Hao Liao

1.1k citations
67 papers · 840 · h-index 17

Impact in

Papers in

Hao Liao

63 papers receiving 808 citations

Peers

Hao Liao
Comparison fields: 5 of 120
  • Statistical and Nonlinear Physics 273
  • Computer Networks and Communications 158
  • Artificial Intelligence 188
  • Information Systems 106
  • Polymers and Plastics 45
Replace Peng Shi with:
Peng Shi China
Zhongyuan Zhang China
Jianhong Lin China
Yiping Yao China
Tan Yang China
Osvaldo N. Oliveira Brazil
Xi Xiong China
Chuang Ma China
Hao Liao relative to Peng Shi China Peng Shi's profile →
Citations per field
00.5×4.3×
Peng Shi · 1×
Citations per year

Countries citing papers authored by Hao Liao

Since Specialization
Citations

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

Fields of papers citing papers by Hao Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 201467
3 201660
4 201448
5 201443
6 201038
7 201532
8 200729
9 202022
10 201022
11 202119
12 201719
13 202418
14 201517
15 201817
16 200917
17 201717
18 201916
19 201715
20 201814

About Hao Liao

Hao Liao is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems, Artificial Intelligence and Economics and Econometrics, having authored 67 papers that have together received 840 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (23 papers), Opinion Dynamics and Social Influence (21 papers), Recommender Systems and Techniques (12 papers), Peer-to-Peer Network Technologies (7 papers), Caching and Content Delivery (5 papers), Economic and Technological Innovation (5 papers), Metallic Glasses and Amorphous Alloys (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (273 citations), Computer Networks and Communications (158 citations), Artificial Intelligence (188 citations), Information Systems (106 citations) and Polymers and Plastics (45 citations). Hao Liao has collaborated with scholars based in China, Switzerland and Taiwan. Frequent co-authors include An Zeng, Mingyang Zhou, Rui Xiao, Duanbing Chen, Jinju Zheng, Zhuo-Ming Ren, Weiyou Yang, Yintong Wang, Jiandong Wang and Haiyan Chen. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Information Sciences, IEEE Transactions on Parallel and Distributed Systems, Complexity and PLoS ONE.

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