Liusan Wang

415 citations
26 papers · 283 · h-index 10

Impact in

Papers in

Liusan Wang

24 papers receiving 275 citations

Peers

Liusan Wang
Comparison fields: 5 of 74
  • Analytical Chemistry 130
  • Biophysics 33
  • Industrial and Manufacturing Engineering 24
  • Plant Science 85
  • Environmental Engineering 28
Replace Rahim Azadnia with:
Rahim Azadnia Iran
Liangquan Jia China
Xinhua Wei China
Satyam Srivastava India
Linjun Jiang China
Md. Toukir Ahmed United States
Nelson Lee Afanador United States
Kaiwen Xu United States
Liusan Wang relative to Rahim Azadnia Iran Rahim Azadnia's profile →
Citations per field
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Citations per year

Countries citing papers authored by Liusan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liusan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liusan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liusan Wang Line = papers co-authored together Liusan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202237
2 202233
3 202129
4 201829
5 202225
6 201017
7 201514
8 201912
9 202112
10 202010
11
Prediction of Soil Organic Matter Content Using VIS/NIR Soil Sensor
20149
12 20219
13 20227
14 20247
15 20246
16 20235
17 20185
18 20244
19 20243
20 20243

About Liusan Wang

Liusan Wang is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics and Biomedical Engineering, having authored 26 papers that have together received 283 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Image Enhancement Techniques (4 papers), Smart Agriculture and AI (4 papers), Advanced Chemical Sensor Technologies (3 papers), Advanced Image Processing Techniques (3 papers), Soil Geostatistics and Mapping (3 papers) and Laser-induced spectroscopy and plasma (2 papers). The work is most often cited by research in Analytical Chemistry (130 citations), Biophysics (33 citations), Industrial and Manufacturing Engineering (24 citations), Plant Science (85 citations) and Environmental Engineering (28 citations). Liusan Wang has collaborated with scholars based in China, France and United States. Frequent co-authors include Rujing Wang, Yue Teng, Zhengyong Zhang, Yubing Wang, Ning Su, Ying Cao, Jianming Du, Shizhuang Weng, Yang Liu and Likai Zhu. Their work appears in journals such as Applied Optics, Biosensors, Journal of King Saud University - Computer and Information Sciences, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Journal of Nanoparticle Research.

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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