Guowei Wu

4.4k citations
208 papers · 3.4k · h-index 32

Impact in

Papers in

Guowei Wu

191 papers receiving 3.3k citations

Peers

Guowei Wu
Comparison fields: 5 of 99
  • Computer Networks and Communications 1.9k
  • Electrical and Electronic Engineering 1.6k
  • Information Systems 418
  • Artificial Intelligence 546
  • Transportation 97
Replace Bang Wang with:
Bang Wang China
Degan Zhang China
Fabrizio Granelli Italy
Yun Li China
Muhammad Awais Javed Pakistan
Zhiwei Zhao China
Jalel Ben‐Othman France
JaeSeung Song South Korea
Sangheon Pack South Korea
Xiangming Wen China
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Citations per field
00.5×1.6×
Bang Wang · 1×
Citations per year

Countries citing papers authored by Guowei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guowei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017189
2 2017109
3 202089
4 201883
5 201681
6 201180
7 201780
8 201979
9 201479
10 201676
11 201773
12 201973
13 201567
14 202060
15 201858
16 201657
17 201656
18 201850
19 202149
20 201847

About Guowei Wu

Guowei Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 208 papers that have together received 3.4k indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (38 papers), Energy Efficient Wireless Sensor Networks (37 papers), Caching and Content Delivery (28 papers), Software-Defined Networks and 5G (25 papers), Wireless Power Transfer Systems (23 papers), Privacy-Preserving Technologies in Data (22 papers), IoT and Edge/Fog Computing (21 papers) and Mobile Ad Hoc Networks (21 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Electrical and Electronic Engineering (1.6k citations), Information Systems (418 citations), Artificial Intelligence (546 citations) and Transportation (97 citations). Guowei Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chi Lin, Lin Yao, Chi Lin, Jing Deng, Lei Wang, Mohammad S. Obaidat, Zichuan Xu, Houbing Song, Haipeng Dai and Chang Wu Yu. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Dependable and Secure Computing, Journal of Systems and Software, IEEE/ACM Transactions on Networking and Computer Networks.

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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