Tieyan Liu

1.0k citations
17 papers · 486 indexed · h-index 11
Topics
Advanced Vision and Imaging (5 papers)Chromosomal and Genetic Variations (5 papers)Video Analysis and Summarization (5 papers)

In The Last Decade

Tieyan Liu

17 papers receiving 453 citations

Peers

Tieyan Liu
Comparison fields: 5 of 50
  • Plant Science 221
  • Molecular Biology 195
  • Computer Vision and Pattern Recognition 164
  • Signal Processing 104
  • Artificial Intelligence 69
Replace Henry J. Beker with:
Henry J. Beker United Kingdom
Ranjan Sinha Australia
Juan Wen China
Travis Gagie Chile
Christopher Mueller United States
Chien‐Kang Huang Taiwan
Chen Sun China
Haoliang Qi China
Ioannis Karydis Greece
Vid Podpečan Slovenia
Tieyan Liu relative to Henry J. Beker United Kingdom Henry J. Beker's profile →
Citations per field
00.5×3.9×
Henry J. Beker · 1×
Citations per year

Countries citing papers authored by Tieyan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tieyan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tieyan Liu

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 14
2 16
3 2
4 13
5
Global Ranking of Documents Using Continuous Conditional Random Fields
4
6 71
7
Learning to Search Web Pages with Query-Level Loss Functions
14
8 178
9 8
10
Evidence for an ancient whole-genome duplication event in rice and other cereals.
30
11 50
12 46
13 13
14 1
15 1
16 17
17 8

About Tieyan Liu

Tieyan Liu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 17 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Chromosomal and Genetic Variations (5 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Signal Processing (104 citations), Computer Vision and Pattern Recognition (164 citations) and Plant Science (221 citations). Tieyan Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xudong Zhang, Mingsheng Chen, Shouhong Sun, Yuqing Xiong, Chaoguang Tian, Jian Feng, Jiayang Li, Kwok‐Tung Lo, Tao Qin and Hang Li. Their work appears in journals such as PLoS ONE, The Plant Cell and New Phytologist.

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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