Weibin Wu

1.1k citations
43 papers · 677 indexed · 1 hit paper · h-index 13
Topics
Adversarial Robustness in Machine Learning (11 papers)Smart Agriculture and AI (8 papers)Spectroscopy and Chemometric Analyses (5 papers)
Partner nations
ChinaHong KongTaiwan

In The Last Decade

Weibin Wu

40 papers receiving 659 citations

Hit Papers

Lightweight detection networks for tea bud on complex agr...20232026202420252023255075

Peers

Weibin Wu
Comparison fields: 5 of 98
  • Artificial Intelligence 296
  • Plant Science 148
  • Computer Vision and Pattern Recognition 137
  • Electrical and Electronic Engineering 65
  • Ecology 60
Replace Henry Medeiros with:
Henry Medeiros United States
Yulong Wang China
Theodore Pachidis Greece
Mizanur Rahman United States
Debadeepta Dey United States
Roberto Iglesias Spain
Danilo Pau Italy
Muhammad Tufail Pakistan
Weibin Wu relative to Henry Medeiros United States Henry Medeiros's profile →
Citations per field
00.5×3.0×
Henry Medeiros · 1×
Citations per year

Countries citing papers authored by Weibin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weibin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weibin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Weibin Wu. A scholar is included among the top collaborators of Weibin 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 Weibin Wu. Weibin 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 2
3 1
4 12
5 15
6 24
7 1
8 0
9 1
10 4
11 8
12 5
13 7
14 6
15
Lightweight detection networks for tea bud on complex agricultural environment via improved YOLO v4breakdown →
90
16 6
17 23
18 84
19 61
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Simulation and construction of virtual LAI measurement system
2

About Weibin Wu

Weibin Wu is a scholar working on Software, Analytical Chemistry and Artificial Intelligence, having authored 43 papers that have together received 677 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Smart Agriculture and AI (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Artificial Intelligence (296 citations), Computer Vision and Pattern Recognition (137 citations) and Software (24 citations). Weibin Wu has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Michael R. Lyu, Yuxin Su, Irwin King, Jiehao Li, Xiaohang Su, Jie Li, Yu‐Wing Tai, Shenglin Zhao, Xin Zhao and Chongyang Han. Their work appears in journals such as Scientific Reports, Food Chemistry 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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