Ting Lie

13 papers receiving 482 citations

Peers

Ting Lie
Comparison fields: 5 of 114
  • Information Systems and Management 55
  • Communication 34
  • Management Information Systems 43
  • Information Systems 98
  • Artificial Intelligence 122
Replace Yanzhong Dang with:
Yanzhong Dang China
Robert P. Minch United States
May El Barachi United Arab Emirates
Christian Kittl Austria
Tatiana Gavrilova Russia
Paweł Weichbroth Poland
Kellie B. Keeling United States
Solomon Antony United States
David Klein Germany
Fatih Gürcan Türkiye
Ting Lie relative to Yanzhong Dang China Yanzhong Dang's profile →
Citations per field
00.5×4.8×
Yanzhong Dang · 1×
Citations per year

Countries citing papers authored by Ting Lie

Since Specialization
Citations

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

Fields of papers citing papers by Ting Lie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Lie. 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 Ting Lie. The network helps show where Ting Lie may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Advances in Intelligent Systems and Computing
2014289
2 200759
3 200844
4 201144
5 201423
6 201515
7 202013
8 201013
9
A Genetic Algorithm Enhanced by Dominance Properties for Single Machine Scheduling Problems with Setup costs
20115
10 20144
11 20074
12 20172
13
Coordinating Multiple Interdependent Projects in Innovative Product Development Programs
20081

About Ting Lie

Ting Lie is a scholar working on Sociology and Political Science, Social Psychology, Information Systems, Information Systems and Management and Communication, having authored 13 papers that have together received 516 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (5 papers), Technology Adoption and User Behaviour (3 papers), Knowledge Management and Sharing (2 papers), Customer Service Quality and Loyalty (2 papers), Software Engineering Techniques and Practices (2 papers), Digital Games and Media (1 paper), Imbalanced Data Classification Techniques (1 paper) and Online and Blended Learning (1 paper). The work is most often cited by research in Information Systems and Management (55 citations), Communication (34 citations), Management Information Systems (43 citations), Information Systems (98 citations) and Artificial Intelligence (122 citations). Ting Lie has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chihling Liu, Sing Kai Lo, Yu‐Chih Liu, Victor Chen, Chaochang Chiu, Yuchi Chen, Chien‐Lung Chan, James J. Jiang, Gary Klein and Sheng-Pao Shih. Their work appears in journals such as Behaviour and Information Technology, IEEE Transactions on Professional Communication, International Journal of Electronic Commerce, Technovation and Information & Management.

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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