Yiting Feng

737 total citations · 1 hit paper
15 papers, 523 citations indexed

About

Yiting Feng is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yiting Feng has authored 15 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electronic, Optical and Magnetic Materials, 4 papers in Materials Chemistry and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yiting Feng's work include Magnetic and transport properties of perovskites and related materials (2 papers), Heusler alloys: electronic and magnetic properties (2 papers) and Shape Memory Alloy Transformations (2 papers). Yiting Feng is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (2 papers), Heusler alloys: electronic and magnetic properties (2 papers) and Shape Memory Alloy Transformations (2 papers). Yiting Feng collaborates with scholars based in China, Saudi Arabia and Czechia. Yiting Feng's co-authors include Jiawei Zhou, Siyang Gao, Ziwei Tang, Xikun Zhou, Chunyu Li, Jian Yang, Jialuo He, Ming Xiang, Xiaohong Hao and Fucheng Zhang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Acta Materialia.

In The Last Decade

Yiting Feng

13 papers receiving 514 citations

Hit Papers

Tumor-Associated Macrophages: Recent Insights and Therapies 2020 2026 2022 2024 2020 100 200 300 400

Peers

Yiting Feng
Comparison fields: 5 of 87
  • Immunology 277
  • Oncology 194
  • Molecular Biology 178
  • Cancer Research 70
  • Biomedical Engineering 66
Replace Chad A. Komar with:
Chad A. Komar United States
Iliana Tenvooren United States
Nader El-Sayes Canada
Mingen Liu United States
Zhifa Wen China
Yadi Li United States
Zofia Pilch Poland
Margherita Passariello Italy
Jinti Lin China
Jiakang Jin China
Chad A. Komar United States View profile →
Citations per field, relative to Yiting Feng
Yiting Feng · 1×
Citations per year, relative to Yiting Feng
Yiting Feng · 1×

Countries citing papers authored by Yiting Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yiting Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiting Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yiting Feng. A scholar is included among the top collaborators of Yiting Feng 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 Yiting Feng. Yiting Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 4
3 0
4 1
5 5
6 4
7 0
8 2
9 1
10 3
11 9
12 7
13 12
14 2
15
Tumor-Associated Macrophages: Recent Insights and Therapies breakdown →
472

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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