Bin Shao

2.3k total citations · 2 hit papers
40 papers, 1.4k citations indexed

About

Bin Shao is a scholar working on Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bin Shao has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Molecular Biology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bin Shao's work include Protein Structure and Dynamics (12 papers), Graph Theory and Algorithms (12 papers) and Service-Oriented Architecture and Web Services (7 papers). Bin Shao is often cited by papers focused on Protein Structure and Dynamics (12 papers), Graph Theory and Algorithms (12 papers) and Service-Oriented Architecture and Web Services (7 papers). Bin Shao collaborates with scholars based in China, United States and United Kingdom. Bin Shao's co-authors include Haixun Wang, Yatao Li, Hongzhi Wang, Jianzhong Li, Yanghua Xiao, Tie‐Yan Liu, Zhongyuan Wang, Jiacheng Yang, Kai Zeng and Tong Wang and has published in prestigious journals such as Nature, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Bin Shao

38 papers receiving 1.3k citations

Hit Papers

Trinity 2013 2026 2017 2021 2013 2024 50 100 150 200 250

Peers

Bin Shao
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 711
  • Artificial Intelligence 564
  • Computer Networks and Communications 478
  • Information Systems 332
  • Signal Processing 248
Replace M. Vento with:
M. Vento Italy
J. R. Ullmann United Kingdom
Srikanta Tirthapura United States
Takeaki Uno Japan
Kai Lü China
Jianhua Gu China
Sayan Ranu India
Srinivasa Rao Satti South Korea
G. Mohiuddin Bhat India
Peixiang Zhao United States
M. Vento Italy View profile →
Citations per field, relative to Bin Shao
Bin Shao · 1×
Citations per year, relative to Bin Shao
Bin Shao · 1×

Countries citing papers authored by Bin Shao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Shao. A scholar is included among the top collaborators of Bin Shao 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 Bin Shao. Bin Shao 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
# Work Indexed citations
1 50
2 14
3
Ab initio characterization of protein molecular dynamics with AI2BMD breakdown →
63
4 86
5 4
6 5
7 13
8 15
9 1
10 52
11
Billion-Node Graph Challenges.
1
12
Trinity Graph Engine and its Applications.
3
13 1
14 14
15 79
16 29
17
The Trinity Graph Engine
44
18 238
19 20
20 15

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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