Xiaopeng Bai

653 citations
44 papers · 455 indexed · 1 hit paper · h-index 12
Topics
Thermochemical Biomass Conversion Processes (10 papers)Natural Language Processing Techniques (5 papers)Biofuel production and bioconversion (5 papers)

In The Last Decade

Xiaopeng Bai

37 papers receiving 441 citations

Hit Papers

Artificial Intelligence-Powered Materials Science202520262025102030

Peers

Xiaopeng Bai
Comparison fields: 5 of 90
  • Biomedical Engineering 288
  • Mechanical Engineering 94
  • Materials Chemistry 41
  • Renewable Energy, Sustainability and the Environment 35
  • Molecular Biology 34
Replace Qing Xu with:
Qing Xu China
Shahabaddine Sokhansanj Canada
Nahieh Toscano Miranda Brazil
Yuying Zhao China
Sajid Riaz Australia
Bahman Ghiasi Canada
Agnieszka Plis Poland
E.J. Leijenhorst Netherlands
Whitney Jablonski United States
Glauber Cruz Brazil
Xiaopeng Bai relative to Qing Xu China Qing Xu's profile →
Citations per field
00.5×3.8×
Qing Xu · 1×
Citations per year

Countries citing papers authored by Xiaopeng Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Bai. A scholar is included among the top collaborators of Xiaopeng Bai 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 Xiaopeng Bai. Xiaopeng Bai 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 1
6
Artificial Intelligence-Powered Materials Sciencebreakdown →
33
7 1
8 0
9 0
10 4
11 0
12 0
13 3
14 10
15 2
16 1
17 71
18 25
19 35
20 49

About Xiaopeng Bai

Xiaopeng Bai is a scholar working on Environmental Engineering, Nutrition and Dietetics and Mechanical Engineering, having authored 44 papers that have together received 455 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (10 papers), Natural Language Processing Techniques (5 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Biomedical Engineering (288 citations), Geochemistry and Petrology (20 citations) and Industrial and Manufacturing Engineering (27 citations). Xiaopeng Bai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Decheng Wang, Guanghui Wang, Zhiqin Wang, Daochun Xu, Yan Yu, Wenbin Li, Xingcai Zhang, Guanghui Wang, Weinan Liu and Chen Cai. Their work appears in journals such as Advanced Materials, Bioresource Technology and Scientific Reports.

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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