Anqing Duan

24 papers receiving 230 citations

Peers

Anqing Duan
Comparison fields: 5 of 64
  • Control and Systems Engineering 99
  • Industrial and Manufacturing Engineering 38
  • Computer Vision and Pattern Recognition 65
  • Health Informatics 2
  • Biomedical Engineering 61
Replace Theodoros Stouraitis with:
Theodoros Stouraitis Germany
Arul Selvam Periyasamy Germany
Xiaoshan Gao China
Aaron Pereira Germany
Khelifa Baizid Italy
Philip Long United States
Marco Faroni Italy
Gavriel State United States
Marcin Szuster Poland
Tianyu Ren China
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Citations per year

Countries citing papers authored by Anqing Duan

Since Specialization
Citations

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

Fields of papers citing papers by Anqing Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anqing Duan, 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 Anqing Duan Line = papers co-authored together Anqing Duan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202228
2 202226
3 202423
4 202423
5 201817
6 202513
7 202211
8 201910
9 202310
10 20229
11 20258
12 20238
13 20237
14 20206
15 20196
16 20235
17 20225
18 20244
19 20164
20 20203

About Anqing Duan

Anqing Duan is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 236 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Robotic Mechanisms and Dynamics (5 papers), Soft Robotics and Applications (5 papers), Reinforcement Learning in Robotics (4 papers), Robotic Path Planning Algorithms (3 papers), Robotic Locomotion and Control (3 papers), Image and Object Detection Techniques (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Control and Systems Engineering (99 citations), Industrial and Manufacturing Engineering (38 citations), Computer Vision and Pattern Recognition (65 citations), Health Informatics (2 citations) and Biomedical Engineering (61 citations). Anqing Duan has collaborated with scholars based in Hong Kong, United Arab Emirates and United Kingdom. Frequent co-authors include David Navarro-Alarcón, Peng Zhou, Pai Zheng, Jiaming Qi, Lorenzo Rosasco, Daniele Pucci, Yong‐Ping Zheng, Daniele Calandriello, Chengxi Li and Chengxi Li. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, IEEE Robotics and Automation Letters, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Industrial Informatics.

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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