Xuewei Wang

2.1k citations
33 papers · 1.4k indexed · 2 hit papers · h-index 11
Topics
Smart Agriculture and AI (20 papers)Plant Disease Management Techniques (6 papers)Spectroscopy and Chemometric Analyses (6 papers)

In The Last Decade

Xuewei Wang

27 papers receiving 1.3k citations

Hit Papers

Plant diseases and pests detection based on deep learning...202020262022202420212020100200300400500

Peers

Xuewei Wang
Comparison fields: 5 of 97
  • Plant Science 1.2k
  • Analytical Chemistry 319
  • Ecology 200
  • Computer Vision and Pattern Recognition 80
  • Biomedical Engineering 65
Replace Aichen Wang with:
Aichen Wang China
Young Chang Canada
Alvaro Fuentes South Korea
Henrik Skov Midtiby Denmark
Muhammad Hammad Saleem New Zealand
Yahui Hu China
Amy Tabb United States
Xin‐Gen Zhou United States
Cheryl McCarthy Australia
Xuewei Wang relative to Aichen Wang China Aichen Wang's profile →
Citations per field
00.5×1.6×
Aichen Wang · 1×
Citations per year

Countries citing papers authored by Xuewei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuewei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuewei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuewei Wang. A scholar is included among the top collaborators of Xuewei Wang 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 Xuewei Wang. Xuewei Wang 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 0
5 0
6 1
7 4
8 3
9 10
10 9
11 12
12 1
13 1
14 5
15 27
16 33
17 14
18 73
19 61
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Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Networkbreakdown →
357

About Xuewei Wang

Xuewei Wang is a scholar working on Analytical Chemistry, Plant Science and Family Practice, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (20 papers), Plant Disease Management Techniques (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). The work is most often cited by research in Analytical Chemistry (319 citations), Plant Science (1.2k citations) and Ecology (200 citations). Xuewei Wang has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Jun Liu, Xiaoning Zhu, Guoxu Liu, Jun Liu, Linhe Zhu, Yuling Chen, Qi Wang, Mohammed Abdulhakim Al-Absi, Rui Fu and Peng Wu. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Frontiers in Plant Science.

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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