Bin Qu

4.2k citations
161 papers · 3.0k indexed · h-index 29

Bin Qu

150 papers receiving 3.0k citations

Peers

Bin Qu
Comparison fields: 5 of 157
  • Sensory Systems 165
  • Immunology 463
  • Molecular Biology 1.4k
  • Physiology 74
  • Cellular and Molecular Neuroscience 289
Replace Shaoping Deng with:
Shaoping Deng China
Yong Tang China
Sang Hun Lee South Korea
Woo Jin Park South Korea
Jae‐Yong Park South Korea
Hongyu Li China
Song Li China
Ying Xu China
Min Young Kim South Korea
Feihu Chen China
Bin Qu relative to Shaoping Deng China Shaoping Deng's profile →
Citations per field
00.5×1.5×2.5×
Shaoping Deng · 1×
Citations per year

Countries citing papers authored by Bin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bin Qu, 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 Bin Qu Line = papers co-authored together Bin Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 202413
4 20241
5 20232
6 2023106
7 20231
8 202310
9 202213
10 20222
11 202127
12 202018
13 20200
14
Vectorization-Friendly Tile Size Selection Algorithm
20201
15 201934
16 201626
17
Research of open architecture NC engraving system based on MPC08SP
20101
18
Collaborative Design Environment for Complex Product Based on HLA
20091
19
Comparative studies on hepatic protective and choleretic effect of geniposide and crocetin
20039
20
A Fast Boundary Tracking Method Based on the Rule of Region-growth
20020

About Bin Qu

Bin Qu is a scholar working on Immunology and Allergy, Immunology, Cell Biology, Sensory Systems and Physiology, having authored 161 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), Cellular Mechanics and Interactions (9 papers), Digital Radiography and Breast Imaging (7 papers), Cell Adhesion Molecules Research (7 papers), Medical Imaging Techniques and Applications (6 papers) and Biosensors and Analytical Detection (6 papers). The work is most often cited by research in Sensory Systems (165 citations), Immunology (463 citations), Molecular Biology (1.4k citations), Physiology (74 citations) and Cellular and Molecular Neuroscience (289 citations). Bin Qu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Markus Hoth, Eva C. Schwarz, Gang Pei, Yaya Wang, Bing Luan, Yalan Wu, Yue Sun, Hua Gao, Renping Zhao and Qiu‐Tian Li. Their work appears in journals such as European Journal of Immunology, Biosensors and Bioelectronics, Frontiers in Immunology, Scientific Reports and Cell.

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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2026