Dong An

143 papers receiving 3.1k citations

Peers

Dong An
Comparison fields: 5 of 163
  • Water Science and Technology 855
  • Analytical Chemistry 533
  • Biophysics 214
  • Industrial and Manufacturing Engineering 310
  • Aquatic Science 203
Replace Yaoguang Wei with:
Yaoguang Wei China
Paolo Menesatti Italy
Yingyi Chen China
Seyed Saeid Mohtasebi Iran
Huihui Zhang China
Raphael Linker Israel
Lei Zhou China
Yaqian Wang China
Argel A. Bandala Philippines
Ya Guo China
Dong An relative to Yaoguang Wei China Yaoguang Wei's profile →
Citations per field
00.5×1.5×
Yaoguang Wei · 1×
Citations per year

Countries citing papers authored by Dong An

Since Specialization
Citations

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

Fields of papers citing papers by Dong An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 2019167
3 2019132
4 2021111
5 2015102
6 202288
7 202283
8 202283
9 201877
10 201972
11 202062
12 202062
13 202161
14 201958
15 202157
16 202257
17 202354
18 202253
19 202147
20 202147

About Dong An

Dong An is a scholar working on Analytical Chemistry, Water Science and Technology, Plant Science, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 154 papers that have together received 3.2k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (31 papers), Smart Agriculture and AI (25 papers), Water Quality Monitoring Technologies (25 papers), Spectroscopy Techniques in Biomedical and Chemical Research (17 papers), Underwater Vehicles and Communication Systems (14 papers), Water Quality Monitoring and Analysis (11 papers), Water Treatment and Disinfection (10 papers) and Identification and Quantification in Food (8 papers). The work is most often cited by research in Water Science and Technology (855 citations), Analytical Chemistry (533 citations), Biophysics (214 citations), Industrial and Manufacturing Engineering (310 citations) and Aquatic Science (203 citations). Dong An has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yaoguang Wei, Jincun Liu, Daoliang Li, Yaqian Wang, Yinghao Wu, Liu Zhang, Xiaoning Yu, Wenshu Li, Qiong Wei and Ruichao Xiao. Their work appears in journals such as Expert Systems with Applications, Computers and Electronics in Agriculture, The Science of The Total Environment, Aquacultural Engineering and Engineering Applications of Artificial Intelligence.

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.

Explore authors with similar magnitude of impact