Dan Wu

68 papers receiving 3.0k citations

Dan Wu's Hit Papers

FarSense 2019 · 319 citations
3190+3+6Years since publication100200300

Peers

Dan Wu
Comparison fields: 5 of 128
  • Signal Processing 580
  • Pollution 449
  • Industrial and Manufacturing Engineering 303
  • Computer Networks and Communications 756
  • Electrical and Electronic Engineering 1.7k
Replace Xuemei Guo with:
Xuemei Guo China
Joon Huang Chuah Malaysia
Hanqing Wang China
Egidio De Benedetto Italy
Kaiming Li China
Rui Min China
Jiaheng Liu China
Pengyu Zhang China
Yanlin Li China
Saifur Rahman Saudi Arabia
Dan Wu relative to Xuemei Guo China Xuemei Guo's profile →
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Citations per year

Countries citing papers authored by Dan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human respiration detection with commodity wifi devices
Hit paper breakdown →
2016372
2
FarSense
Hit paper breakdown →
2019319
3 2017182
4 2018163
5 2020156
6 2017155
7 2016154
8 2018151
9 2019134
10 2020115
11 2021101
12 202087
13 201761
14 200561
15 202160
16 202156
17 201555
18 202251
19 201849
20 201545

About Dan Wu

Dan Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Water Science and Technology, Signal Processing and Ocean Engineering, having authored 72 papers that have together received 3.0k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (25 papers), Millimeter-Wave Propagation and Modeling (9 papers), Wireless Networks and Protocols (8 papers), Fecal contamination and water quality (8 papers), Speech and Audio Processing (7 papers), Microplastics and Plastic Pollution (6 papers), Groundwater flow and contamination studies (5 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Signal Processing (580 citations), Pollution (449 citations), Industrial and Manufacturing Engineering (303 citations), Computer Networks and Communications (756 citations) and Electrical and Electronic Engineering (1.7k citations). Dan Wu has collaborated with scholars based in China, France and United States. Frequent co-authors include Daqing Zhang, Youwei Zeng, Ruiyang Gao, Meiping Tong, Hyunjung Kim, Tao Gu, Jie Xiong, Hao Wang, Enze Yi and Lei He. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Water Research, Environmental Pollution, IEEE Transactions on Mobile Computing and Environmental Science & Technology.

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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