Chien‐Sing Lee

154 total papers · 962 total citations
100 papers, 610 citations indexed

About

Chien‐Sing Lee is a scholar working on Artificial Intelligence, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Chien‐Sing Lee has authored 100 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 23 papers in Information Systems and 23 papers in Developmental and Educational Psychology. Recurrent topics in Chien‐Sing Lee's work include Semantic Web and Ontologies (21 papers), Innovative Teaching and Learning Methods (17 papers) and Advanced Database Systems and Queries (15 papers). Chien‐Sing Lee is often cited by papers focused on Semantic Web and Ontologies (21 papers), Innovative Teaching and Learning Methods (17 papers) and Advanced Database Systems and Queries (15 papers). Chien‐Sing Lee collaborates with scholars based in Malaysia, Taiwan and United States. Chien‐Sing Lee's co-authors include Su-Cheng Haw, Fang-Fang Chua, Stephen B. Vardeman, Swee‐Huay Heng, Janet L. Kolodner, Murali Raman, Yashwant Singh, Bo Jiang, Eric Tsui and Aida Mustapha and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Applied Soft Computing.

In The Last Decade

Chien‐Sing Lee

94 papers receiving 545 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chien‐Sing Lee 209 185 171 116 109 100 610
Joan Peckham 266 1.3× 162 0.9× 311 1.8× 145 1.3× 143 1.3× 37 662
Thomas Reichherzer 357 1.7× 171 0.9× 86 0.5× 49 0.4× 52 0.5× 44 598
Hisham M. Haddad 202 1.0× 298 1.6× 171 1.0× 141 1.2× 47 0.4× 69 603
Charles Severance 99 0.5× 185 1.0× 215 1.3× 28 0.2× 174 1.6× 72 673
Andriy Nikolov 351 1.7× 176 1.0× 124 0.7× 47 0.4× 128 1.2× 30 563
Sathiamoorthy Manoharan 152 0.7× 216 1.2× 190 1.1× 41 0.4× 64 0.6× 80 602
Yusep Rosmansyah 125 0.6× 174 0.9× 72 0.4× 53 0.5× 116 1.1× 91 521
Somnuk Phon-Amnuaisuk 307 1.5× 131 0.7× 153 0.9× 119 1.0× 105 1.0× 67 659
Maria Spichkova 158 0.8× 248 1.3× 82 0.5× 27 0.2× 60 0.6× 89 577
Suzanne W. Dietrich 220 1.1× 196 1.1× 238 1.4× 54 0.5× 100 0.9× 71 530

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-authorship network of co-authors of Chien‐Sing Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Sing Lee. A scholar is included among the top collaborators of Chien‐Sing Lee 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 Chien‐Sing Lee. Chien‐Sing Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026