Wei Dong

5.1k citations
246 papers · 3.5k · h-index 31

Impact in

Papers in

Wei Dong

231 papers receiving 3.4k citations

Peers

Wei Dong
Comparison fields: 5 of 172
  • Computer Networks and Communications 1.6k
  • Neuropsychology and Physiological Psychology 37
  • Hardware and Architecture 142
  • Electrical and Electronic Engineering 1.0k
  • Computer Science Applications 76
Replace Paolo Napoletano with:
Paolo Napoletano Italy
Li-Minn Ang Australia
Shervin Shirmohammadi Canada
Amy Loutfi Sweden
Kah Phooi Seng Malaysia
R. Badlishah Ahmad Malaysia
Alessandra Flammini Italy
Xianglong Liu China
Petros Spachos Canada
Wei Dong relative to Paolo Napoletano Italy Paolo Napoletano's profile →
Citations per field
00.5×7.9×
Paolo Napoletano · 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 246 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004345
2 2016135
3 2011131
4 200992
5 201982
6 200873
7 201966
8 201256
9 202054
10 201553
11 201749
12 201447
13 202145
14 201044
15 201343
16 201340
17 201039
18 201538
19 201838
20 201038

About Wei Dong

Wei Dong is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 246 papers that have together received 3.5k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (73 papers), Mobile Ad Hoc Networks (39 papers), IoT and Edge/Fog Computing (31 papers), Energy Harvesting in Wireless Networks (26 papers), Context-Aware Activity Recognition Systems (22 papers), Wireless Networks and Protocols (19 papers), Opportunistic and Delay-Tolerant Networks (18 papers) and IoT Networks and Protocols (17 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Neuropsychology and Physiological Psychology (37 citations), Hardware and Architecture (142 citations), Electrical and Electronic Engineering (1.0k citations) and Computer Science Applications (76 citations). Wei Dong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yi Gao, Jiajun Bu, Chun Chen, Louis Bherer, William T. Greenough, Stanley J. Colcombe, Arthur F. Kramer, Xue Liu, Yuan He and Jiliang Wang. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, ACM Transactions on Sensor Networks, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and IEEE Internet of Things Journal.

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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