Chin‐Feng Lai

7.8k total citations · 3 hit papers
201 papers, 5.4k citations indexed

About

Chin‐Feng Lai is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Chin‐Feng Lai has authored 201 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Networks and Communications, 58 papers in Computer Vision and Pattern Recognition and 47 papers in Electrical and Electronic Engineering. Recurrent topics in Chin‐Feng Lai's work include IoT and Edge/Fog Computing (39 papers), Context-Aware Activity Recognition Systems (24 papers) and Multimedia Communication and Technology (20 papers). Chin‐Feng Lai is often cited by papers focused on IoT and Edge/Fog Computing (39 papers), Context-Aware Activity Recognition Systems (24 papers) and Multimedia Communication and Technology (20 papers). Chin‐Feng Lai collaborates with scholars based in Taiwan, China and United States. Chin‐Feng Lai's co-authors include Han‐Chieh Chao, Chun‐Wei Tsai, Athanasios V. Vasilakos, Yueh‐Min Huang, Min Chen, Laurence T. Yang, Jiafu Wan, Ming‐Chao Chiang, Ying-Hsun Lai and Wei-Che Chien and has published in prestigious journals such as Nature Communications, PLoS ONE and CHEST Journal.

In The Last Decade

Chin‐Feng Lai

196 papers receiving 5.1k citations

Hit Papers

Big data analytics: a survey 2014 2026 2018 2022 2015 2014 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin‐Feng Lai Taiwan 36 2.6k 1.3k 1.0k 910 808 201 5.4k
Antonio J. Jara Spain 34 2.6k 1.0× 1.0k 0.8× 1.0k 1.0× 760 0.8× 632 0.8× 149 4.3k
Anand Nayyar Vietnam 46 2.2k 0.8× 1.7k 1.3× 1.5k 1.5× 1000 1.1× 1.6k 2.0× 312 7.7k
Mohammed Aledhari United States 12 4.2k 1.6× 2.5k 1.9× 1.6k 1.5× 755 0.8× 1.2k 1.4× 25 6.5k
Sabrina Sicari Italy 20 3.4k 1.3× 956 0.7× 1.6k 1.6× 671 0.7× 866 1.1× 72 4.9k
Nicola Bui Italy 17 3.0k 1.2× 2.3k 1.7× 779 0.8× 693 0.8× 517 0.6× 52 5.4k
Charith Perera United Kingdom 28 3.4k 1.3× 1.2k 0.9× 1.4k 1.4× 1.6k 1.8× 899 1.1× 105 5.7k
Angelo Castellani Italy 11 2.9k 1.1× 2.1k 1.5× 764 0.7× 681 0.7× 463 0.6× 17 5.0k
Atif Alamri Saudi Arabia 44 2.2k 0.8× 1.4k 1.0× 1.7k 1.7× 979 1.1× 1.4k 1.8× 188 6.1k
Wazir Zada Khan Saudi Arabia 31 1.9k 0.7× 845 0.6× 1.4k 1.3× 551 0.6× 963 1.2× 104 4.4k
Gunasekaran Manogaran United States 45 1.6k 0.6× 734 0.5× 1.4k 1.3× 1.6k 1.7× 1.7k 2.1× 122 6.6k

Countries citing papers authored by Chin‐Feng Lai

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Feng Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Feng Lai. 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 Chin‐Feng Lai. The network helps show where Chin‐Feng Lai may publish in the future.

