Tiong‐Thye Goh

1.7k total citations · 1 hit paper
50 papers, 1.1k citations indexed

About

Tiong‐Thye Goh is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Tiong‐Thye Goh has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 17 papers in Artificial Intelligence and 13 papers in Information Systems and Management. Recurrent topics in Tiong‐Thye Goh's work include Technology Adoption and User Behaviour (12 papers), Online Learning and Analytics (9 papers) and Digital Marketing and Social Media (9 papers). Tiong‐Thye Goh is often cited by papers focused on Technology Adoption and User Behaviour (12 papers), Online Learning and Analytics (9 papers) and Digital Marketing and Social Media (9 papers). Tiong‐Thye Goh collaborates with scholars based in New Zealand, China and Malaysia. Tiong‐Thye Goh's co-authors include Yang Bing, Jiaqi Yin, Kim‐Shyan Fam, Dawei Jin, Kinshuk Kinshuk, Chern Li Liew, Norazah Mohd Sukı, Boon‐Chong Seet, Nian‐Shing Chen and Yi Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

Tiong‐Thye Goh

44 papers receiving 1.0k citations

Hit Papers

Conversation Technology With Micro-Learning: The Impact o... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Tiong‐Thye Goh
Comparison fields: 5 of 94
  • Sociology and Political Science 390
  • Artificial Intelligence 289
  • Information Systems 270
  • Information Systems and Management 239
  • Computer Science Applications 179
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Citations per field, relative to Tiong‐Thye Goh
Tiong‐Thye Goh · 1×
Citations per year, relative to Tiong‐Thye Goh
Tiong‐Thye Goh · 1×

Countries citing papers authored by Tiong‐Thye Goh

Since Specialization
Citations

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

Fields of papers citing papers by Tiong‐Thye Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiong‐Thye Goh. 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 Tiong‐Thye Goh. The network helps show where Tiong‐Thye Goh may publish in the future.

Co-authorship network of co-authors of Tiong‐Thye Goh

This figure shows the co-authorship network connecting the top 25 collaborators of Tiong‐Thye Goh. A scholar is included among the top collaborators of Tiong‐Thye Goh 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 Tiong‐Thye Goh. Tiong‐Thye Goh 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
# Work Indexed citations
1 0
2 0
3 1
4 6
5 2
6 0
7 2
8 2
9 14
10
Conversation Technology With Micro-Learning: The Impact of Chatbot-Based Learning on Students’ Learning Motivation and Performance breakdown →
205
11 17
12 8
13 11
14 1
15 28
16 5
17 7
18
Getting Ready For Mobile Learning—Adaptation Perspective
49
19
Getting Ready For Mobile Learning
18
20 5

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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