Dawei Sun

76 papers receiving 2.2k citations

Dawei Sun's Hit Papers

A Review of Android Malware Detection Approaches Based on Machine Learning 2020 · 208 citations
2080+2+4Years since publication50100150200

Peers

Dawei Sun
Comparison fields: 5 of 139
  • Analytical Chemistry 307
  • Ecology 705
  • Endocrinology 140
  • Cancer Research 341
  • Signal Processing 197
Replace Anil Rai with:
Anil Rai India
A. R. Rao India
Jihua Wang China
Patrik D’haeseleer United States
Dan Nettleton United States
Zhirui Wang China
Jens Stoye Germany
Victor Markowitz United States
Qing Yao China
João Carlos Setúbal Brazil
Dawei Sun relative to Anil Rai India Anil Rai's profile →
Citations per field
00.5×10.9×
Anil Rai · 1×
Citations per year

Countries citing papers authored by Dawei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dawei Sun, 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 Dawei Sun Line = papers co-authored together Dawei Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China
Hit paper breakdown →
2020225
2
A Review of Android Malware Detection Approaches Based on Machine Learning
Hit paper breakdown →
2020208
3 2014128
4 2018118
5 2017118
6 2018110
7 201588
8 201384
9 202181
10 201571
11 201966
12 201466
13 201959
14 201959
15 202158
16 201850
17 202039
18 201637
19 202235
20 202228

About Dawei Sun

Dawei Sun is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Plant Science, Ecology and Computer Networks and Communications, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Spectroscopy and Chemometric Analyses (11 papers), Power Systems and Renewable Energy (10 papers), Microgrid Control and Optimization (8 papers), Advanced Wireless Network Optimization (7 papers), Remote Sensing and LiDAR Applications (6 papers), Smart Agriculture and AI (6 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Analytical Chemistry (307 citations), Ecology (705 citations), Endocrinology (140 citations), Cancer Research (341 citations) and Signal Processing (197 citations). Dawei Sun has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Haiyan Cen, Yong He, Liang Wan, Haiyong Weng, Guoai Xu, Yueming Zhu, Jiangpeng Zhu, Mark R. Liles, Shengwei Xu and Miao Zhang. Their work appears in journals such as Computers and Electronics in Agriculture, International journal of agricultural and biological engineering, Frontiers in Plant Science, Journal of Modern Power Systems and Clean Energy 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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