Zeng‐Wei Hong

1.2k citations
42 papers · 724 indexed · 1 hit paper · h-index 10

Zeng‐Wei Hong

39 papers receiving 692 citations

Hit Papers

Mitigating the Multicollinearity Problem and Its Machine ...299202220262023202450100150200250

Peers

Zeng‐Wei Hong
Comparison fields: 5 of 137
  • Computer Science Applications 110
  • Artificial Intelligence 183
  • Developmental and Educational Psychology 69
  • Information Systems 92
  • Computer Networks and Communications 88
Replace Camino Fernández with:
Camino Fernández Spain
M. M. Manohara Pai India
Radhika M. Pai India
Catarina Silva Portugal
Andrés Muñoz Spain
Tuğba Taşkaya Temizel Türkiye
Ricardo Araújo Brazil
Yaya Heryadi Indonesia
José María Gutiérrez Martínez Spain
Giovanni Delnevo Italy
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Citations per field
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Camino Fernández · 1×
Citations per year

Countries citing papers authored by Zeng‐Wei Hong

Since Specialization
Citations

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

Fields of papers citing papers by Zeng‐Wei Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20225
5
Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Reviewbreakdown →
2022299
6
Authoring Robot-Assisted Instructional Materials for Improving Learning Performance and Motivation in EFL Classrooms.
201672
7 20138
8 20116
9 20111
10 201113
11
An adaptive load balance allocation strategy for small antenna based wireless networks
20091
12 20092
13 20082
14 20080
15
An Agent Scenario Mechanism Supporting Human/Agent Interaction.
20062
16 20063
17 20054
18
An application-oriented Linux kernel customization for embedded systems
200423
19 20022
20 20021

About Zeng‐Wei Hong

Zeng‐Wei Hong is a scholar working on Information Systems, Computer Networks and Communications and Development, having authored 42 papers that have together received 724 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (7 papers), Advanced Software Engineering Methodologies (7 papers), Software System Performance and Reliability (5 papers), Robotics and Automated Systems (4 papers), Mobile Agent-Based Network Management (4 papers), Service-Oriented Architecture and Web Services (4 papers), Speech and dialogue systems (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Computer Science Applications (110 citations), Artificial Intelligence (183 citations) and Developmental and Educational Psychology (69 citations). Zeng‐Wei Hong has collaborated with scholars based in Taiwan, Malaysia and Japan. Frequent co-authors include Yen‐Lin Chen, Kai-Yi Chin, Wai Khuen Cheng, Jireh Yi-Le Chan, Khean Thye Bea, Seuk Wai Phoong, Yueh Min Huang, Neng-Chung Wang, Chin-Hsien Wu and Wei‐Tsong Lee. Their work appears in journals such as Expert Systems with Applications, Sensors and Information and Software Technology.

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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