Linlan Liu

519 citations
57 papers · 347 · h-index 11

Impact in

Papers in

Linlan Liu

51 papers receiving 320 citations

Peers

Linlan Liu
Comparison fields: 5 of 53
  • Computer Networks and Communications 229
  • Ocean Engineering 66
  • Software 15
  • Electrical and Electronic Engineering 180
  • Urban Studies 11
Replace Yongsheng Yang with:
Yongsheng Yang China
Jiayi Cao China
Joaquín Cortez Mexico
Junfeng Xu China
Dina S. Deif Egypt
Daniele Munaretto Italy
Javier Poncela Spain
John McEachen United States
Anuj Sehgal Germany
Linlan Liu relative to Yongsheng Yang China Yongsheng Yang's profile →
Citations per field
00.5×10×14×
Yongsheng Yang · 1×
Citations per year

Countries citing papers authored by Linlan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Linlan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201758
2 201926
3 200924
4 201922
5 200118
6 200914
7 200613
8 200913
9 201112
10 201212
11 200911
12 20209
13 20109
14 20088
15 20217
16 20107
17 20136
18 20176
19 20216
20 20244

About Linlan Liu

Linlan Liu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Artificial Intelligence and Urban Studies, having authored 57 papers that have together received 347 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (23 papers), Complex Network Analysis Techniques (16 papers), Indoor and Outdoor Localization Technologies (12 papers), Opportunistic and Delay-Tolerant Networks (10 papers), Advanced Computing and Algorithms (9 papers), Underwater Vehicles and Communication Systems (8 papers), Advanced Graph Neural Networks (7 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Computer Networks and Communications (229 citations), Ocean Engineering (66 citations), Software (15 citations), Electrical and Electronic Engineering (180 citations) and Urban Studies (11 citations). Linlan Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jian Shu, Song Liu, Gang Hu, Yubin Chen, Limin Sun, Sheng Zhang, Jian Shu, Xin Fan, Ronglei Zhang and Limin Sun. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, Connection Science, Aerosol Science and Technology and IEEE Transactions on Computational Social Systems.

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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