Fang‐Xiang Wu

17.2k citations
443 papers · 12.2k indexed · 2 hit papers · h-index 59
Topics
Bioinformatics and Genomic Networks (171 papers)Machine Learning in Bioinformatics (98 papers)Gene expression and cancer classification (86 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
CanadaChinaUnited States

In The Last Decade

Fang‐Xiang Wu

426 papers receiving 11.9k citations

Hit Papers

CytoNCA: A cytoscape plugin for centrality analysis and e...201420262018202220142016250500750

Peers

Fang‐Xiang Wu
Comparison fields: 5 of 202
  • Molecular Biology 8.0k
  • Computational Theory and Mathematics 2.6k
  • Cancer Research 2.2k
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 878
Replace Jianxin Wang with:
Jianxin Wang China
Yi Pan United States
Min Li China
Quan Zou China
Yvan Saeys Belgium
Olga G. Troyanskaya United States
Zhongming Zhao United States
De-Shuang Huang China
Xin Gao Saudi Arabia
Xiangxiang Zeng China
Fang‐Xiang Wu relative to Jianxin Wang China Jianxin Wang's profile →
Citations per field
00.5×1.5×
Jianxin Wang · 1×
Citations per year

Countries citing papers authored by Fang‐Xiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Xiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐Xiang Wu. 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 Fang‐Xiang Wu. The network helps show where Fang‐Xiang Wu may publish in the future.

Co-authorship network of co-authors of Fang‐Xiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐Xiang Wu. A scholar is included among the top collaborators of Fang‐Xiang Wu 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 Fang‐Xiang Wu. Fang‐Xiang Wu 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 7
2 2
3 5
4 2
5 1
6 7
7 5
8 10
9 3
10 2
11 10
12 11
13 65
14 32
15 4
16 9
17 9
18 13
19 7
20 3

About Fang‐Xiang Wu

Fang‐Xiang Wu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research, having authored 443 papers that have together received 12.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (171 papers), Machine Learning in Bioinformatics (98 papers) and Gene expression and cancer classification (86 papers). The work is most often cited by research in Computational Theory and Mathematics (2.6k citations), Cancer Research (2.2k citations) and Molecular Biology (8.0k citations). Fang‐Xiang Wu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jianxin Wang, Yi Pan, Min Li, Xiujuan Lei, Yaohang Li, Yu Tang, Jin Liu, Wenjun Zhang, Min Zeng and Wei Lan. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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