Co-authorship network of co-authors of Chin‐Feng Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Feng Lai. A scholar is included among the top collaborators of Chin‐Feng Lai 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 Chin‐Feng Lai. Chin‐Feng Lai 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
1.
Stenning, Kilian D., G. Venkat, David Ray Griffin, et al.. (2025). Noise-aware training of neuromorphic dynamic device networks. Nature Communications. 16(1). 9192–9192.
2.
Lai, Chin‐Feng, et al.. (2025). Fuzzy Optimization Feature Fusion for Enhanced Fine-Grained Visual Classification in Sustainable Manufacturing Using Vision Transformer. IEEE Transactions on Fuzzy Systems. 33(12). 4225–4239.
3.
Chen, Shih-Yeh, Wei‐Cheng Chen, & Chin‐Feng Lai. (2025). Generative AI as a reflective scaffold in a UAV-based STEM project: A mixed-methods study on students’ higher-order thinking and cognitive transformation. Education and Information Technologies. 30(17). 24787–24814.
5.
Lai, Chin‐Feng, et al.. (2023). Enhancing student's computational thinking skills with student-generated questions strategy in a game-based learning platform. Computers & Education. 200. 104794–104794. 41 indexed citations
6.
Lai, Chin‐Feng, et al.. (2023). Constructing hands-on distance labs: the development and implementation of an Intelligent Learning Management System (ILMS-d) in undergraduate IoT courses. Interactive Learning Environments. 32(10). 6413–6429. 2 indexed citations
7.
Wang, Chi‐Jane, et al.. (2023). Artificial intelligence learning platform in a visual programming environment: exploring an artificial intelligence learning model. Educational Technology Research and Development. 72(2). 997–1024. 5 indexed citations
8.
Chiu, Po‐Sheng, et al.. (2022). Investigating the effects of a programming course using flipped learning. Innovations in Education and Teaching International. 60(4). 578–590. 4 indexed citations
9.
Lai, Chin‐Feng, et al.. (2021). Investigating the impact of a flipped programming course using the DT-CDIO approach. Computers & Education. 173. 104287–104287. 13 indexed citations
10.
Wang, Guojun, et al.. (2021). A Privacy-preserving Multi-dimensional Data Aggregation Scheme with Forward Security in Smart Grid. 網際網路技術學刊. 22(1). 91–99.
11.
Su, Yu-Sheng & Chin‐Feng Lai. (2021). Applying Educational Data Mining to Explore Viewing Behaviors and Performance With Flipped Classrooms on the Social Media Platform Facebook. Frontiers in Psychology. 12. 653018–653018. 16 indexed citations
12.
Chiu, Po‐Sheng, et al.. (2020). Implementation and evaluation of cloud-based e-learning in agricultural course. Interactive Learning Environments. 31(2). 908–923. 14 indexed citations
13.
Leung, Victor C. M., et al.. (2019). Evolutionary Algorithms in Software Defined Networks: Techniques, Applications, and Issues. ZTE communications. 15(3). 20–36. 7 indexed citations
14.
Lai, Chin‐Feng, Ren‐Hung Hwang, & Ying-Hsun Lai. (2017). An Intelligent Body Posture Analysis Model Using Multi-Sensors for Long-Term Physical Rehabilitation. Journal of Medical Systems. 41(4). 71–71. 3 indexed citations
15.
Ji, Sai, et al.. (2016). Bayesian Approach for Multi-Sensor Data Fusion Based on Compressed Sensing for Wireless Structural Damage Signal. 網際網路技術學刊. 17(7). 1363–1371. 1 indexed citations
16.
Lai, Chin‐Feng, Sherali Zeadally, Jian Shen, & Ying-Hsun Lai. (2015). A Cloud-Integrated Appliance Recognition Approach over Internet of Things. 網際網路技術學刊. 16(7). 1157–1168. 5 indexed citations
17.
Chang, Kai-Di, Jiann-Liang Chen, Wei-Ming Chen, Han‐Chieh Chao, & Chin‐Feng Lai. (2012). Cloud multimedia system with dynamic adjustable streaming service. World Automation Congress. 1–6. 1 indexed citations
18.
Lin, Kai‐Yuan, Chein Tai, Chien‐Feng Li, et al.. (2011). Overexpression of Nuclear Protein Kinase CK2 α Catalytic Subunit (CK2α) as a Poor Prognosticator in Human Colorectal Cancer. PLoS ONE. 6(2). e17193–e17193. 79 indexed citations
19.
Lai, Chin‐Feng, et al.. (2010). OSGi-Based Intelligent Context-Aware Middleware for Smart Home Appliances. 網際網路技術學刊. 11(7). 935–941. 2 indexed citations
20.
Lin, Tsung‐Hsien, et al.. (2006). Association Between Hypertension and Primary Mitral Chordae Tendinae Rupture. American Journal of Hypertension. 19(1). 75–79. 13 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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