Kwei-Herng Lai

938 citations
14 papers · 296 indexed · 1 hit paper · h-index 9
Topics
Anomaly Detection Techniques and Applications (5 papers)Machine Learning and Data Classification (4 papers)Advanced Graph Neural Networks (4 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Kwei-Herng Lai

13 papers receiving 286 citations

Hit Papers

Data-centric Artificial Intelligence: A Survey202520262025102030

Peers

Kwei-Herng Lai
Comparison fields: 5 of 63
  • Artificial Intelligence 228
  • Computer Networks and Communications 65
  • Computer Vision and Pattern Recognition 51
  • Signal Processing 50
  • Electrical and Electronic Engineering 31
Replace Syed Muhammad Saqlain with:
Syed Muhammad Saqlain Pakistan
Jiahao Liu China
Minhao Cheng United States
Augusto Júnio Guimarães Brazil
Dianhui Chu China
Lanxiao Huang United States
Borja Balle United Kingdom
Yuta Tsuboi Japan
Sathiya Keerthi United States
Valentina Poggioni Italy
Kwei-Herng Lai relative to Syed Muhammad Saqlain Pakistan Syed Muhammad Saqlain's profile →
Citations per field
00.5×2.6×
Syed Muhammad Saqlain · 1×
Citations per year

Countries citing papers authored by Kwei-Herng Lai

Since Specialization
Citations

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

Fields of papers citing papers by Kwei-Herng Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwei-Herng Lai. 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 Kwei-Herng Lai. The network helps show where Kwei-Herng Lai may publish in the future.

Co-authorship network of co-authors of Kwei-Herng Lai

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1
Data-centric Artificial Intelligence: A Surveybreakdown →
35
2 0
3 10
4 2
5 6
6 4
7 9
8
Revisiting Time Series Outlier Detection: Definitions and Benchmarks
39
9 31
10 53
11 34
12 19
13 51
14 3

About Kwei-Herng Lai

Kwei-Herng Lai is a scholar working on Health Informatics, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 296 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Machine Learning and Data Classification (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Artificial Intelligence (228 citations), Signal Processing (50 citations) and Health Informatics (4 citations). Kwei-Herng Lai has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Xia Hu, Daochen Zha, Kaixiong Zhou, Junjie Xu, Yue Zhao, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Na Zou and Yile Chen. Their work appears in journals such as ACM Computing Surveys, ACM Transactions on Knowledge Discovery from Data and PubMed.

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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