Yali Song

1.1k citations
63 papers · 846 indexed · h-index 18
Topics
Advanced Memory and Neural Computing (13 papers)Ferroelectric and Negative Capacitance Devices (11 papers)Semiconductor materials and devices (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEFood Chemistry
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Yali Song

57 papers receiving 832 citations

Peers

Yali Song
Comparison fields: 5 of 123
  • Molecular Biology 306
  • Cancer Research 257
  • Oncology 163
  • Electrical and Electronic Engineering 107
  • Immunology 92
Replace Daisuke Hoshino with:
Daisuke Hoshino Japan
Kushal K. Dey United States
Ai Watanabe Japan
Krzysztof Polański United Kingdom
Stephen J. Trevanion United Kingdom
Sunghoon Lee South Korea
Trevor Wilson Australia
Lei Han China
Yali Song relative to Daisuke Hoshino Japan Daisuke Hoshino's profile →
Citations per field
00.5×50×107×
Daisuke Hoshino · 1×
Citations per year

Countries citing papers authored by Yali Song

Since Specialization
Citations

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

Fields of papers citing papers by Yali Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yali Song. A scholar is included among the top collaborators of Yali Song 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 Yali Song. Yali Song 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 0
4 1
5 0
6 2
7 4
8 1
9 23
10 2
11 2
12 5
13
The Effects Of Sevoflurane On The Progression And Cisplatinum Sensitivity Of Cervical Cancer Cells
3
14 12
15 5
16 28
17 4
18 38
19 8
20
Reliability significant improvement of resistive switching memory by dynamic self-adaptive write method
19

About Yali Song

Yali Song is a scholar working on Cancer Research, Transplantation and Oncology, having authored 63 papers that have together received 846 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (9 papers). The work is most often cited by research in Cancer Research (257 citations), Oncology (163 citations) and Nature and Landscape Conservation (58 citations). Yali Song has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Tingting Zeng, Hairong Han, Ke Liu, Xiaoling Li, Xiaoqin Cheng, Fengfeng Kang, Bingru Huang, Bo Xiang, Zhaojian Gong and Guiyuan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

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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