Yongbin Liu

482 citations
35 papers · 266 indexed · h-index 10
Topics
Topic Modeling (22 papers)Natural Language Processing Techniques (14 papers)Advanced Text Analysis Techniques (6 papers)

In The Last Decade

Yongbin Liu

31 papers receiving 261 citations

Peers

Yongbin Liu
Comparison fields: 5 of 64
  • Artificial Intelligence 203
  • Molecular Biology 40
  • Computer Vision and Pattern Recognition 31
  • Management Science and Operations Research 29
  • Information Systems 23
Replace Matthias Broecheler with:
Matthias Broecheler United States
Shulin Liu China
Łukasz Bolikowski Poland
Giovanni Zappella Italy
Kathryn Mazaitis United States
Arun Tejasvi Chaganty United States
Qitian Wu China
Zhaocheng Zhu China
Juan Cigarrán Spain
Qian Xiao China
Yongbin Liu relative to Matthias Broecheler United States Matthias Broecheler's profile →
Citations per field
00.5×10×20×31×
Matthias Broecheler · 1×
Citations per year

Countries citing papers authored by Yongbin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yongbin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongbin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongbin Liu. A scholar is included among the top collaborators of Yongbin 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 Yongbin Liu. Yongbin Liu 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 9
2 0
3 3
4 9
5 4
6 12
7 5
8 1
9 2
10 14
11 7
12 16
13 19
14 4
15 2
16 0
17 7
18 11
19 3
20
XLore: a large-scale English-Chinese Bilingual knowledge graph
39

About Yongbin Liu

Yongbin Liu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Health Information Management, having authored 35 papers that have together received 266 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (203 citations), Management Science and Operations Research (29 citations) and Computer Vision and Pattern Recognition (31 citations). Yongbin Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wen Wen, Juanzi Li, Qiang Lin, Yi Bu, Xiang‐Long Chen, Peng Zhang, Dongsheng Zhang, Mingyang Li, Zhichun Wang and Jie Tang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Environmental Research and Public Health.

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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