Guoyan Huang

737 citations
49 papers · 499 indexed · h-index 11

Guoyan Huang

41 papers receiving 480 citations

Peers

Guoyan Huang
Comparison fields: 5 of 93
  • Environmental Engineering 212
  • Health, Toxicology and Mutagenesis 178
  • Software 35
  • Automotive Engineering 84
  • Signal Processing 56
Replace HwaMin Lee� with:
HwaMin Lee� South Korea
Jian Yu China
Chunlu Wang China
Qijun Gu United States
Endah Kristiani Taiwan
Guangqiu Huang China
Jin Fan China
Shouxu Jiang China
Jorge Garcı́a-Vidal Spain
Guoyan Huang relative to HwaMin Lee� South Korea HwaMin Lee�'s profile →
Citations per field
00.5×8.8×
HwaMin Lee� · 1×
Citations per year

Countries citing papers authored by Guoyan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Guoyan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20240
5 20244
6 20244
7 20230
8 20235
9 2021200
10 202120
11 201913
12 201914
13 201936
14 20183
15 20171
16 20173
17
IDENTIFYING IMPORTANT NODES IN COMPLEX SOFTWARE NETWORK BASED ON RIPPLE EFFECTS
20161
18
Application research of fuzzy logic theory in intrusion detection systems
20101
19
An algorithm for Clustering Uncertain Data Streams over Sliding Windows
20101
20
Collaborative Filtering Recommendation Algorithm Based on Multiple Ranked Choosing Domains
20101

About Guoyan Huang

Guoyan Huang is a scholar working on Software, Information Systems and Signal Processing, having authored 49 papers that have together received 499 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Complex Network Analysis Techniques (8 papers), Network Security and Intrusion Detection (7 papers), Data Mining Algorithms and Applications (6 papers), Software System Performance and Reliability (6 papers), Data Management and Algorithms (5 papers), Advanced Clustering Algorithms Research (5 papers) and Air Quality Monitoring and Forecasting (5 papers). The work is most often cited by research in Environmental Engineering (212 citations), Health, Toxicology and Mutagenesis (178 citations) and Software (35 citations). Guoyan Huang has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Jiadong Ren, Bing Zhang, Xinyi Li, Yongqiang Cheng, Haitao He, Qian Wang, Changzhen Hu, Huihui Ren, Jingyue Li and Chen Song. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and IEEE Access.

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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