Baoxiang Li

1.9k total citations
37 papers, 628 citations indexed

About

Baoxiang Li is a scholar working on Signal Processing, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Baoxiang Li has authored 37 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 8 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in Baoxiang Li's work include Speech and Audio Processing (8 papers), Speech Recognition and Synthesis (7 papers) and Thyroid Disorders and Treatments (7 papers). Baoxiang Li is often cited by papers focused on Speech and Audio Processing (8 papers), Speech Recognition and Synthesis (7 papers) and Thyroid Disorders and Treatments (7 papers). Baoxiang Li collaborates with scholars based in China, Netherlands and Singapore. Baoxiang Li's co-authors include Tom Van Woensel, Hajo A. Reijers, Dmitry Krushinsky, Hua Lin, Dunqiu Wang, Rui Liu, Liheng Liu, Min Liu, Hoong Chuin Lau and Dan Xu and has published in prestigious journals such as Bioresource Technology, European Journal of Operational Research and British Journal Of Nutrition.

In The Last Decade

Baoxiang Li

31 papers receiving 611 citations

Peers

Baoxiang Li
Comparison fields: 5 of 95
  • Automotive Engineering 304
  • Building and Construction 278
  • Industrial and Manufacturing Engineering 159
  • Transportation 141
  • Marketing 101
Replace Shukai Chen with:
Shukai Chen China
Fei Miao United States
Md. Zia Ul Haq India
Maria João Santos Portugal
Hemant Sood India
Bartolomeo Silvestri Italy
Lijun Sun China
Zhiyuan Wang Singapore
Hon Huin Chin Czechia
Shukai Chen China View profile →
Citations per field, relative to Baoxiang Li
Baoxiang Li · 1×
Citations per year, relative to Baoxiang Li
Baoxiang Li · 1×

Countries citing papers authored by Baoxiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Baoxiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxiang Li. A scholar is included among the top collaborators of Baoxiang Li 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 Baoxiang Li. Baoxiang Li 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 3
2 0
3 3
4 0
5 3
6 0
7 1
8 4
9 2
10 1
11 10
12 61
13 12
14 80
15
Pyrolysis Molecules of Pinus armandii Leaves for Potential Reuse
1
16 8
17 3
18 8
19 7
20 2

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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