Haolin Liu

519 citations
37 papers · 346 · h-index 9

Impact in

Papers in

Haolin Liu

31 papers receiving 340 citations

Peers

Haolin Liu
Comparison fields: 5 of 48
  • Computer Networks and Communications 231
  • Computer Science Applications 28
  • Information Systems 56
  • Electrical and Electronic Engineering 140
  • Transportation 16
Replace Soochang Park with:
Soochang Park Hong Kong
Zhidu Li China
Abolfazl Diyanat Iran
Davide Carboni Italy
Julien Gedeon Germany
Hamid Reza Arkian Iran
Suchetana Chakraborty India
Ping Lang China
Asma Elmangoush Germany
Sardar Khaliq uz Zaman Pakistan
Haolin Liu relative to Soochang Park Hong Kong Soochang Park's profile →
Citations per field
00.5×6.2×
Soochang Park · 1×
Citations per year

Countries citing papers authored by Haolin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haolin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018104
2 201836
3 202033
4 201930
5 201723
6 202223
7 202216
8 201812
9 20209
10 20247
11 20246
12 20246
13 20255
14 20254
15 20244
16 20243
17 20183
18 20243
19 20203
20 20252

About Haolin Liu

Haolin Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Sociology and Political Science and Information Systems, having authored 37 papers that have together received 346 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Privacy-Preserving Technologies in Data (7 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Cloud Computing and Resource Management (5 papers), Blockchain Technology Applications and Security (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Privacy, Security, and Data Protection (4 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (231 citations), Computer Science Applications (28 citations), Information Systems (56 citations), Electrical and Electronic Engineering (140 citations) and Transportation (16 citations). Haolin Liu has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Zhetao Li, Anfeng Liu, Qingyong Deng, Yuxin Liu, Shiguo Wang, Shujuan Tian, Tingrui Pei, Jiang Zhu, Saiqin Long and Jianqi Li. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, IEEE Access and Sensors.

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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