Yufan Guo

2.3k total citations
84 papers, 1.5k citations indexed

About

Yufan Guo is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Yufan Guo has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Artificial Intelligence and 9 papers in Cancer Research. Recurrent topics in Yufan Guo's work include Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (14 papers) and Natural Language Processing Techniques (7 papers). Yufan Guo is often cited by papers focused on Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (14 papers) and Natural Language Processing Techniques (7 papers). Yufan Guo collaborates with scholars based in China, United Kingdom and Sweden. Yufan Guo's co-authors include Anna Korhonen, Ulla Stenius, Ilona Silins, Wang‐jin Lu, Jianye Chen, Jian‐fei Kuang, Wei Shan, Simon Baker, Johan Högberg and Chaojie Wu and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yufan Guo

76 papers receiving 1.4k citations

Peers

Yufan Guo
Comparison fields: 5 of 153
  • Molecular Biology 749
  • Plant Science 303
  • Artificial Intelligence 300
  • Cancer Research 145
  • Rheumatology 126
Replace Xinyue Liu with:
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Juan Liu China
Cosmin Lazar Belgium
Gang Feng China
Sheng‐Tang Wu Taiwan
Chun-Chi Liu Taiwan
Martijn van Iersel Netherlands
Xiaomei Li China
Qinqin Zhang China
Xinyue Liu China View profile →
Citations per field, relative to Yufan Guo
Yufan Guo · 1×
Citations per year, relative to Yufan Guo
Yufan Guo · 1×

Countries citing papers authored by Yufan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yufan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yufan Guo. A scholar is included among the top collaborators of Yufan Guo 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 Yufan Guo. Yufan Guo 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
# Work Indexed citations
1 1
2 1
3 1
4 2
5 5
6 2
7 54
8 10
9 6
10 21
11 7
12 19
13 9
14 87
15
Native Language Identification Using Large, Longitudinal Data
2
16
CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment
8
17
Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints
8
18
CRAB Reader: A Tool for Analysis and Visualization of Argumentative Zones in Scientific Literature
6
19
Using Argumentative Zones for Extractive Summarization of Scientific Articles
25
20 18

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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