Pei-Ju Lee

520 total citations
26 papers, 373 citations indexed

About

Pei-Ju Lee is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Pei-Ju Lee has authored 26 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Pei-Ju Lee's work include Human-Automation Interaction and Safety (3 papers), Technology Adoption and User Behaviour (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Pei-Ju Lee is often cited by papers focused on Human-Automation Interaction and Safety (3 papers), Technology Adoption and User Behaviour (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Pei-Ju Lee collaborates with scholars based in Taiwan, United States and Israel. Pei-Ju Lee's co-authors include Ya‐Han Hu, Shin‐Yuan Hung, She-I Chang, David C. Yen, Yi-Chih Hsieh, Michael Lewis, Peng-Sheng You, Shih‐Yi Chien, Katia Sycara and Ting-Yi Wu and has published in prestigious journals such as Journal of the Association for Information Systems, Applied Sciences and International Journal of Human-Computer Studies.

In The Last Decade

Pei-Ju Lee

21 papers receiving 348 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pei-Ju Lee Taiwan 10 113 102 69 59 37 26 373
Ahmad Fadhil Yusof Malaysia 10 49 0.4× 104 1.0× 107 1.6× 33 0.6× 10 0.3× 33 387
Stefano Bromuri Switzerland 14 44 0.4× 250 2.5× 16 0.2× 18 0.3× 71 1.9× 53 567
Meng-Chew Leow Malaysia 6 48 0.4× 57 0.6× 93 1.3× 9 0.2× 7 0.2× 29 307
Xavier Ferré Spain 10 41 0.4× 95 0.9× 45 0.7× 31 0.5× 5 0.1× 30 464
Galal H. Galal‐Edeen Egypt 11 70 0.6× 63 0.6× 39 0.6× 88 1.5× 2 0.1× 37 496
Paweł Weichbroth Poland 11 60 0.5× 67 0.7× 61 0.9× 27 0.5× 2 0.1× 53 415
Phillip Olla United States 11 46 0.4× 16 0.2× 49 0.7× 22 0.4× 11 0.3× 32 328
Peng-Ting Chen Taiwan 7 131 1.2× 42 0.4× 121 1.8× 63 1.1× 3 0.1× 8 379
Thiam Kian Chiew Malaysia 11 21 0.2× 87 0.9× 45 0.7× 73 1.2× 9 0.2× 31 489
Stephen Kimani Italy 13 70 0.6× 51 0.5× 48 0.7× 11 0.2× 3 0.1× 47 434

Countries citing papers authored by Pei-Ju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Ju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Ju 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 Pei-Ju Lee. The network helps show where Pei-Ju Lee may publish in the future.

Co-authorship network of co-authors of Pei-Ju Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Ju Lee. A scholar is included among the top collaborators of Pei-Ju 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 Pei-Ju Lee. Pei-Ju Lee 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
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Sun, Yukai, et al.. (2024). Hotel Rating Prediction System Based on Time Factors. Journal of Organizational and End User Computing. 36(1). 1–29.
3.
Chen, Kuan‐Yu, et al.. (2023). Poster:Stock Price Prediction Using Machine Learning. 7. 1067–1068. 1 indexed citations
4.
Sung, Sheng‐Feng, et al.. (2022). Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing. Frontiers in Cardiovascular Medicine. 9. 941237–941237. 5 indexed citations
5.
Lee, Pei-Ju & Ting-Yi Wu. (2022). Mining relations between personality traits and learning styles. Information Processing & Management. 59(5). 103045–103045. 11 indexed citations
6.
Hu, Ya‐Han, et al.. (2020). Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques. CIN Computers Informatics Nursing. 38(8). 415–423. 31 indexed citations
7.
Su, Yu-Hsiang, et al.. (2020). A Natural Language Processing Approach to Automated Highlighting of New Information in Clinical Notes. Applied Sciences. 10(8). 2824–2824. 4 indexed citations
8.
Lee, Pei-Ju, et al.. (2018). Cyberbullying Detection on Social Network Services. Journal of the Association for Information Systems. 4 indexed citations
9.
Chien, Shih‐Yi, Yiling Lin, Pei-Ju Lee, et al.. (2018). Attention allocation for human multi-robot control: Cognitive analysis based on behavior data and hidden states. International Journal of Human-Computer Studies. 117. 30–44. 23 indexed citations
10.
Lee, Pei-Ju, Peng-Sheng You, Yu-Chih Huang, & Yi-Chih Hsieh. (2017). Inconsistency detection and data fusion in USAR task. Engineering Computations. 34(1). 18–32. 1 indexed citations
11.
You, Peng-Sheng, Pei-Ju Lee, & Yi-Chih Hsieh. (2017). An artificial intelligent approach to the bicycle repositioning problems. Engineering Computations. 34(1). 145–163. 8 indexed citations
12.
Zadorozhny, Vladimir, Pei-Ju Lee, & Michael Lewis. (2015). Collaborative information sensemaking for multi-robot search and rescue. D-Scholarship@Pitt (University of Pittsburgh).
13.
Lin, Yi‐Hsien, et al.. (2015). Pectobacterium chrysanthemi as the dominant causal agent of bacterial soft rot in Oncidium “Grower Ramsey”. European Journal of Plant Pathology. 142(2). 331–343. 6 indexed citations
14.
Lee, Yung-Cheng, Yi-Chih Hsieh, Pei-Ju Lee, & Peng-Sheng You. (2014). Improvement of the ElGamal Based Remote Authentication Scheme Using Smart Cards. Journal of Applied Research and Technology. 12(6). 1063–1072. 9 indexed citations
15.
Hsu, Hui‐Chun, Yu‐Hung Chang, Pei-Ju Lee, et al.. (2013). Developing and Psychometric Testing of a Short-Form Problem Areas in Diabetes Scale in Chinese Patients. Journal of Nursing Research. 21(3). 212–217. 21 indexed citations
16.
Lee, Yung-Cheng, et al.. (2012). Cryptanalysis and Improvement of the Robust User Authentication Scheme for Wireless Sensor Networks. Open Journal Systems (Taiwan Association of Engineering and Technology Innovation). 2(4). 283–292. 4 indexed citations
17.
Wang, Huadong, Andreas Kolling, Paul Scerri, et al.. (2011). Scalable target detection for large robot teams. 363–370. 21 indexed citations
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Hung, Shin‐Yuan, She-I Chang, & Pei-Ju Lee. (2004). Critical Factors of ERP Adoption for Small- and Medium-Sized Enterprises: An Empirical Study. Journal of the Association for Information Systems. 28 indexed citations

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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