Bin Tu

3.7k citations
158 papers · 2.9k · 1 hit paper · h-index 26

Impact in

Papers in

    • Surface Chemistry and Catalysis 27
    • Nanopore and Nanochannel Transport Studies 15
    • T-cell and B-cell Immunology 14
    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 10

Bin Tu

153 papers receiving 2.8k citations

Bin Tu's Hit Papers

Advancing osmotic power generation by covalent organic framework monolayer 2022 · 276 citations
2760+1+2Years since publication50100150200250

Peers

Bin Tu
Comparison fields: 5 of 176
  • Biomedical Engineering 928
  • Immunology 309
  • Materials Chemistry 665
  • Transplantation 31
  • Renewable Energy, Sustainability and the Environment 195
Replace Jeffrey K. Weber with:
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Bin Tu relative to Jeffrey K. Weber United States Jeffrey K. Weber's profile →
Citations per field
00.5×5×10×15.5×
Jeffrey K. Weber · 1×
Citations per year

Countries citing papers authored by Bin Tu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advancing osmotic power generation by covalent organic framework monolayer
Hit paper breakdown →
2022276
2 2017196
3 2006154
4 2020113
5 201996
6 201594
7 200867
8 202366
9 202160
10 201858
11 202252
12 202452
13 200646
14 202146
15 201345
16 202143
17 202138
18 202037
19 202436
20 201634

About Bin Tu

Bin Tu is a scholar working on Biomedical Engineering, Immunology, Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology, having authored 158 papers that have together received 2.9k indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (27 papers), Molecular Junctions and Nanostructures (15 papers), Nanopore and Nanochannel Transport Studies (15 papers), T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (10 papers), Porphyrin and Phthalocyanine Chemistry (9 papers) and Fuel Cells and Related Materials (7 papers). The work is most often cited by research in Biomedical Engineering (928 citations), Immunology (309 citations), Materials Chemistry (665 citations), Transplantation (31 citations) and Renewable Energy, Sustainability and the Environment (195 citations). Bin Tu has collaborated with scholars based in China, United States and Uzbekistan. Frequent co-authors include Qiaojun Fang, Jian‐Hui Jiang, Zhan‐Ming Ying, Yongzhuo Huang, Benzhuo Lu, Weihong Tan, Zhan Wu, Zhiyong Tang, Qingdao Zeng and Lianshan Li. Their work appears in journals such as Langmuir, Chinese Chemical Letters, Human Immunology, Science Advances and Journal of the American Chemical Society.

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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