Wei Qiu

665 citations
48 papers · 389 indexed · h-index 8
Topics
Online Learning and Analytics (3 papers)Topic Modeling (3 papers)Reinforcement Learning in Robotics (3 papers)

In The Last Decade

Wei Qiu

43 papers receiving 374 citations

Peers

Wei Qiu
Comparison fields: 5 of 100
  • Artificial Intelligence 164
  • Health, Toxicology and Mutagenesis 103
  • Atmospheric Science 43
  • Computer Vision and Pattern Recognition 38
  • Pollution 24
Replace Marco Antonio Aceves-Fernández with:
Marco Antonio Aceves-Fernández Mexico
Fazeel Abid Pakistan
Seyed Matin Malakouti Iran
Pranab Kumar Dhar Japan
Mina Rezaei Germany
Alexander Sergeev Russia
Antonio J. Tallón‐Ballesteros Spain
Junho Lee United States
Hui Guan United States
Wei Qiu relative to Marco Antonio Aceves-Fernández Mexico Marco Antonio Aceves-Fernández's profile →
Citations per field
00.5×12×
Marco Antonio Aceves-Fernández · 1×
Citations per year

Countries citing papers authored by Wei Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Qiu. A scholar is included among the top collaborators of Wei Qiu 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 Wei Qiu. Wei Qiu 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
#WorkIndexed citations
1 2
2 2
3 2
4 3
5 4
6 2
7 2
8 0
9
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents
1
10
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
3
11 12
12 30
13 6
14
Scheme design of SINS/GNSS autonomous navigation for launch vehicle
1
15 1
16 4
17 1
18
Globally convert adaptive quick back propagation algorithm based on neural network
1
19 1
20 6

About Wei Qiu

Wei Qiu is a scholar working on Computer Science Applications, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 48 papers that have together received 389 indexed citations. Recurring topics across this work include Online Learning and Analytics (3 papers), Topic Modeling (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (103 citations), Artificial Intelligence (164 citations) and Neurology (22 citations). Wei Qiu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Shu Tao, Yuan Liu, Han Dou, Biao Chang, Mosha Chen, Fei Huang, Chuanqi Tan, Rui Wang, Zhutian Yang and Hongjian Sun. Their work appears in journals such as The Science of The Total Environment, Sensors and BMC Public Health.

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

Rankless by CCL
2026