Yanbin Wang

891 citations
41 papers · 522 · h-index 14

Impact in

    • Computational Drug Discovery Methods
    • Machine Learning in Bioinformatics
    • Bioinformatics and Genomic Networks
    • Protein Structure and Dynamics
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms

Papers in

Yanbin Wang

36 papers receiving 514 citations

Peers

Yanbin Wang
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 140
  • Molecular Biology 359
  • Software 16
  • Cancer Research 47
  • Health Informatics 4
Replace Tonghai Jiang with:
Tonghai Jiang China
Jonathan Babb United States
Siyi Zhu China
Huang Cheng-bing China
Li Cheng China
Yunsheng Shi China
Alessandro Savino Italy
Martin Golebiewski Germany
Bosheng Song China
Maryam Abbasi Portugal
Yanbin Wang relative to Tonghai Jiang China Tonghai Jiang's profile →
Citations per field
00.5×
Tonghai Jiang · 1×
Citations per year

Countries citing papers authored by Yanbin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 201963
3 201750
4 202038
5 202032
6 201326
7 202019
8 201719
9 201917
10 202117
11 201916
12 202116
13 201816
14 202013
15 202313
16 202312
17 20188
18 20217
19 20166
20 20226

About Yanbin Wang

Yanbin Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 41 papers that have together received 522 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (16 papers), Bioinformatics and Genomic Networks (13 papers), Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (4 papers), Hydrogen Storage and Materials (3 papers), Spacecraft and Cryogenic Technologies (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Hybrid Renewable Energy Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (140 citations), Molecular Biology (359 citations), Software (16 citations), Cancer Research (47 citations) and Health Informatics (4 citations). Yanbin Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhu‐Hong You, Tonghai Jiang, Zhan‐Heng Chen, Xi Zhou, Hai-Cheng Yi, Li Xiao, Zhen-Hao Guo, Li Xiao, Lei Wang and Xing Chen. Their work appears in journals such as BMC Bioinformatics, International Journal of Molecular Sciences, International Journal of Hydrogen Energy, Frontiers of Computer Science and Briefings in 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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