Qingxiang Wang

672 total citations
57 papers, 346 citations indexed

About

Qingxiang Wang is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Qingxiang Wang has authored 57 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Experimental and Cognitive Psychology, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Qingxiang Wang's work include Emotion and Mood Recognition (18 papers), Face Recognition and Perception (5 papers) and Face recognition and analysis (4 papers). Qingxiang Wang is often cited by papers focused on Emotion and Mood Recognition (18 papers), Face Recognition and Perception (5 papers) and Face recognition and analysis (4 papers). Qingxiang Wang collaborates with scholars based in China and United States. Qingxiang Wang's co-authors include Jiayu Ye, Gang Fu, Wentao Li, Liang Hu, Wentao Li, Xin Liu, Hao Chen, Zhiling Guo, Qi Chen and Zhengjia Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Advanced Energy Materials.

In The Last Decade

Qingxiang Wang

45 papers receiving 333 citations

Peers

Qingxiang Wang
Comparison fields: 5 of 113
  • Experimental and Cognitive Psychology 135
  • Social Psychology 78
  • Artificial Intelligence 58
  • Cognitive Neuroscience 53
  • Applied Psychology 42
Replace Zhenyu Liu with:
Zhenyu Liu China
Eun-Hye Jang South Korea
Rui Su China
Meng Du China
Shaojie Li China
Byung-Hoon Kim South Korea
Haifeng Chen China
Aarti Sathyanarayana United States
Alexander D. Walker United States
Huilin Zhu China
Zhenyu Liu China View profile →
Citations per field, relative to Qingxiang Wang
Qingxiang Wang · 1×
Citations per year, relative to Qingxiang Wang
Qingxiang Wang · 1×

Countries citing papers authored by Qingxiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingxiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingxiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingxiang Wang. A scholar is included among the top collaborators of Qingxiang 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 Qingxiang Wang. Qingxiang 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 2
2 2
3 0
4 0
5 0
6 0
7 0
8 0
9 2
10 0
11 4
12 2
13 6
14 8
15 3
16 14
17 25
18 22
19 7
20 12

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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