Hongjin Liang

513 citations
22 papers · 274 indexed · h-index 11
Topics
Distributed systems and fault tolerance (13 papers)Logic, programming, and type systems (8 papers)Parallel Computing and Optimization Techniques (7 papers)
Partner nations
ChinaUnited States

In The Last Decade

Hongjin Liang

21 papers receiving 269 citations

Peers

Hongjin Liang
Comparison fields: 5 of 48
  • Computer Networks and Communications 164
  • Artificial Intelligence 162
  • Hardware and Architecture 82
  • Computational Theory and Mathematics 72
  • Rheumatology 24
Replace Jean Privat with:
Jean Privat France
Gheorghe Ştefănescu Romania
Mathieu Baudet France
Georgios D. Dimou United States
Henri‐Pierre Charles France
Włodzimierz Bielecki Poland
Adriana Compagnoni United States
L. Carter United States
Dominik Kempa Finland
Bo Liao China
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Citations per field
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Countries citing papers authored by Hongjin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hongjin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjin Liang. A scholar is included among the top collaborators of Hongjin Liang 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 Hongjin Liang. Hongjin Liang 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
#WorkIndexed citations
1 1
2 0
3 2
4
Genetic estimation of correlations between circulating glutamine and cancer.
1
5 4
6 5
7 16
8 15
9 13
10 12
11 27
12 4
13 32
14
Refinement Verification of Concurrent Programs and Its Applications
2
15 15
16 19
17 46
18 2
19 28
20 1

About Hongjin Liang

Hongjin Liang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 22 papers that have together received 274 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (13 papers), Logic, programming, and type systems (8 papers) and Parallel Computing and Optimization Techniques (7 papers). The work is most often cited by research in Hardware and Architecture (82 citations), Computer Networks and Communications (164 citations) and Artificial Intelligence (162 citations). Hongjin Liang has collaborated with scholars based in China and United States. Frequent co-authors include Xinyu Feng, Zhong Shao, Xiaoling Zhu, Qing Yu Zeng, Xiaolan Chang, Peng Jian-hua, Xuhong Song, Jia Huo, Xin Chen and Liping Li. Their work appears in journals such as PLoS ONE, Scientific Reports and FEBS Letters.

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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