Yu Tian

2.0k citations
112 papers · 1.3k indexed · h-index 22
Topics
Machine Learning in Healthcare (21 papers)Artificial Intelligence in Healthcare (16 papers)AI in cancer detection (12 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryScientific Reports
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Yu Tian

101 papers receiving 1.3k citations

Peers

Yu Tian
Comparison fields: 5 of 164
  • Artificial Intelligence 335
  • Molecular Biology 293
  • Oncology 186
  • Radiology, Nuclear Medicine and Imaging 164
  • Health Information Management 158
Replace Hong‐Gee Kim with:
Hong‐Gee Kim South Korea
Ling Yuan China
Gaurav Pandey United States
Jake Luo United States
Themis P. Exarchos Greece
Petr Vaňhara Czechia
Jihoon Kim United States
Mehdi Totonchi Iran
Lucia Sacchi Italy
Tingting Jiang China
Yu Tian relative to Hong‐Gee Kim South Korea Hong‐Gee Kim's profile →
Citations per field
00.5×3.5×
Hong‐Gee Kim · 1×
Citations per year

Countries citing papers authored by Yu Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yu Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Tian. A scholar is included among the top collaborators of Yu Tian 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 Yu Tian. Yu Tian 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 1
2 12
3 0
4 1
5 10
6 0
7 1
8 1
9 4
10 1
11 3
12 5
13 7
14 12
15 10
16 5
17
A New Immunological Prognostic Model Based on Immunohistochemistry for Extranodal Natural Killer/T-Cell Lymphoma Patients After Non-Anthracycline-Based Chemotherapy
1
18 46
19 62
20 12

About Yu Tian

Yu Tian is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (21 papers), Artificial Intelligence in Healthcare (16 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Health Informatics (53 citations), Health Information Management (158 citations) and Artificial Intelligence (335 citations). Yu Tian has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jingsong Li, Tianshu Zhou, Kefeng Ding, Yu Wang, Pengfei Li, Lili Tian, Jingjing Ren, Xiangxing Kong, Mao Zhang and Tingbo Liang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

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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