Biao Wang

1.6k citations
75 papers · 1.2k indexed · h-index 16
Topics
Gene Regulatory Network Analysis (34 papers)Receptor Mechanisms and Signaling (14 papers)Microbial Metabolic Engineering and Bioproduction (10 papers)

In The Last Decade

Biao Wang

66 papers receiving 1.2k citations

Peers

Biao Wang
Comparison fields: 5 of 112
  • Molecular Biology 438
  • Water Science and Technology 286
  • Materials Chemistry 213
  • Organic Chemistry 187
  • Biomedical Engineering 182
Replace Michelle Sergent with:
Michelle Sergent France
Lizeth Parra-Arroyo Mexico
Jiadian Wang China
Frank Baganz United Kingdom
Ehecatl Antonio del Rio‐Chanona United Kingdom
Xiaomin Fang China
Haiyun Zhou China
Zhanchao Li China
A. Das India
Marco Grossi Italy
Biao Wang relative to Michelle Sergent France Michelle Sergent's profile →
Citations per field
00.5×4.7×
Michelle Sergent · 1×
Citations per year

Countries citing papers authored by Biao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Biao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Wang. A scholar is included among the top collaborators of Biao Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Biao Wang. Biao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 2
5 0
6 2
7 9
8 0
9 3
10 6
11 5
12 6
13 5
14 4
15 50
16
Research on service transferring for mobile terminal in VHE
2
17 79
18 9
19
The Conic Curves over Z_n and Public-Key Cryptosystem Protocol
14
20
Public-key Cryptosystem Based on the Conic Curves over Z_n
4

About Biao Wang

Biao Wang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biophysics, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (34 papers), Receptor Mechanisms and Signaling (14 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). The work is most often cited by research in Water Science and Technology (286 citations), Industrial and Manufacturing Engineering (95 citations) and Computational Theory and Mathematics (130 citations). Biao Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jun‐e Feng, Tao Wu, Baoyu Gao, Yujiang Li, Jun‐e Feng, Fengjuan Lu, Dejun Sun, Xia Li, Yongyuan Yu and Wenyuan Xu. Their work appears in journals such as Water Research, Journal of Hazardous Materials and New Phytologist.

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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