Hoi-To Wai

1.9k total citations
74 papers, 1.1k citations indexed

About

Hoi-To Wai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Hoi-To Wai has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 23 papers in Statistical and Nonlinear Physics. Recurrent topics in Hoi-To Wai's work include Complex Network Analysis Techniques (22 papers), Stochastic Gradient Optimization Techniques (19 papers) and Sparse and Compressive Sensing Techniques (18 papers). Hoi-To Wai is often cited by papers focused on Complex Network Analysis Techniques (22 papers), Stochastic Gradient Optimization Techniques (19 papers) and Sparse and Compressive Sensing Techniques (18 papers). Hoi-To Wai collaborates with scholars based in Hong Kong, United States and China. Hoi-To Wai's co-authors include Anna Scaglione, Wing‐Kin Ma, Mahnoosh Alizadeh, Andrea Goldsmith, Mingyi Hong, Tara Javidi, Qiang Li, Sissi Xiaoxiao Wu, Mainak Chowdhury and Ya‐Feng Liu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Signal Processing.

In The Last Decade

Hoi-To Wai

67 papers receiving 1.0k citations

Peers

Hoi-To Wai
Comparison fields: 5 of 89
  • Electrical and Electronic Engineering 533
  • Artificial Intelligence 294
  • Computer Networks and Communications 293
  • Automotive Engineering 222
  • Statistical and Nonlinear Physics 142
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Citations per field, relative to Hoi-To Wai
Hoi-To Wai · 1×
Citations per year, relative to Hoi-To Wai
Hoi-To Wai · 1×

Countries citing papers authored by Hoi-To Wai

Since Specialization
Citations

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

Fields of papers citing papers by Hoi-To Wai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hoi-To Wai. 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 Hoi-To Wai. The network helps show where Hoi-To Wai may publish in the future.

Co-authorship network of co-authors of Hoi-To Wai

This figure shows the co-authorship network connecting the top 25 collaborators of Hoi-To Wai. A scholar is included among the top collaborators of Hoi-To Wai 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 Hoi-To Wai. Hoi-To Wai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 29
5 2
6 0
7 2
8
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.
1
9
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
3
10 1
11
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.
2
12 5
13 51
14
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
55
15
Decentralized Projection-free Optimization for Convex and Non-convex Problems.
1
16 7
17 7
18 6
19 176
20 4

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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