Di Niu
- Computer Networks and Communications top 1%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Baochun LiHao WangShuqiao ZhaoChen FengYaochen HuBo LiFangming LiuPeng Shu
- Topics
- Caching and Content Delivery (27 papers)Peer-to-Peer Network Technologies (16 papers)Cloud Computing and Resource Management (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the IEEENature Structural & Molecular Biology
In The Last Decade
Di Niu
85 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Networks and Communications 1.4k
- Artificial Intelligence 1.1k
- Information Systems 821
- Electrical and Electronic Engineering 375
- Computer Vision and Pattern Recognition 345
Countries citing papers authored by Di Niu
This map shows the geographic impact of Di Niu'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 Di Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Niu more than expected).
Fields of papers citing papers by Di Niu
This network shows the impact of papers produced by Di Niu. 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 Di Niu. The network helps show where Di Niu may publish in the future.
Co-authorship network of co-authors of Di Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Di Niu. A scholar is included among the top collaborators of Di Niu 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 Di Niu. Di Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Effects of abiotic stress on chlorophyll metabolismbreakdown → | 56 |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 56 | |
| 7 | 0 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | Optimizing Federated Learning on Non-IID Data with Reinforcement Learningbreakdown → | 651 |
| 13 | 30 | |
| 14 | 48 | |
| 15 | Matching Long Text Documents via Graph Convolutional Networks | 12 |
| 16 | cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection | 1 |
| 17 | 49 | |
| 18 | 76 | |
| 19 | 10 | |
| 20 | How P2P streaming systems scale over time under a flash crowd | 14 |
About Di Niu
Di Niu is a scholar working on Computer Networks and Communications, Computational Mathematics and Information Systems, having authored 93 papers that have together received 2.6k indexed citations. Recurring topics across this work include Caching and Content Delivery (27 papers), Peer-to-Peer Network Technologies (16 papers) and Cloud Computing and Resource Management (15 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Computational Mathematics (29 citations) and Information Systems (821 citations). Di Niu has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include Baochun Li, Hao Wang, Shuqiao Zhao, Chen Feng, Yaochen Hu, Bo Li, Fangming Liu, Peng Shu, Hai Jin and Jie Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Nature Structural & Molecular Biology.
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.