Tian Bai

430 total citations
47 papers, 277 citations indexed

About

Tian Bai is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tian Bai has authored 47 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Molecular Biology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tian Bai's work include Biomedical Text Mining and Ontologies (10 papers), Bioinformatics and Genomic Networks (8 papers) and Topic Modeling (4 papers). Tian Bai is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Bioinformatics and Genomic Networks (8 papers) and Topic Modeling (4 papers). Tian Bai collaborates with scholars based in China, United States and Iran. Tian Bai's co-authors include Lan Huang, Ye Wang, Shuyu Guo, Tong Li, Leiguang Gong, Rongze Sun, Zhe Wang, Yan Wang, Ziwei Li and Shang Wang and has published in prestigious journals such as Nature Communications, Bioinformatics and Expert Systems with Applications.

In The Last Decade

Tian Bai

44 papers receiving 271 citations

Peers

Tian Bai
Comparison fields: 5 of 82
  • Molecular Biology 99
  • Artificial Intelligence 97
  • Computer Vision and Pattern Recognition 50
  • Biomedical Engineering 39
  • Radiology, Nuclear Medicine and Imaging 28
Replace Achille Zappa with:
Achille Zappa Ireland
Tapas Bhadra India
Haixia Long China
Zerrin Işık Türkiye
Xianjun Shen China
Qing Du China
Wenyu Jiang Canada
Di He China
Achille Zappa Ireland View profile →
Citations per field, relative to Tian Bai
Tian Bai · 1×
Citations per year, relative to Tian Bai
Tian Bai · 1×

Countries citing papers authored by Tian Bai

Since Specialization
Citations

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

Fields of papers citing papers by Tian Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Bai. A scholar is included among the top collaborators of Tian Bai 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 Tian Bai. Tian Bai 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 4
2 1
3 0
4 1
5 3
6 1
7 1
8 2
9 2
10 11
11 42
12 1
13 5
14 12
15 6
16 6
17 6
18 14
19 6
20
A Novel 1,2-Dihydroquinoline Anticancer Agent and Its Delivery to Tumor Cells Using Cationic Liposomes.
8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026