Qing Wu

1.6k total citations
63 papers, 1.2k citations indexed

About

Qing Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qing Wu has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Qing Wu's work include Robotic Mechanisms and Dynamics (7 papers), Context-Aware Activity Recognition Systems (7 papers) and IoT and Edge/Fog Computing (6 papers). Qing Wu is often cited by papers focused on Robotic Mechanisms and Dynamics (7 papers), Context-Aware Activity Recognition Systems (7 papers) and IoT and Edge/Fog Computing (6 papers). Qing Wu collaborates with scholars based in China, Hong Kong and United Kingdom. Qing Wu's co-authors include Shuai Li, Dechao Chen, Zeyu Chen, Xin Luo, Gang Xu, Faa‐Jeng Lin, Hao Lin, Lei Wang, Jinbo Xu and Tianming Zhou and has published in prestigious journals such as Nucleic Acids Research, IEEE Access and Sensors.

In The Last Decade

Qing Wu

54 papers receiving 1.2k citations

Peers

Qing Wu
Comparison fields: 5 of 126
  • Control and Systems Engineering 345
  • Artificial Intelligence 325
  • Computer Vision and Pattern Recognition 317
  • Molecular Biology 140
  • Computer Networks and Communications 128
Replace Yunze Cai with:
Yunze Cai China
Qing Song Singapore
Le Li China
Yi Liu China
Humberto Sossa Mexico
Zhanxing Zhu China
Yong Song China
Alexander Amini United States
Douglas Rodrigues Brazil
Zhidong Deng China
Yunze Cai China View profile →
Citations per field, relative to Qing Wu
Qing Wu · 1×
Citations per year, relative to Qing Wu
Qing Wu · 1×

Countries citing papers authored by Qing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Wu. A scholar is included among the top collaborators of Qing Wu 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 Qing Wu. Qing Wu 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 0
2 5
3 41
4 53
5 7
6 5
7 23
8 47
9 63
10 42
11
Improved Expressivity Through Dendritic Neural Networks.
9
12
The identification of Zwischgold and other metal foils on historical sculptures by handheld XRF spectrometry
6
13 16
14 22
15 13
16
The Vehicle Fault Diagnosis Research Based on T-S Model Fuzzy Neural Network
0
17 26
18
An adaptive requirement framework for SCUDW are middleware in ubiquitous computing
1
19
Trusted Component Model in Mobile Distributed Environment
0
20
Research and Application of a Trusted and Light Weight J2EE Framework
0

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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