Shuhui Qu
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Juncheng LiSamarjit DasWei DaiFlorian MetzeTianshu ChuJie WangJames O. LeckieFanhong Zeng
- Topics
- Scheduling and Optimization Algorithms (8 papers)Anomaly Detection Techniques and Applications (4 papers)Speech and Audio Processing (3 papers)
- Journals
- Free Radical Biology and MedicineIEEE Transactions on Power SystemsFrontiers in Pharmacology
- Partner nations
- United StatesChinaMacao
In The Last Decade
Shuhui Qu
27 papers receiving 592 citations
Peers
Comparison fields: 5 of 101
- Signal Processing 231
- Artificial Intelligence 134
- Industrial and Manufacturing Engineering 128
- Computer Vision and Pattern Recognition 95
- Control and Systems Engineering 73
Countries citing papers authored by Shuhui Qu
This map shows the geographic impact of Shuhui Qu'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 Shuhui Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhui Qu more than expected).
Fields of papers citing papers by Shuhui Qu
This network shows the impact of papers produced by Shuhui Qu. 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 Shuhui Qu. The network helps show where Shuhui Qu may publish in the future.
Co-authorship network of co-authors of Shuhui Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuhui Qu. A scholar is included among the top collaborators of Shuhui Qu 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 Shuhui Qu. Shuhui Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 32 | |
| 7 | 3 | |
| 8 | 46 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | Real-Time Decision Support with Reinforcement Learning for Dynamic Flowshop Scheduling | 9 |
| 12 | 214 | |
| 13 | 102 | |
| 14 | 27 | |
| 15 | 20 | |
| 16 | 25 | |
| 17 | An Active Learning-Based Framework for Optimal Product Design Under Multiple Objectives | 1 |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 0 |
About Shuhui Qu
Shuhui Qu is a scholar working on Industrial and Manufacturing Engineering, Toxicology and Artificial Intelligence, having authored 28 papers that have together received 615 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (8 papers), Anomaly Detection Techniques and Applications (4 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Developmental Biology (58 citations), Signal Processing (231 citations) and Industrial and Manufacturing Engineering (128 citations). Shuhui Qu has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Juncheng Li, Samarjit Das, Wei Dai, Florian Metze, Wei Dai, Tianshu Chu, Jie Wang, James O. Leckie, Fanhong Zeng and Jie Wang. Their work appears in journals such as Free Radical Biology and Medicine, IEEE Transactions on Power Systems and Frontiers in Pharmacology.
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.