Nan An

30 papers receiving 430 citations

Peers

Nan An
Comparison fields: 5 of 104
  • Management Science and Operations Research 56
  • Radiological and Ultrasound Technology 19
  • Media Technology 34
  • Environmental Engineering 38
  • Computer Vision and Pattern Recognition 53
Replace Zhenyu Gao with:
Zhenyu Gao China
Pan Gong China
Amirhossein Heravi Australia
Мирослав Келемен Slovakia
Jaeho Shin South Korea
Kenneth Ifeanyi Ibekwe United States
Leticia Blázquez Spain
Shenhao Wang United States
Nan An relative to Zhenyu Gao China Zhenyu Gao's profile →
Citations per field
00.5×4.8×
Zhenyu Gao · 1×
Citations per year

Countries citing papers authored by Nan An

Since Specialization
Citations

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

Fields of papers citing papers by Nan An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 202358
3 201836
4 202331
5 201729
6 201823
7 202223
8 201720
9 202317
10 202315
11 201814
12 201913
13 201912
14 20239
15 20249
16 20188
17 20177
18 20216
19 20215
20 20224

About Nan An

Nan An is a scholar working on Electrical and Electronic Engineering, Sociology and Political Science, Aerospace Engineering, Materials Chemistry and Global and Planetary Change, having authored 34 papers that have together received 438 indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (8 papers), Nuclear reactor physics and engineering (4 papers), Nuclear Materials and Properties (3 papers), Digital Marketing and Social Media (3 papers), Semiconductor Lasers and Optical Devices (2 papers), UAV Applications and Optimization (2 papers), Graphite, nuclear technology, radiation studies (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (56 citations), Radiological and Ultrasound Technology (19 citations), Media Technology (34 citations), Environmental Engineering (38 citations) and Computer Vision and Pattern Recognition (53 citations). Nan An has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Maoshan Qiang, Qi Wen, Hanchen Jiang, Chengkang Gao, Jian Song, Hongming Na, Fang Yang, Shiyuan Sun, Zhu Han and Jinyuan Liu. Their work appears in journals such as IEEE Internet of Things Journal, Water Policy, Annals of Nuclear Energy, IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters.

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