Guangzhou Zeng

408 citations
42 papers · 254 indexed · h-index 7

Guangzhou Zeng

33 papers receiving 231 citations

Peers

Guangzhou Zeng
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 72
  • Artificial Intelligence 110
  • Computational Theory and Mathematics 40
  • Computer Networks and Communications 42
  • Information Systems 41
Replace Isabel Rosseti with:
Isabel Rosseti Brazil
D.J. Guan Taiwan
Ahcène Bendjoudi Algeria
Hitoshi Iima Japan
Lakshmi Rajamani India
D. Janaki Ram India
Pierre de Saqui‐Sannes France
Samir Ben Ahmed Tunisia
Thi Phuong Quyen Nguyen Taiwan
Guangzhou Zeng relative to Isabel Rosseti Brazil Isabel Rosseti's profile →
Citations per field
00.5×1.7×
Isabel Rosseti · 1×
Citations per year

Countries citing papers authored by Guangzhou Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Guangzhou Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Guangzhou Zeng, 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 Guangzhou Zeng Line = papers co-authored together Guangzhou Zeng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20141
2 20112
3 201110
4 20102
5 20101
6 20090
7 20092
8 20094
9 20090
10
Application of Artificial Immunology in Migrating Instance Integrity Detection
20080
11 20081
12
Study of agent-oriented basic mind
20070
13 20071
14
Integrity detection for migrating instance based on biology immune
20062
15
Implementing Fine Grain RBAC Model in Large Scale Information System
20061
16 20061
17 20043
18
An Efficient Control Mechanism of Mobile Agents
20028
19 198716
20 19858

About Guangzhou Zeng

Guangzhou Zeng is a scholar working on Software, Computer Networks and Communications and Management Information Systems, having authored 42 papers that have together received 254 indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (11 papers), Multi-Agent Systems and Negotiation (10 papers), Service-Oriented Architecture and Web Services (10 papers), Peer-to-Peer Network Technologies (7 papers), Business Process Modeling and Analysis (6 papers), Distributed and Parallel Computing Systems (6 papers), Access Control and Trust (5 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (72 citations), Artificial Intelligence (110 citations) and Computational Theory and Mathematics (40 citations). Guangzhou Zeng has collaborated with scholars based in China and United States. Frequent co-authors include Richard C. Dubes, Jie Cheng, Hong Liu, Liu Hong, Fei Liu, Xiaolin Wang, Xugang Wang, Xiaolin Wang, Rui Wang and Baojian Li. Their work appears in journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Pattern Recognition, Computers & Industrial Engineering and Journal of Classification.

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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