Boxin Du
Impact in
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
- Bayesian Modeling and Causal Inference
Papers in
-
- Advanced Graph Neural Networks 14
- Topic Modeling 5
- Natural Language Processing Techniques 2
-
- Complex Network Analysis Techniques 8
- Co-authors
- Hanghang Tong (16 shared papers)Lihui Liu (6 shared papers)Jiejun Xu (4 shared papers)Si Zhang (3 shared papers)Nan Cao (1 shared paper)Yu Shen (3 shared papers)Heng Ji (2 shared papers)Yinglong Xia (2 shared papers)
- Journals
- RSC Advances (1 paper)Optics and Lasers in Engineering (1 paper)IEEE Access (1 paper)Journal of Central South University (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Boxin Du
19 papers receiving 310 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 5
- Artificial Intelligence 228
- Statistical and Nonlinear Physics 67
- Computer Vision and Pattern Recognition 73
- Water Science and Technology 32
Countries citing papers authored by Boxin Du
This map shows the geographic impact of Boxin Du'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 Boxin Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxin Du more than expected).
Fields of papers citing papers by Boxin Du
This network shows the impact of papers produced by Boxin Du. 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 Boxin Du. The network helps show where Boxin Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Boxin Du, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 53 | |
| 2 | 2017 | 42 | |
| 3 | 2021 | 31 | |
| 4 | 2022 | 31 | |
| 5 | 2018 | 27 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 0 |
About Boxin Du
Boxin Du is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Mathematics, having authored 21 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (14 papers), Complex Network Analysis Techniques (8 papers), Graph Theory and Algorithms (7 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (2 papers), Green IT and Sustainability (1 paper), Network Packet Processing and Optimization (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computational Mathematics (5 citations), Artificial Intelligence (228 citations), Statistical and Nonlinear Physics (67 citations), Computer Vision and Pattern Recognition (73 citations) and Water Science and Technology (32 citations). Boxin Du has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hanghang Tong, Lihui Liu, Jiejun Xu, Si Zhang, Nan Cao, Yu Shen, Heng Ji, Yinglong Xia, Xu Gao and Jianhui Wang. Their work appears in journals such as RSC Advances, Optics and Lasers in Engineering, IEEE Access, Journal of Central South University and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.