Wen‐Wei Liao

3.3k citations
23 papers · 656 indexed · h-index 11
Topics
Online Learning and Analytics (3 papers)Epigenetics and DNA Methylation (3 papers)RNA modifications and cancer (3 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Wen‐Wei Liao

21 papers receiving 645 citations

Peers

Wen‐Wei Liao
Comparison fields: 5 of 99
  • Molecular Biology 439
  • Plant Science 132
  • Genetics 126
  • Pediatrics, Perinatology and Child Health 81
  • Public Health, Environmental and Occupational Health 58
Replace James P. Reddington with:
James P. Reddington United Kingdom
Thomas Carroll United Kingdom
Richard D. Kelly United Kingdom
Naisha Shah United States
Xiangqun Zheng-Bradley United Kingdom
Anthony Liekens Belgium
Matthew Thompson Australia
Shihong Mao United States
Soichi Ogishima Japan
George C. Tseng United States
Wen‐Wei Liao relative to James P. Reddington United Kingdom James P. Reddington's profile →
Citations per field
00.5×2.8×
James P. Reddington · 1×
Citations per year

Countries citing papers authored by Wen‐Wei Liao

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Wei Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Wei Liao. 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 Wen‐Wei Liao. The network helps show where Wen‐Wei Liao may publish in the future.

Co-authorship network of co-authors of Wen‐Wei Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Wei Liao. A scholar is included among the top collaborators of Wen‐Wei Liao 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 Wen‐Wei Liao. Wen‐Wei Liao 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
#WorkIndexed citations
1 2
2 2
3 11
4 4
5 19
6 5
7 3
8 143
9 8
10 40
11 254
12 32
13 24
14 21
15 2
16 10
17
Reducing the Impact of Inappropriate Items on Reviewable Computerized Adaptive Testing
6
18
Establishing an lifelong learning environment using IOT and learning analytics
23
19 0
20 37

About Wen‐Wei Liao

Wen‐Wei Liao is a scholar working on Computer Science Applications, Transplantation and Atmospheric Science, having authored 23 papers that have together received 656 indexed citations. Recurring topics across this work include Online Learning and Analytics (3 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (439 citations), Genetics (126 citations) and Pediatrics, Perinatology and Child Health (81 citations). Wen‐Wei Liao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Pao‐Yang Chen, Amander T. Clark, Sofia Gkountela, Kelvin X. Zhang, Molly Hammell, Josh Dubnau, Delphine Theodorou, Rebeca Borges-Monroy, Kathleen M. Morrill and Lisa Krug. Their work appears in journals such as Cell, Water Research and Genetics.

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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