Yingtao Bi

2.5k citations
41 papers · 1.3k indexed · h-index 20
Topics
Glioma Diagnosis and Treatment (7 papers)RNA Research and Splicing (7 papers)Gene expression and cancer classification (5 papers)
Journals
Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Yingtao Bi

39 papers receiving 1.3k citations

Peers

Yingtao Bi
Comparison fields: 5 of 118
  • Molecular Biology 626
  • Genetics 260
  • Oncology 211
  • Radiology, Nuclear Medicine and Imaging 206
  • Cancer Research 203
Replace Delphine Loussouarn with:
Delphine Loussouarn France
Friedrich Feuerhake Germany
Michael Bockmayr Germany
Panu E. Kovanen Finland
Akanksha Verma United States
Julhash U. Kazi Sweden
Qianghu Wang China
Jeffrey Lin United States
Simon J. Furney Ireland
Dorina Gui United States
Yingtao Bi relative to Delphine Loussouarn France Delphine Loussouarn's profile →
Citations per field
00.5×1.7×
Delphine Loussouarn · 1×
Citations per year

Countries citing papers authored by Yingtao Bi

Since Specialization
Citations

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

Fields of papers citing papers by Yingtao Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingtao Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Yingtao Bi. A scholar is included among the top collaborators of Yingtao Bi 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 Yingtao Bi. Yingtao Bi 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 2
2 0
3 1
4 1
5 22
6 91
7 61
8 13
9 138
10 5
11 25
12 4
13 39
14 30
15
An innovative two-stage fuzzy kNN-DST classifier for unknown intrusion detection
4
16 20
17 24
18 36
19 22
20 19

About Yingtao Bi

Yingtao Bi is a scholar working on Cancer Research, Genetics and Dermatology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), RNA Research and Splicing (7 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Genetics (260 citations), Cancer Research (203 citations) and Dermatology (99 citations). Yingtao Bi has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Ramana V. Davuluri, Sharmistha Pal, Donald M. O’Rourke, María Martínez-Lage, Nadia Dahmane, Luke Macyszyn, Yu Tian, Liang Jin, Chenqi Hu and Julia Tchou. Their work appears in journals such as Nucleic Acids Research, Nature Communications 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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