Haibo Li

405 total citations
35 papers, 213 citations indexed

About

Haibo Li is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Haibo Li has authored 35 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Haibo Li's work include Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (4 papers) and Advanced Data Compression Techniques (3 papers). Haibo Li is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (4 papers) and Advanced Data Compression Techniques (3 papers). Haibo Li collaborates with scholars based in China, Sweden and United States. Haibo Li's co-authors include Robert Forchheimer, Shafiq ur Réhman, Li Liu, Alaa Halawani, Jiong Sun, Hui Xu, Shipeng Xie, Xuewu Chen, Zhihan Lv and Wenze Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Electron Devices.

In The Last Decade

Haibo Li

30 papers receiving 199 citations

Peers

Haibo Li
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 79
  • Computer Networks and Communications 60
  • Human-Computer Interaction 51
  • Cognitive Neuroscience 37
  • Electrical and Electronic Engineering 31
Replace Dominique Houzet with:
Dominique Houzet France
Kai-Hsiang Lin Taiwan
Gengming Zhu China
Chaabane Djéraba France
Yunfei Liu China
Jianming Wu Japan
Sei Naito Japan
Noura A. Semary Egypt
Shuhang Wu China
Dominique Houzet France View profile →
Citations per field, relative to Haibo Li
Haibo Li · 1×
Citations per year, relative to Haibo Li
Haibo Li · 1×

Countries citing papers authored by Haibo Li

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Li. A scholar is included among the top collaborators of Haibo Li 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 Haibo Li. Haibo Li 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 0
2 0
3 4
4 3
5 8
6
Elastic computing resource management mechanism for high-energy physics cloud platform
1
7 1
8 1
9 3
10 9
11 1
12 17
13 1
14
MERTS: A more efficient real-time traffic support scheme for Content Centric Networking
2
15 11
16 5
17 6
18 24
19
Principal component video coding for simple decoding on mobile devices
1
20
Trellis-based reconstruction in Wyner-Ziv codec for video
0

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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