Kefeng Wei

659 citations
25 papers · 574 · h-index 10

Impact in

Papers in

Kefeng Wei

24 papers receiving 563 citations

Peers

Kefeng Wei
Comparison fields: 5 of 64
  • Bioengineering 209
  • Electrical and Electronic Engineering 432
  • Biomedical Engineering 266
  • Polymers and Plastics 73
  • Computer Networks and Communications 83
Replace Iman Gamal Eldin Morsi with:
Iman Gamal Eldin Morsi Egypt
S. Arunkumar India
Vladimir Milovanović Serbia
Sung‐Soon Park South Korea
Linghui Zhu China
Mohd Nazim Mohtar Malaysia
Weijian Zheng United States
Kishor Kunal United States
Kefeng Wei relative to Iman Gamal Eldin Morsi Egypt Iman Gamal Eldin Morsi's profile →
Citations per field
00.5×2×3.3×
Iman Gamal Eldin Morsi · 1×
Citations per year

Countries citing papers authored by Kefeng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Kefeng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020173
2 201988
3 202087
4 201949
5 201932
6 201925
7 201924
8 201918
9 201617
10 201910
11 20209
12 20208
13 20208
14 20235
15 20205
16 20193
17 20162
18 20182
19 20192
20 20212

About Kefeng Wei

Kefeng Wei is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Bioengineering, Biomedical Engineering and Polymers and Plastics, having authored 25 papers that have together received 574 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (8 papers), Energy Efficient Wireless Sensor Networks (6 papers), IoT and Edge/Fog Computing (5 papers), Wireless Body Area Networks (4 papers), ZnO doping and properties (4 papers), Advanced Optical Network Technologies (3 papers), Transition Metal Oxide Nanomaterials (3 papers) and Optical Network Technologies (3 papers). The work is most often cited by research in Bioengineering (209 citations), Electrical and Electronic Engineering (432 citations), Biomedical Engineering (266 citations), Polymers and Plastics (73 citations) and Computer Networks and Communications (83 citations). Kefeng Wei has collaborated with scholars based in China and Mexico. Frequent co-authors include Dezhou Wei, Sikai Zhao, Lincong Zhang, Yanbai Shen, Pengfei Zhou, Yi Min Guo, Xin Jiang, Ang Li, Xiangxi Zhong and Wengang Liu. Their work appears in journals such as Vacuum, Applied Surface Science, Wireless Communications and Mobile Computing, Optical Fiber Technology and IEEE Transactions on Circuits & Systems II Express Briefs.

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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