Yang Bao

5.2k total citations · 2 hit papers
88 papers, 3.9k citations indexed

About

Yang Bao is a scholar working on Materials Chemistry, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yang Bao has authored 88 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Materials Chemistry, 14 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Yang Bao's work include 2D Materials and Applications (17 papers), Advanced Thermoelectric Materials and Devices (14 papers) and Thermal properties of materials (13 papers). Yang Bao is often cited by papers focused on 2D Materials and Applications (17 papers), Advanced Thermoelectric Materials and Devices (14 papers) and Thermal properties of materials (13 papers). Yang Bao collaborates with scholars based in China, Singapore and United States. Yang Bao's co-authors include Kian Ping Loh, Anindya Datta, Gang Chen, Hui Fang, Sherman J. R. Tan, Jiong Lu, Jie Zhang, Wei Liu, Bin Ke and Hai Xu and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yang Bao

73 papers receiving 3.8k citations

Hit Papers

Simultaneously Discovering and Quantifying Risk Types fro... 2014 2026 2018 2022 2014 2019 100 200 300

Peers

Yang Bao
Comparison fields: 5 of 145
  • Materials Chemistry 2.2k
  • Electrical and Electronic Engineering 1.0k
  • Biomedical Engineering 481
  • Artificial Intelligence 428
  • Atomic and Molecular Physics, and Optics 386
Replace Min Cao with:
Min Cao China
Chul‐Ho Lee Japan
Stephen Morris United Kingdom
Yoshiteru Nakamori Japan
Arnold Reisman United States
Yulin Chen China
Rusli Rusli Singapore
Minqiang Li China
Partha Pratim Ray India
Chih‐Hung Tsai Taiwan
Min Cao China View profile →
Citations per field, relative to Yang Bao
Yang Bao · 1×
Citations per year, relative to Yang Bao
Yang Bao · 1×

Countries citing papers authored by Yang Bao

Since Specialization
Citations

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

Fields of papers citing papers by Yang Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Bao. A scholar is included among the top collaborators of Yang Bao 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 Yang Bao. Yang Bao 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 0
2 0
3 1
4 0
5 8
6 4
7 15
8 12
9 116
10 67
11 169
12
Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach breakdown →
270
13 69
14 26
15 39
16 142
17 5
18 110
19 102
20
Research on Synthesizing MnOOH Nanotubes with Self-sacrificing Template Route
0

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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