Ye Tian

1.8k total citations
94 papers, 1.3k citations indexed

About

Ye Tian is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Ye Tian has authored 94 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 33 papers in Materials Chemistry and 20 papers in Biomedical Engineering. Recurrent topics in Ye Tian's work include Advanced Memory and Neural Computing (12 papers), Photonic and Optical Devices (11 papers) and Neural Networks and Reservoir Computing (9 papers). Ye Tian is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Photonic and Optical Devices (11 papers) and Neural Networks and Reservoir Computing (9 papers). Ye Tian collaborates with scholars based in China, United States and Belgium. Ye Tian's co-authors include Chuan Fei Guo, Qian Liu, Jianming Zhang, Shengming Guo, Junbo Feng, Youyi Sun, Johann Toudert, Yaqing Liu, Qi Wang and Yanjun Guo and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Ye Tian

88 papers receiving 1.2k citations

Peers

Ye Tian
Comparison fields: 5 of 97
  • Electrical and Electronic Engineering 662
  • Materials Chemistry 563
  • Renewable Energy, Sustainability and the Environment 262
  • Biomedical Engineering 223
  • Electronic, Optical and Magnetic Materials 208
Replace Mukesh Tripathi with:
Mukesh Tripathi Austria
Sichao Du China
Deen Gu China
Zhenyu Yang China
Yuanzheng Chen China
Yisong Han United Kingdom
Richard Tran United States
Dennis M. Callahan United States
Marina S. Leite United States
Jung‐Hae Choi South Korea
Mukesh Tripathi Austria View profile →
Citations per field, relative to Ye Tian
Ye Tian · 1×
Citations per year, relative to Ye Tian
Ye Tian · 1×

Countries citing papers authored by Ye Tian

Since Specialization
Citations

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

Fields of papers citing papers by Ye Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Tian. A scholar is included among the top collaborators of Ye 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 Ye Tian. Ye 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
# Work Indexed citations
1 1
2 5
3 1
4 5
5 3
6 19
7 3
8 3
9 0
10 2
11 49
12 0
13 14
14 11
15 4
16 23
17 4
18 18
19 21
20 15

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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