Xin Gao

1.6k citations
94 papers · 1.1k indexed · h-index 16
Topics
Statistical Methods and Bayesian Inference (16 papers)Statistical Methods and Inference (13 papers)Gene expression and cancer classification (10 papers)
Partner nations
CanadaChinaUnited States

In The Last Decade

Xin Gao

86 papers receiving 1.0k citations

Peers

Xin Gao
Comparison fields: 5 of 162
  • Artificial Intelligence 219
  • Statistics and Probability 174
  • Health Information Management 171
  • Molecular Biology 156
  • Health, Toxicology and Mutagenesis 74
Replace Barbara Di Camillo with:
Barbara Di Camillo Italy
Sounak Chakraborty United States
Qingsong Xu China
Woojoo Lee South Korea
Nathaniel A. Woody United States
Ljubomir Buturović United States
Iván Olier United Kingdom
Zhaoyi Chen United States
Matthew L Barker United States
Raquel Rodríguez-Pérez Switzerland
Xin Gao relative to Barbara Di Camillo Italy Barbara Di Camillo's profile →
Citations per field
00.5×3.3×
Barbara Di Camillo · 1×
Citations per year

Countries citing papers authored by Xin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Gao. A scholar is included among the top collaborators of Xin Gao 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 Xin Gao. Xin Gao 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 0
2 0
3 8
4 1
5 4
6 1
7 0
8 14
9 2
10 21
11 3
12 20
13 3
14
Research on evaluation methods for riverine aquatic ecological security.
2
15
Assessment of riverine ecological security for Taizi River Basin based on PSFR evaluation framework.
2
16 1
17 13
18
Effects of Alginate on Rheological Properties of Mayonnaise
1
19
Notes on Syrphidae from Liaoning Province (Diptera:Syrphidae)
1
20
Study on Incubation and Parental Care Behavior of Grey Heron
1

About Xin Gao

Xin Gao is a scholar working on Statistics and Probability, Management Science and Operations Research and Analytical Chemistry, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (16 papers), Statistical Methods and Inference (13 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Health Information Management (171 citations), Statistics and Probability (174 citations) and Artificial Intelligence (219 citations). Xin Gao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Peter X.‐K. Song, Huaxiong Huang, Karim Keshavjee, Hang Lai, Mayer Alvo, Aziz Guergachi, Gang Li, Jie Chen, Raymond J. Carroll and Dong Ye. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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