Xiaoping Huang

435 total citations
27 papers, 305 citations indexed

About

Xiaoping Huang is a scholar working on Computer Vision and Pattern Recognition, Aquatic Science and Molecular Biology. According to data from OpenAlex, Xiaoping Huang has authored 27 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Aquatic Science and 4 papers in Molecular Biology. Recurrent topics in Xiaoping Huang's work include Aquaculture Nutrition and Growth (5 papers), Advanced Neural Network Applications (3 papers) and Engineering Structural Analysis Methods (2 papers). Xiaoping Huang is often cited by papers focused on Aquaculture Nutrition and Growth (5 papers), Advanced Neural Network Applications (3 papers) and Engineering Structural Analysis Methods (2 papers). Xiaoping Huang collaborates with scholars based in China, United States and Australia. Xiaoping Huang's co-authors include Zelin Hu, Gang Zhao, Lisheng Deng, Xinru Li, Jian Zhang, Dizhi Xie, Chao Xu, Tian Xie, Fei Liu and Fei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Xiaoping Huang

23 papers receiving 299 citations

Peers

Xiaoping Huang
Comparison fields: 5 of 82
  • Food Science 51
  • Animal Science and Zoology 48
  • Organic Chemistry 47
  • Agronomy and Crop Science 46
  • Molecular Biology 44
Replace Chuanxin Shi with:
Chuanxin Shi China
Ananta Kumar Das India
Yiru Shen China
Songshan Zhang China
Qiaohua Wang China
C. Craigie New Zealand
Devender Arora India
Marek Stanisz Poland
Mingzhou Lu China
Chuanxin Shi China View profile →
Citations per field, relative to Xiaoping Huang
Xiaoping Huang · 1×
Citations per year, relative to Xiaoping Huang
Xiaoping Huang · 1×

Countries citing papers authored by Xiaoping Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Huang. A scholar is included among the top collaborators of Xiaoping Huang 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 Xiaoping Huang. Xiaoping Huang 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 3
5 4
6 0
7 10
8 12
9 46
10 8
11 6
12 26
13 23
14 8
15 12
16 1
17 4
18 49
19 3
20 6

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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