Yannan Bin

949 citations
38 papers · 657 indexed · h-index 15

Impact in

    • Antimicrobial Peptides and Activities
    • Machine Learning in Bioinformatics
    • vaccines and immunoinformatics approaches
    • RNA and protein synthesis mechanisms
    • Chemical Synthesis and Analysis
    • Genomics and Phylogenetic Studies

Papers in

Yannan Bin

32 papers receiving 655 citations

Peers

Yannan Bin
Comparison fields: 5 of 98
  • Microbiology 137
  • Molecular Biology 519
  • Computational Theory and Mathematics 98
  • Cancer Research 70
  • Ecology 67
Replace Cheng-Tsung Lu with:
Cheng-Tsung Lu Taiwan
Jure Borišek Slovenia
Congcong Wang China
Davide Pirolli Italy
Olga M. Selivanova Russia
Hans-Peter Biemann United States
Nikoletta Murvai Hungary
Valentín Iglesias Spain
Stephen Boulton Canada
Xiaomei Chai United States
Yannan Bin relative to Cheng-Tsung Lu Taiwan Cheng-Tsung Lu's profile →
Citations per field
00.5×5.1×
Cheng-Tsung Lu · 1×
Citations per year

Countries citing papers authored by Yannan Bin

Since Specialization
Citations

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

Fields of papers citing papers by Yannan Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 202313
5 202314
6 202313
7 202220
8 20210
9 202124
10 20216
11 202059
12 20205
13 20208
14 202017
15 201914
16 201612
17 20165
18 20157
19 201330
20 201217

About Yannan Bin

Yannan Bin is a scholar working on Microbiology, Computational Theory and Mathematics, Molecular Biology, Physiology and Cancer Research, having authored 38 papers that have together received 657 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (19 papers), Computational Drug Discovery Methods (8 papers), Antimicrobial Peptides and Activities (8 papers), Protein Structure and Dynamics (6 papers), Alzheimer's disease research and treatments (6 papers), vaccines and immunoinformatics approaches (6 papers), RNA and protein synthesis mechanisms (5 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Microbiology (137 citations), Molecular Biology (519 citations), Computational Theory and Mathematics (98 citations), Cancer Research (70 citations) and Ecology (67 citations). Yannan Bin has collaborated with scholars based in China, Australia and Belgium. Frequent co-authors include Junfeng Xia, Menglu Li, Juan Xiang, Chun-Hou Zheng, Mengya Liu, Wei Zhang, Wenhui Yan, Enhua Xia, Shu Chen and Bart De Spiegeleer. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, BMC Bioinformatics, Journal of Inorganic Biochemistry and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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