Hualiang Chen

596 citations
56 papers · 408 · h-index 11

Impact in

Papers in

Hualiang Chen

51 papers receiving 385 citations

Peers

Hualiang Chen
Comparison fields: 5 of 98
  • Computer Networks and Communications 100
  • Endocrinology 22
  • Earth-Surface Processes 25
  • Parasitology 23
  • Atmospheric Science 60
Replace Mike Shand with:
Mike Shand United Kingdom
Lutz Hamel United States
Seonghan Kim South Korea
Xiaofang Wang China
Zhihong Chen China
Qing Fang Japan
Oleg A. Markelov Russia
Daniel Citron United States
Taylor United Kingdom
Liyan Li China
Hualiang Chen relative to Mike Shand United Kingdom Mike Shand's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hualiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hualiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200860
2 201435
3 201435
4 201826
5 202226
6 200917
7 201817
8 201413
9 201512
10 201111
11 202210
12 20209
13
[Species identification in 5 imported cases previously diagnosed as Vivax malaria by parasitological and nested PCR techniques].
20139
14
Mechanical Behaviors of Asphalt Mixtures in Salt-wet-heat Cycling
20168
15 20168
16 20228
17 20218
18 20227
19 20147
20 20186

About Hualiang Chen

Hualiang Chen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Public Health, Environmental and Occupational Health, Infectious Diseases and Artificial Intelligence, having authored 56 papers that have together received 408 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (10 papers), Advanced MIMO Systems Optimization (10 papers), Malaria Research and Control (9 papers), Wireless Communication Security Techniques (5 papers), Cognitive Radio Networks and Spectrum Sensing (4 papers), Mosquito-borne diseases and control (4 papers), Seismic Imaging and Inversion Techniques (3 papers) and Parasites and Host Interactions (3 papers). The work is most often cited by research in Computer Networks and Communications (100 citations), Endocrinology (22 citations), Earth-Surface Processes (25 citations), Parasitology (23 citations) and Atmospheric Science (60 citations). Hualiang Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yueming Cai, Dan Wu, Xiaoliang Zheng, Linong Yao, Ping Fu, Jianqiang Yang, Kexin Liu, Chaolu Yi, Bin Liu and Shijie Li. Their work appears in journals such as Applied Energy, American Journal of Tropical Medicine and Hygiene, Frontiers in Public Health, Microbiology Spectrum and International Journal of Machine Learning and Cybernetics.

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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