Weifa Liang

9.7k total citations · 2 hit papers
282 papers, 7.2k citations indexed

About

Weifa Liang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Weifa Liang has authored 282 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 240 papers in Computer Networks and Communications, 105 papers in Electrical and Electronic Engineering and 46 papers in Information Systems. Recurrent topics in Weifa Liang's work include IoT and Edge/Fog Computing (83 papers), Software-Defined Networks and 5G (62 papers) and Energy Efficient Wireless Sensor Networks (57 papers). Weifa Liang is often cited by papers focused on IoT and Edge/Fog Computing (83 papers), Software-Defined Networks and 5G (62 papers) and Energy Efficient Wireless Sensor Networks (57 papers). Weifa Liang collaborates with scholars based in Australia, China and Hong Kong. Weifa Liang's co-authors include Zichuan Xu, Wenzheng Xu, Mike Jia, Xiaohua Jia, Song Guo, Yu Ma, Meitian Huang, Qiufen Xia, Xiaojiang Ren and Jiannong Cao and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and Information Sciences.

In The Last Decade

Weifa Liang

271 papers receiving 7.1k citations

Hit Papers

Optimal Cloudlet Placement and User to Cloudlet Allocatio... 2015 2026 2018 2022 2015 2015 100 200 300

Peers

Weifa Liang
Comparison fields: 5 of 92
  • Computer Networks and Communications 5.5k
  • Electrical and Electronic Engineering 3.2k
  • Information Systems 1.2k
  • Aerospace Engineering 735
  • Computer Vision and Pattern Recognition 543
Replace Songtao Guo with:
Songtao Guo China
Ivan Stojmenović Canada
Wei Ni Australia
Kwang‐Cheng Chen Taiwan
Chunsheng Zhu China
Nguyen H. Tran South Korea
Carla Fabiana Chiasserini Italy
Hongfang Yu China
Huaming Wu China
Fangchun Yang China
Songtao Guo China View profile →
Citations per field, relative to Weifa Liang
Weifa Liang · 1×
Citations per year, relative to Weifa Liang
Weifa Liang · 1×

Countries citing papers authored by Weifa Liang

Since Specialization
Citations

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

Fields of papers citing papers by Weifa Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifa Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Weifa Liang. A scholar is included among the top collaborators of Weifa Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weifa Liang. Weifa Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 9
3 7
4 2
5 4
6 8
7 23
8 13
9 14
10 3
11 34
12 40
13 6
14 33
15 5
16 35
17 10
18 1
19 17
20
Finding the k Most Vital Edges with Respect to Minimum Spanning Trees for k=2 and 3.
1

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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