Wen Qi

3.0k citations
81 papers · 2.1k indexed · 1 hit paper · h-index 26

Wen Qi

74 papers receiving 2.1k citations

Hit Papers

Multi-Sensor Guided Hand Gesture Recognition for a Teleop...185202120262022202450100150

Peers

Wen Qi
Comparison fields: 5 of 127
  • Human-Computer Interaction 295
  • Control and Systems Engineering 615
  • Computer Vision and Pattern Recognition 502
  • Biomedical Engineering 762
  • Rehabilitation 97
Replace Fulvio Mastrogiovanni with:
Fulvio Mastrogiovanni Italy
Yingbai Hu China
Mohsin Jamil Pakistan
Emanuele Menegatti Italy
Naoyuki Kubota Japan
Rui Yan China
Bin Fang China
Andrea Maria Zanchettin Italy
Yasuhisa Hirata Japan
Zeungnam Bien South Korea
Wen Qi relative to Fulvio Mastrogiovanni Italy Fulvio Mastrogiovanni's profile →
Citations per field
00.5×3.0×
Fulvio Mastrogiovanni · 1×
Citations per year

Countries citing papers authored by Wen Qi

Since Specialization
Citations

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

Fields of papers citing papers by Wen Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wen Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wen Qi Line = papers co-authored together Wen Qi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20252
3 20241
4 20240
5 202411
6 20249
7 20243
8 20233
9 202359
10 202328
11 20231
12 202221
13 202210
14 202215
15
Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Networkbreakdown →
2021185
16 202160
17 20213
18 20210
19 20061
20 20042

About Wen Qi

Wen Qi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Teleoperation and Haptic Systems (14 papers), Muscle activation and electromyography studies (10 papers), Hand Gesture Recognition Systems (10 papers), Context-Aware Activity Recognition Systems (9 papers), Soft Robotics and Applications (8 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Gaze Tracking and Assistive Technology (7 papers). The work is most often cited by research in Human-Computer Interaction (295 citations), Control and Systems Engineering (615 citations) and Computer Vision and Pattern Recognition (502 citations). Wen Qi has collaborated with scholars based in China, Italy and Germany. Frequent co-authors include Hang Su, Andréa Aliverti, Elena De Momi, Giancarlo Ferrigno, Salih Ertug Ovur, Chenguang Yang, Yingbai Hu, Zhijun Li, Longbin Zhang and Aldo Marzullo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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