Wei Dong

1.4k citations
91 papers · 924 · h-index 17

Impact in

Papers in

Wei Dong

80 papers receiving 901 citations

Peers

Wei Dong
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 338
  • Control and Systems Engineering 338
  • Aerospace Engineering 334
  • Geology 41
  • Computer Networks and Communications 111
Replace Elia Kaufmann with:
Elia Kaufmann Switzerland
Haoyao Chen China
Alan F. Lynch Canada
Xinhan Huang China
Yunlong Song Switzerland
Tae‐Yong Kuc South Korea
Xinghu Yu China
Lluís Ros Spain
Johan Thunberg Sweden
David Herrero‐Perez Spain
Wei Dong relative to Elia Kaufmann Switzerland Elia Kaufmann's profile →
Citations per field
00.5×5.7×
Elia Kaufmann · 1×
Citations per year

Countries citing papers authored by Wei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Wei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014114
2 200886
3 201645
4 202041
5 202037
6 201135
7 202234
8 202132
9 201330
10 202329
11 202228
12 201527
13 201626
14 202120
15 202019
16 202117
17 202316
18 201414
19 202114
20 202014

About Wei Dong

Wei Dong is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 91 papers that have together received 924 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (25 papers), Robotic Path Planning Algorithms (17 papers), Adaptive Control of Nonlinear Systems (11 papers), Advanced Vision and Imaging (10 papers), Underwater Vehicles and Communication Systems (7 papers), Distributed Control Multi-Agent Systems (7 papers), Guidance and Control Systems (7 papers) and 3D Surveying and Cultural Heritage (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (338 citations), Control and Systems Engineering (338 citations), Aerospace Engineering (334 citations), Geology (41 citations) and Computer Networks and Communications (111 citations). Wei Dong has collaborated with scholars based in China, Canada and Netherlands. Frequent co-authors include Xiangyang Zhu, Guoying Gu, Xinjun Sheng, Gang Chen, Han Ding, Han Ding, Sensen Liu, Yongjun Zhang, Ye Ding and Zhao Ma. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE/ASME Transactions on Mechatronics, Journal of Dynamic Systems Measurement and Control, Robotics and Autonomous Systems and Medicine.

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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