Nannan Wang

7.8k total citations
246 papers, 5.1k citations indexed

About

Nannan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nannan Wang has authored 246 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 27 papers in Signal Processing. Recurrent topics in Nannan Wang's work include Face recognition and analysis (80 papers), Generative Adversarial Networks and Image Synthesis (54 papers) and Face and Expression Recognition (40 papers). Nannan Wang is often cited by papers focused on Face recognition and analysis (80 papers), Generative Adversarial Networks and Image Synthesis (54 papers) and Face and Expression Recognition (40 papers). Nannan Wang collaborates with scholars based in China, Australia and Hong Kong. Nannan Wang's co-authors include Xinbo Gao, Xi Yang, Xuelong Li, Chunlei Peng, Dacheng Tao, Jie Li, Decheng Liu, Jie Li, Xiaoyu Wang and Jie Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Drug Delivery Reviews and Journal of Controlled Release.

In The Last Decade

Nannan Wang

223 papers receiving 5.0k citations

Peers

Nannan Wang
Comparison fields: 5 of 160
  • Computer Vision and Pattern Recognition 4.0k
  • Artificial Intelligence 804
  • Signal Processing 627
  • Media Technology 559
  • Aerospace Engineering 416
Replace Zhiding Yu with:
Zhiding Yu United States
Hao Tang China
Yan Yan China
Zhaoxiang Zhang China
Xin Yu China
Lizhuang Ma China
Hanzi Wang China
Chu‐Song Chen Taiwan
Charles R. Dyer United States
Munawar Hayat Australia
Zhiding Yu United States View profile →
Citations per field, relative to Nannan Wang
Nannan Wang · 1×
Citations per year, relative to Nannan Wang
Nannan Wang · 1×

Countries citing papers authored by Nannan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nannan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nannan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Nannan Wang. A scholar is included among the top collaborators of Nannan 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 Nannan Wang. Nannan 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 4
6 2
7 5
8 1
9 4
10 16
11 2
12 15
13 7
14 21
15 8
16 3
17 9
18 17
19 43
20 16

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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