Chien‐Sing Lee

113 papers receiving 646 citations

Peers

Chien‐Sing Lee
Comparison fields: 5 of 86
  • Computer Science Applications 119
  • Signal Processing 135
  • Information Systems 209
  • Computer Networks and Communications 193
  • Artificial Intelligence 268
Replace Mohammed Akour with:
Mohammed Akour Jordan
Thomas Reichherzer United States
José Palazzo Moreira de Oliveira Brazil
Óscar Pedreira Spain
Craig W. Thompson United States
Michel Léonard Switzerland
David N. Chin United States
Ioannis Mavridis Greece
Jürgen Koenemann United States
Juan A. Lara Spain
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Citations per year

Countries citing papers authored by Chien‐Sing Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Sing Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Sing Lee. 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 Chien‐Sing Lee. The network helps show where Chien‐Sing Lee may publish in the future.

Co-authors

The 17 scholars most cited alongside Chien‐Sing Lee, 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 Chien‐Sing Lee Line = papers co-authored together Chien‐Sing Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201044
2 201143
3
Ontology Mapping and Merging through OntoDNA for Learning Object Reusability
200631
4 200529
5 200926
6 201225
7 200925
8 200523
9 201219
10
Scaffolding Students' Development of Creative Design Skills: A Curriculum Reference Model
201115
11 201215
12 201715
13 201214
14 201812
15 200412
16
Problem-solving in a Constructivist Environment.
199911
17 201211
18 201610
19
OntoDNA: ontology alignment results for OAEI 2007
200710
20
Developing a Disposition for Social Innovations: An Affective-Socio-Cognitive Co-Design Model.
20159

About Chien‐Sing Lee

Chien‐Sing Lee is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Developmental and Educational Psychology and Computer Science Applications, having authored 118 papers that have together received 709 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (29 papers), Advanced Database Systems and Queries (19 papers), Innovative Teaching and Learning Methods (18 papers), Data Management and Algorithms (13 papers), Educational Games and Gamification (11 papers), Service-Oriented Architecture and Web Services (10 papers), Open Education and E-Learning (9 papers) and Design Education and Practice (8 papers). The work is most often cited by research in Computer Science Applications (119 citations), Signal Processing (135 citations), Information Systems (209 citations), Computer Networks and Communications (193 citations) and Artificial Intelligence (268 citations). Chien‐Sing Lee has collaborated with scholars based in Malaysia, Taiwan and United States. Frequent co-authors include Su-Cheng Haw, K. Daniel Wong, Stephen B. Vardeman, Swee‐Huay Heng, Janet L. Kolodner, Murali Raman, Fang-Fang Chua, Yashwant Singh, Bo Jiang and Heru Agus Santoso. Their work appears in journals such as Educational Technology & Society, Knowledge-Based Systems, American Journal of Applied Sciences, Lecture notes in computer science and Journal of Network and Computer Applications.

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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