Daibo Liu

1.4k citations
68 papers · 1.0k · h-index 20

Impact in

Papers in

Daibo Liu

66 papers receiving 995 citations

Peers

Daibo Liu
Comparison fields: 5 of 94
  • Computer Networks and Communications 404
  • Signal Processing 159
  • Human-Computer Interaction 53
  • Computer Vision and Pattern Recognition 189
  • Artificial Intelligence 258
Replace Huajie Shao with:
Huajie Shao United States
Xiaonan Guo United States
Yanchao Zhao China
Jochen Seitz Germany
Bodhi Priyantha United States
Beihong Jin China
Sandip Chakraborty India
Cristina Perfecto Spain
Tianzhang Xing China
Shaoen Wu United States
Daibo Liu relative to Huajie Shao United States Huajie Shao's profile →
Citations per field
00.5×
Huajie Shao · 1×
Citations per year

Countries citing papers authored by Daibo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Daibo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020104
2 202286
3 201953
4 202248
5 202438
6 201836
7 202432
8 201532
9 202030
10 201829
11 202127
12 202324
13 202024
14 202023
15 202222
16 202321
17 201621
18 202420
19 202220
20 202220

About Daibo Liu

Daibo Liu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (17 papers), Mobile Ad Hoc Networks (11 papers), User Authentication and Security Systems (11 papers), Indoor and Outdoor Localization Technologies (11 papers), Energy Harvesting in Wireless Networks (9 papers), Opportunistic and Delay-Tolerant Networks (8 papers), Biometric Identification and Security (6 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Computer Networks and Communications (404 citations), Signal Processing (159 citations), Human-Computer Interaction (53 citations), Computer Vision and Pattern Recognition (189 citations) and Artificial Intelligence (258 citations). Daibo Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongbo Jiang, Mengshu Hou, Zhu Xiao, Jiangchuan Liu, Siwang Zhou, Zhichao Cao, Jingyang Hu, Fanzi Zeng, Schahram Dustdar and Jun Luo. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, ACM Transactions on Sensor Networks, IEEE/ACM Transactions on Networking and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

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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