Linying Zhang

624 total citations
32 papers, 302 citations indexed

About

Linying Zhang is a scholar working on Artificial Intelligence, Mechanics of Materials and Statistics and Probability. According to data from OpenAlex, Linying Zhang has authored 32 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Mechanics of Materials and 4 papers in Statistics and Probability. Recurrent topics in Linying Zhang's work include Advanced Causal Inference Techniques (4 papers), Laser-induced spectroscopy and plasma (4 papers) and Cultural Heritage Materials Analysis (3 papers). Linying Zhang is often cited by papers focused on Advanced Causal Inference Techniques (4 papers), Laser-induced spectroscopy and plasma (4 papers) and Cultural Heritage Materials Analysis (3 papers). Linying Zhang collaborates with scholars based in China, United States and Japan. Linying Zhang's co-authors include George Hripcsak, Anna Ostropolets, Kefeng Dou, Wei Zhao, Shuqiang Yue, Junjie Li, Patricia C. Dykes, Wenyu Song, Muhua Liu and Min‐Jeoung Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbohydrate Polymers and Journal of the American Geriatrics Society.

In The Last Decade

Linying Zhang

27 papers receiving 295 citations

Peers

Linying Zhang
Comparison fields: 5 of 111
  • Mechanics of Materials 67
  • Analytical Chemistry 43
  • Molecular Biology 35
  • Occupational Therapy 32
  • Plant Science 26
Replace Taehwa Kim with:
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Linnéa Lillienberg Sweden
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Viviane Klingmann Germany
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Taehwa Kim South Korea View profile →
Citations per field, relative to Linying Zhang
Linying Zhang · 1×
Citations per year, relative to Linying Zhang
Linying Zhang · 1×

Countries citing papers authored by Linying Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Linying Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linying Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Linying Zhang. A scholar is included among the top collaborators of Linying Zhang 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 Linying Zhang. Linying Zhang 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 0
2 0
3 7
4 3
5 2
6 1
7 21
8 12
9 11
10 15
11
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records.
3
12 12
13 1
14 27
15 1
16 47
17 4
18 0
19
Emotion and Personality-based Attentional Control Model for Agent
0
20 0

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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