Donghai Guan
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Weiwei YuanYoung-Koo LeeSungyoung LeeGuangjie HanTinghuai MaChenliang LiAsad Masood KhattakА. В. Гаврилов
- Topics
- Advanced Graph Neural Networks (24 papers)Complex Network Analysis Techniques (18 papers)Imbalanced Data Classification Techniques (14 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaSouth KoreaUnited Arab Emirates
In The Last Decade
Donghai Guan
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 523
- Computer Vision and Pattern Recognition 389
- Information Systems 236
- Computer Networks and Communications 220
- Statistical and Nonlinear Physics 103
Countries citing papers authored by Donghai Guan
This map shows the geographic impact of Donghai Guan'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 Donghai Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghai Guan more than expected).
Fields of papers citing papers by Donghai Guan
This network shows the impact of papers produced by Donghai Guan. 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 Donghai Guan. The network helps show where Donghai Guan may publish in the future.
Co-authorship network of co-authors of Donghai Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Donghai Guan. A scholar is included among the top collaborators of Donghai Guan 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 Donghai Guan. Donghai Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 60 | |
| 8 | 10 | |
| 9 | 20 | |
| 10 | 26 | |
| 11 | A Novel Density-Based Outlier Detection Approach for Low Density Datasets | 1 |
| 12 | 6 | |
| 13 | 49 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 18 | |
| 17 | 29 | |
| 18 | 5 | |
| 19 | A Novel Hybrid Neural Network for Data Clustering. | 1 |
| 20 | 15 |
About Donghai Guan
Donghai Guan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (24 papers), Complex Network Analysis Techniques (18 papers) and Imbalanced Data Classification Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Artificial Intelligence (523 citations) and Information Systems (236 citations). Donghai Guan has collaborated with scholars based in China, South Korea and United Arab Emirates. Frequent co-authors include Weiwei Yuan, Young-Koo Lee, Sungyoung Lee, Guangjie Han, Tinghuai Ma, Chenliang Li, Asad Masood Khattak, А. В. Гаврилов, Sungyoung Lee and L. P. Zhou. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.
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.