Weike Liu

644 citations
31 papers · 459 · h-index 11

Impact in

    • Data Stream Mining Techniques
    • Anomaly Detection Techniques and Applications
    • Imbalanced Data Classification Techniques
    • Machine Learning and Data Classification
    • Metaheuristic Optimization Algorithms Research
    • Time Series Analysis and Forecasting

Papers in

Weike Liu

29 papers receiving 454 citations

Peers

Weike Liu
Comparison fields: 5 of 91
  • Artificial Intelligence 285
  • Signal Processing 49
  • Computer Networks and Communications 67
  • Management Science and Operations Research 26
  • Control and Systems Engineering 29
Replace Helga Van Herle with:
Helga Van Herle United States
Ayça Deniz Türkiye
Parul Goyal India
Mehmet R. Tolun Türkiye
Mong‐Fong Horng Taiwan
Nebojša Budimirović Serbia
Rixin Xu China
Husheng Guo China
Rajit Nair India
Stefano Lodi Italy
Weike Liu relative to Helga Van Herle United States Helga Van Herle's profile →
Citations per field
00.5×10×14.4×
Helga Van Herle · 1×
Citations per year

Countries citing papers authored by Weike Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weike Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weike Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weike Liu Line = papers co-authored together Weike Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202182
2 201882
3 202136
4 202236
5 201931
6 202227
7 202025
8 201825
9 202217
10 202212
11 202011
12 202210
13 20249
14 20239
15 20248
16 20236
17 20196
18 20254
19 20254
20
Research of Strategy for Intelligent Test Paper Construction System
20103

About Weike Liu

Weike Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Physiology and Management Science and Operations Research, having authored 31 papers that have together received 459 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (8 papers), Machine Learning and Data Classification (5 papers), Nutrition and Health in Aging (3 papers), Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Sodium Intake and Health (2 papers), Advanced Measurement and Detection Methods (2 papers) and Sensor Technology and Measurement Systems (2 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Signal Processing (49 citations), Computer Networks and Communications (67 citations), Management Science and Operations Research (26 citations) and Control and Systems Engineering (29 citations). Weike Liu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Hang Zhang, Qingbao Liu, Zhaoyun Ding, Cheng Zhu, Zhendong Liu, Xiaofeng Yang, Cheng Zhu, Shuo Wang, Yuechun Li and Zhile Yang. Their work appears in journals such as Cardiovascular Diabetology, Knowledge-Based Systems, IEEE Access, Journal of the American Medical Directors Association and Clinical and Experimental Hypertension.

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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