Fan Liang

3.4k citations
46 papers · 2.2k indexed · 4 hit papers · h-index 16
Topics
IoT and Edge/Fog Computing (10 papers)Cloud Computing and Resource Management (8 papers)Advanced Data Storage Technologies (6 papers)

In The Last Decade

Fan Liang

44 papers receiving 2.1k citations

Hit Papers

A Survey on the Edge Computing for the Internet of Things201720262020202320172018202320222505007501000

Peers

Fan Liang
Comparison fields: 5 of 114
  • Computer Networks and Communications 1.2k
  • Information Systems 766
  • Artificial Intelligence 589
  • Electrical and Electronic Engineering 464
  • Computer Vision and Pattern Recognition 260
Replace Muhammad Bilal with:
Muhammad Bilal South Korea
William G. Hatcher United States
Christos Stergiou Greece
Claudio Savaglio Italy
Wu Yang China
Rasheed Hussain Russia
Walter de Donato Italy
Gyu Myoung Lee United Kingdom
JaeSeung Song South Korea
Omprakash Kaiwartya United Kingdom
Fan Liang relative to Muhammad Bilal South Korea Muhammad Bilal's profile →
Citations per field
00.5×6.1×
Muhammad Bilal · 1×
Citations per year

Countries citing papers authored by Fan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Fan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Liang. A scholar is included among the top collaborators of Fan 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 Fan Liang. Fan 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
#WorkIndexed citations
1 1
2 3
3 0
4
Smart Transportation: An Overview of Technologies and Applicationsbreakdown →
140
5 18
6 42
7
Digital Twin—Cyber Replica of Physical Things: Architecture, Applications and Future Research Directionsbreakdown →
106
8 19
9 20
10 29
11 2
12 135
13 6
14 23
15 3
16
Algorithm for error-tolerant delimitation for the protocol data unit based on best path searching
1
17 1
18 46
19 5
20 11

About Fan Liang

Fan Liang is a scholar working on Computer Networks and Communications, Software and Hardware and Architecture, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Cloud Computing and Resource Management (8 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (766 citations) and Artificial Intelligence (589 citations). Fan Liang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Wei Yu, William G. Hatcher, Chao Lu, Jie Lin, Xiaofei He, Xinyu Yang, David Griffith, Nada Golmie, Xing Liu and Xinwen Fu. Their work appears in journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026