Di Niu

4.2k total citations · 2 hit papers
93 papers, 2.6k citations indexed

About

Di Niu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Di Niu has authored 93 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 35 papers in Artificial Intelligence and 28 papers in Information Systems. Recurrent topics in Di Niu's work include Caching and Content Delivery (27 papers), Peer-to-Peer Network Technologies (16 papers) and Cloud Computing and Resource Management (15 papers). Di Niu is often cited by papers focused on Caching and Content Delivery (27 papers), Peer-to-Peer Network Technologies (16 papers) and Cloud Computing and Resource Management (15 papers). Di Niu collaborates with scholars based in Canada, China and Hong Kong. Di Niu's co-authors include Baochun Li, Hao Wang, Shuqiao Zhao, Chen Feng, Yaochen Hu, Bo Li, Peng Shu, Hai Jin, Jie Yu and Fangming Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Nature Structural & Molecular Biology.

In The Last Decade

Di Niu

85 papers receiving 2.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

2020 651 citations Hao Wang, Di Niu et al. profile →
Effects of abiotic stress on chlorophyll metabolism

2024 56 citations Di Niu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Di Niu Canada	23	1.4k	1.1k	821	375	345	93	2.6k
Dongxiao Yu China	27	1.5k 1.1×	838 0.8×	518 0.6×	712 1.9×	355 1.0×	230	2.7k
Jiangang Shu China	21	623 0.5×	1.4k 1.3×	873 1.1×	280 0.7×	275 0.8×	41	2.1k
Deke Guo China	28	2.0k 1.5×	658 0.6×	950 1.2×	654 1.7×	342 1.0×	259	3.1k
Youliang Tian China	26	1.0k 0.8×	1.1k 1.1×	1.1k 1.3×	283 0.8×	320 0.9×	144	2.3k
Vana Kalogeraki Greece	25	2.2k 1.6×	529 0.5×	753 0.9×	237 0.6×	220 0.6×	185	2.8k
Zhitao Guan China	24	1.1k 0.8×	1.0k 1.0×	1.2k 1.5×	726 1.9×	189 0.5×	90	2.5k
Chunqiang Hu China	24	1.1k 0.8×	1.0k 0.9×	942 1.1×	398 1.1×	259 0.8×	113	2.2k
Hongli Xu China	30	1.9k 1.4×	1.5k 1.4×	615 0.7×	824 2.2×	180 0.5×	272	3.3k
Lingjuan Lyu China	26	748 0.5×	2.6k 2.4×	844 1.0×	356 0.9×	279 0.8×	92	3.3k
Yueshen Xu China	25	1.0k 0.7×	665 0.6×	907 1.1×	368 1.0×	383 1.1×	72	2.2k

Countries citing papers authored by Di Niu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Xie, Tao, et al.. (2025). DGT: Unbiased sequential recommendation via Disentangled Graph Transformer. Knowledge-Based Systems. 310. 112946–112946. 1 indexed citations

2.

Salameh, Mohammad, et al.. (2024). Building Optimal Neural Architectures Using Interpretable Knowledge. 5726–5735. 1 indexed citations

3.

Zhang, Jialin, et al.. (2023). GENNAPE: Towards Generalized Neural Architecture Performance Estimators. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9190–9199. 4 indexed citations

4.

Niu, Di, et al.. (2023). Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. 2980–2989. 1 indexed citations

5.

Guo, Weidong, et al.. (2022). MatRank: Text Re-ranking by Latent Preference Matrix. 2011–2023.

6.

Peng, Li‐Yan, et al.. (2022). A Double Intranasal Approach to Treat Cholesteatoma of the Maxillary Sinus: A Report of Two Cases and a Literature Review. SHILAP Revista de lepidopterología. 19(1). 59–63.

7.

Niu, Di, et al.. (2022). Metabonomic analysis of cerebrospinal fluid in epilepsy. Annals of Translational Medicine. 10(8). 449–449. 8 indexed citations

8.

Salameh, Mohammad, et al.. (2020). Neural Architecture Search for Keyword Spotting. arXiv (Cornell University). 1982–1986. 30 indexed citations

9.

Wang, Hao, et al.. (2020). Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. 1698–1707. 651 indexed citations breakdown →

10.

Niu, Di, et al.. (2019). Android Malware Detection Based on Factorization Machine. IEEE Access. 7. 184008–184019. 48 indexed citations

11.

Liu, Bang, et al.. (2018). Matching Long Text Documents via Graph Convolutional Networks. arXiv (Cornell University). 12 indexed citations

12.

Li, Wenxin, et al.. (2018). Wide-Area Spark Streaming: Automated Routing and Batch Sizing. IEEE Transactions on Parallel and Distributed Systems. 30(6). 1434–1448. 10 indexed citations

13.

Kong, Linglong, et al.. (2017). cqrReg: An R Package for Quantile and Composite Quantile Regression and Variable Selection. arXiv (Cornell University). 1 indexed citations

14.

Liu, Fangming, et al.. (2017). Cocoa. 2(2). 1–31. 14 indexed citations

15.

Liu, Bang, et al.. (2016). Network Latency Estimation for Personal Devices: A Matrix Completion Approach. IEEE/ACM Transactions on Networking. 25(2). 724–737. 49 indexed citations

16.

Wang, Wei, Di Niu, Baochun Li, & Ben Liang. (2013). Dynamic Cloud Resource Reservation via Cloud Brokerage. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 400–409. 76 indexed citations

17.

Jiang, Lei, et al.. (2011). Experiment Study on the Frost Resistance of Steel Fiber Reinforced Concrete on the Microstructure. Advanced materials research. 368-373. 357–360. 4 indexed citations

18.

Niu, Di & Baochun Li. (2011). Analyzing the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks. IEEE Transactions on Parallel and Distributed Systems. 22(11). 1842–1850. 10 indexed citations

19.

Niu, Di & Baochun Li. (2010). Topological Properties Affect the Power of Network Coding in Decentralized Broadcast. 1–9. 4 indexed citations

20.

Liu, Fangming, et al.. (2009). How P2P streaming systems scale over time under a flash crowd. 5–5. 14 indexed citations

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.

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