Danwei Wang

4.4k citations
160 papers · 3.1k indexed · h-index 29

Danwei Wang

153 papers receiving 3.0k citations

Peers

Danwei Wang
Comparison fields: 5 of 89
  • Control and Systems Engineering 1.8k
  • Aerospace Engineering 1.0k
  • Computer Vision and Pattern Recognition 808
  • Automotive Engineering 207
  • Computer Networks and Communications 328
Replace Ivan Petrović with:
Ivan Petrović Croatia
Emmanuel G. Collins United States
Paolo Mercorelli Germany
Anthony Tzes Greece
A.B. Rad Hong Kong
Farshad Khorrami United States
Antonio Giannitrapani Italy
Alexander G. Loukianov Mexico
Ching‐Chih Tsai Taiwan
Aman Behal United States
Danwei Wang relative to Ivan Petrović Croatia Ivan Petrović's profile →
Citations per field
00.5×1.5×2.2×
Ivan Petrović · 1×
Citations per year

Countries citing papers authored by Danwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Danwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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19 201915
20 201832

About Danwei Wang

Danwei Wang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Geology and Automotive Engineering, having authored 160 papers that have together received 3.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (60 papers), Robotic Path Planning Algorithms (36 papers), Iterative Learning Control Systems (25 papers), Space Satellite Systems and Control (21 papers), Adaptive Control of Nonlinear Systems (18 papers), Indoor and Outdoor Localization Technologies (17 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Control and Dynamics of Mobile Robots (15 papers). The work is most often cited by research in Control and Systems Engineering (1.8k citations), Aerospace Engineering (1.0k citations), Computer Vision and Pattern Recognition (808 citations), Automotive Engineering (207 citations) and Computer Networks and Communications (328 citations). Danwei Wang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Chang Boon Low, Keliang Zhou, Eng Kee Poh, Chien Chern Cheah, Guangyan Xu, Yigang Wang, Senqiang Zhu, Bin Zhang, Baolin Wu and Yufeng Yue. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Automation Science and Engineering, Journal of Guidance Control and Dynamics, IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Aerospace and Electronic Systems.

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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