Xiaoping Wu

910 citations
22 papers · 606 indexed · 1 hit paper · h-index 10
Topics
Smart Agriculture and AI (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)Advanced Chemical Sensor Technologies (3 papers)
Partner nations
ChinaUnited KingdomChile

In The Last Decade

Xiaoping Wu

20 papers receiving 581 citations

Hit Papers

IP102: A Large-Scale Benchmark Dataset for Insect Pest Re...20192026202120232019100200300

Peers

Xiaoping Wu
Comparison fields: 5 of 101
  • Plant Science 272
  • Computer Vision and Pattern Recognition 114
  • Artificial Intelligence 114
  • Biomedical Engineering 48
  • Ecology 48
Replace Hang Zhou with:
Hang Zhou China
Yahui Hu China
Gilberto Astolfi Brazil
Marco Álvarez United States
Aqing Yang China
Gianluca Maguolo Italy
Deqin Xiao China
Shifeng Dong China
Lin Jiao China
Willian Paraguassu Amorim Brazil
Xiaoping Wu relative to Hang Zhou China Hang Zhou's profile →
Citations per field
00.5×9.5×
Hang Zhou · 1×
Citations per year

Countries citing papers authored by Xiaoping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Wu. A scholar is included among the top collaborators of Xiaoping Wu 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 Wu. Xiaoping Wu 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 0
2 4
3 7
4 5
5 2
6 0
7 15
8 2
9 17
10 16
11 8
12 21
13 14
14 9
15 17
16
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognitionbreakdown →
311
17 72
18 1
19 9
20 1

About Xiaoping Wu

Xiaoping Wu is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Molecular Medicine, having authored 22 papers that have together received 606 indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Plant Science (272 citations), Computer Vision and Pattern Recognition (114 citations) and Analytical Chemistry (48 citations). Xiaoping Wu has collaborated with scholars based in China, United Kingdom and Chile. Frequent co-authors include Jufeng Yang, Ming‐Ming Cheng, Yu‐Kun Lai, Jie Liang, Xiaoxiao Sun, Paul L. Rosin, Liang Wang, Lufeng Mo, Xiaomei Yi and Dongyu She. Their work appears in journals such as IEEE Transactions on Image Processing, Frontiers in Microbiology and Sensors.

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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