Kewei Sha

2.0k citations
77 papers · 1.5k · h-index 21

Impact in

Papers in

Kewei Sha

70 papers receiving 1.4k citations

Peers

Kewei Sha
Comparison fields: 5 of 86
  • Computer Networks and Communications 1.1k
  • Information Systems 376
  • Signal Processing 169
  • Artificial Intelligence 348
  • Electrical and Electronic Engineering 531
Replace Suraj Sharma with:
Suraj Sharma India
Sghaier Guizani Saudi Arabia
Shalini Batra India
Sarmad Ullah Khan Pakistan
Sye Loong Keoh United Kingdom
Khalid Elgazzar Canada
Luca Veltri Italy
Isaac Woungang Canada
Asma Adnane United Kingdom
Yasuo Tan Japan
Kewei Sha relative to Suraj Sharma India Suraj Sharma's profile →
Citations per field
00.5×1.5×2.1×
Suraj Sharma · 1×
Citations per year

Countries citing papers authored by Kewei Sha

Since Specialization
Citations

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

Fields of papers citing papers by Kewei Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019197
2 2018172
3 2012135
4 2006104
5 200783
6 200580
7 200666
8 201666
9 201749
10 201047
11 200638
12 201729
13 201628
14 201924
15 202224
16 200823
17 201523
18 200823
19 201021
20 200820

About Kewei Sha

Kewei Sha is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (18 papers), IoT and Edge/Fog Computing (16 papers), Context-Aware Activity Recognition Systems (12 papers), Privacy-Preserving Technologies in Data (9 papers), Cloud Data Security Solutions (9 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers), Mobile Ad Hoc Networks (7 papers) and User Authentication and Security Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Information Systems (376 citations), Signal Processing (169 citations), Artificial Intelligence (348 citations) and Electrical and Electronic Engineering (531 citations). Kewei Sha has collaborated with scholars based in United States, China and Estonia. Frequent co-authors include Weisong Shi, T. Andrew Yang, Wei Wei, Sadegh Davari, Wei Wei, Zhiwei Wang, Loren Schwiebert, Yong Xi, Junzhao Du and Tao Zhang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Services Computing, IEEE Access, IEEE Transactions on Vehicular Technology and Wireless Personal Communications.

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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