Yanjun Liu

422 citations
17 papers · 336 · h-index 7

Impact in

Papers in

Yanjun Liu

16 papers receiving 334 citations

Peers

Yanjun Liu
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 164
  • Catalysis 32
  • Materials Chemistry 158
  • Electrical and Electronic Engineering 122
  • Surfaces, Coatings and Films 13
Replace Dingxin Liu with:
Dingxin Liu China
Ching‐Yu Wang United States
Zhimin Song China
Xueyu Zhao China
Mikio Inoue Japan
Kai Xuan China
Shenglin Xu China
Yiwei Fu China
Yanjun Liu relative to Dingxin Liu China Dingxin Liu's profile →
Citations per field
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Dingxin Liu · 1×
Citations per year

Countries citing papers authored by Yanjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanjun Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanjun Liu Line = papers co-authored together Yanjun Liu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018188
2 201737
3 200033
4 202319
5 201014
6 202110
7 20197
8 20205
9 20214
10
Screening of tumor necrosis factor-alpha-binding peptides by phage display peptide library.
20024
11 20183
12 20203
13 20193
14 20133
15 20241
16 20201
17 20191

About Yanjun Liu

Yanjun Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 336 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Electrical and Bioimpedance Tomography (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Plasma Diagnostics and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Plasma Applications and Diagnostics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (164 citations), Catalysis (32 citations), Materials Chemistry (158 citations), Electrical and Electronic Engineering (122 citations) and Surfaces, Coatings and Films (13 citations). Yanjun Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Muhammad Farooq Mustafa, Yawar Abbas, Xindi Fu, Wenjing Lü, Hongtao Wang, Hongtao Wang, Mingjing Li, Xu Bin, Dan Yang and Fei Wang. Their work appears in journals such as Sensors, Journal of Cleaner Production, Transactions of Tianjin University, Applied Intelligence and PLoS Computational Biology.

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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