Chih How Bong

598 citations
20 papers · 311 indexed · h-index 8
Topics
Educational Technology and Assessment (5 papers)Advanced Text Analysis Techniques (4 papers)Innovative Teaching and Learning Methods (3 papers)

In The Last Decade

Chih How Bong

19 papers receiving 299 citations

Peers

Chih How Bong
Comparison fields: 5 of 69
  • Artificial Intelligence 105
  • Sociology and Political Science 81
  • Information Systems 56
  • Social Psychology 40
  • Management Information Systems 28
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Citations per field
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Citations per year

Countries citing papers authored by Chih How Bong

Since Specialization
Citations

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

Fields of papers citing papers by Chih How Bong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih How Bong. 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 Chih How Bong. The network helps show where Chih How Bong may publish in the future.

Co-authorship network of co-authors of Chih How Bong

This figure shows the co-authorship network connecting the top 25 collaborators of Chih How Bong. A scholar is included among the top collaborators of Chih How Bong 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 Chih How Bong. Chih How Bong 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 0
2 1
3 7
4 17
5 1
6 11
7
Developing an Automated Essay Scorer with Feedback (AESF) for Malaysian University English Test (MUET) : A Design-based Research Approach
3
8 2
9
Integrating Scientific Research: Theory and Design of Discovering Similar Constructs
4
10
Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method
4
11
Teachers’ Expectation and Acceptance of a Home-grown Networked Automated Essay Scorer with Feedback (AESF) for the Malaysian University English Test (MUET) Classroom
1
12 112
13 3
14
Automated Essay Scoring Feedback (AESF): An Innovative Writing Solution to the Malaysian University English Test (MUET)
2
15 77
16
An empirical study on CO2 emissions in ASEAN countries
2
17
A Transdisciplinary Approach to Construct Search and Integration
9
18 2
19 13
20 40

About Chih How Bong

Chih How Bong is a scholar working on Applied Psychology, Computer Science Applications and Artificial Intelligence, having authored 20 papers that have together received 311 indexed citations. Recurring topics across this work include Educational Technology and Assessment (5 papers), Advanced Text Analysis Techniques (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Computer Science Applications (26 citations), Information Systems and Management (25 citations) and Applied Psychology (18 citations). Chih How Bong has collaborated with scholars based in Malaysia, United States and Norway. Frequent co-authors include Kai R. Larsen, Øyvind Lund Martinsen, Jan Ketil Arnulf, K. Lakshmi Narayanan, Nung Kion Lee, Siaw San Hwang, Jingjing Li, Jintae Lee, Yongsheng Ma and Roman Lukyanenko. Their work appears in journals such as PLoS ONE, MIS Quarterly and Journal of the Association for Information Systems.

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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