Feng Wang

3.2k citations
149 papers · 2.5k · h-index 29

Impact in

Papers in

Feng Wang

133 papers receiving 2.4k citations

Peers

Feng Wang
Comparison fields: 5 of 122
  • Computer Networks and Communications 1.1k
  • Computer Vision and Pattern Recognition 486
  • General Engineering 26
  • Ocean Engineering 286
  • Safety, Risk, Reliability and Quality 116
Replace Satvir Singh with:
Satvir Singh India
Xiaolong Xu China
Abdellah Chehri Canada
Enrico Natalizio France
Imad Jawhar United Arab Emirates
Giovanni Pau Italy
A. B. M. Shawkat Ali Australia
Xu Cheng China
Mohamed Abid Tunisia
Feng Wang relative to Satvir Singh India Satvir Singh's profile →
Citations per field
00.5×10×13×
Satvir Singh · 1×
Citations per year

Countries citing papers authored by Feng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012168
2 2020109
3 201392
4
S4: small state and small stretch routing protocol for large wireless sensor networks
200777
5 201876
6 200870
7 201969
8 201065
9 201761
10 201958
11 201656
12 201855
13 201555
14 202054
15 201549
16 201948
17 201447
18 201546
19 201146
20 200744

About Feng Wang

Feng Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Information Systems, having authored 149 papers that have together received 2.5k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (23 papers), Caching and Content Delivery (19 papers), Image and Video Quality Assessment (18 papers), Indoor and Outdoor Localization Technologies (18 papers), Opportunistic and Delay-Tolerant Networks (14 papers), IoT and Edge/Fog Computing (11 papers), Energy Harvesting in Wireless Networks (11 papers) and Mobile Ad Hoc Networks (10 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computer Vision and Pattern Recognition (486 citations), General Engineering (26 citations), Ocean Engineering (286 citations) and Safety, Risk, Reliability and Quality (116 citations). Feng Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiangchuan Liu, Fangxin Wang, Xiaoqiang Ma, Xiaoyi Fan, Jinfang Jiang, Guangjie Han, Lifeng Sun, Lei Shu, Ryan Shea and Dan Wang. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, Tunnelling and Underground Space Technology, IEEE Transactions on Intelligent Transportation Systems and Vehicle System Dynamics.

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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