Di Chai

582 total citations
8 papers, 120 citations indexed

About

Di Chai is a scholar working on Artificial Intelligence, Transportation and Building and Construction. According to data from OpenAlex, Di Chai has authored 8 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Transportation and 2 papers in Building and Construction. Recurrent topics in Di Chai's work include Privacy-Preserving Technologies in Data (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Cryptography and Data Security (2 papers). Di Chai is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Cryptography and Data Security (2 papers). Di Chai collaborates with scholars based in Hong Kong, China and Australia. Di Chai's co-authors include Kai Chen, Leye Wang, Qiang Yang, Junxue Zhang, Yang Liu, Jia Zheng, Quan Zou, Fuyi Li, Cangzhi Jia and Xuanzhe Liu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Molecular Therapy — Nucleic Acids and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Di Chai

7 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di Chai Hong Kong	7	61	24	22	18	17	8	120
Mingqiang Xue Singapore	7	36 0.6×	6 0.3×	21 1.0×	14 0.8×	58 3.4×	14	130
Catherine Roussey France	7	62 1.0×	19 0.8×	13 0.6×	13 0.7×	3 0.2×	22	145
Wentao Zhang China	6	120 2.0×	32 1.3×	12 0.5×	4 0.2×	3 0.2×	26	147
Régis Pires Magalhães Brazil	6	39 0.6×	18 0.8×	2 0.1×	15 0.8×	13 0.8×	31	113
Theodore Patkos Greece	6	98 1.6×	18 0.8×	7 0.3×	5 0.3×	2 0.1×	23	135
Leonard Lausen United States	3	61 1.0×	7 0.3×	6 0.3×	5 0.3×	6 0.4×	5	127
Shijie Wang China	4	92 1.5×	45 1.9×	7 0.3×	4 0.2×	2 0.1×	8	159
Ali Caner Türkmen Türkiye	6	45 0.7×	10 0.4×	9 0.4×	9 0.5×	2 0.1×	9	132
Uthayasanker Thayasivam Sri Lanka	8	159 2.6×	22 0.9×	9 0.4×	18 1.0×	14 0.8×	44	202
Zhiping Xiao United States	6	39 0.6×	16 0.7×	11 0.5×	3 0.2×	3 0.2×	15	95

Countries citing papers authored by Di Chai

Since Specialization

Citations

This map shows the geographic impact of Di Chai'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 Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Chai more than expected).

Fields of papers citing papers by Di Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Di Chai. 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 Chai. The network helps show where Di Chai may publish in the future.

Co-authorship network of co-authors of Di Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Di Chai. A scholar is included among the top collaborators of Di Chai 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 Chai. Di Chai 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:

8 of 8 papers shown

1.

Chai, Di, Leye Wang, Yang Liu, et al.. (2024). A Survey for Federated Learning Evaluations: Goals and Measures. IEEE Transactions on Knowledge and Data Engineering. 36(10). 5007–5024. 18 indexed citations

2.

Chai, Di, et al.. (2024). UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services. 54–65.

3.

Han, Tian, et al.. (2022). Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2487–2501. 19 indexed citations

4.

Chai, Di, Leye Wang, Junxue Zhang, et al.. (2022). Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 46–55. 19 indexed citations

5.

Chai, Di, Leye Wang, Kai Chen, & Qiang Yang. (2022). Efficient Federated Matrix Factorization Against Inference Attacks. ACM Transactions on Intelligent Systems and Technology. 13(4). 1–20. 14 indexed citations

6.

Chai, Di, Cangzhi Jia, Jia Zheng, Quan Zou, & Fuyi Li. (2021). Staem5: A novel computational approach for accurate prediction of m5C site. Molecular Therapy — Nucleic Acids. 26. 1027–1034. 23 indexed citations

7.

Wang, Leye, et al.. (2021). Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework. IEEE Transactions on Knowledge and Data Engineering. 35(4). 3870–3884. 21 indexed citations

8.

Wang, Wendong, Di Chai, & Xiaoli Li. (2020). Study of Fracturing Fluid Imbibition Impact on Gas-Water Two Phase Flow in Shale Fracture-Matrix System. Proceedings of the 8th Unconventional Resources Technology Conference. 6 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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