.
Co-authorship network of co-authors of Hongbin Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Hongbin Dong. A scholar is included among the top collaborators of Hongbin Dong 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 Hongbin Dong. Hongbin Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 37 | |
| 14 | Mixed Strategy May Outperform Pure Strategy | 1 |
| 15 | 21 | |
| 16 | 29 | |
| 17 | Study of preparation of matrin nanoemulsion and its anti-oxidation on mice | 4 |
| 18 | Fuzzy kNN Text Classifier Based on Gini Index | 3 |
| 19 | 45 | |
| 20 | 54 |
About Hongbin Dong
Hongbin Dong is a scholar working on Artificial Intelligence, Computer Science Applications and Media Technology, having authored 119 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (16 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). The work is most often cited by research in Artificial Intelligence (493 citations), Computational Theory and Mathematics (226 citations) and Pharmacology (122 citations). Hongbin Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Vasilis Vasiliou, Daniel W. Nebert, Rui Ding, David C. Thompson, Howard G. Shertzer, Ying Chen, Jun He, Shuang Han, Guisheng Yin and Qiang Fu. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.