Pin‐Chan Lee

1.1k total citations
25 papers, 829 citations indexed

About

Pin‐Chan Lee is a scholar working on Management Science and Operations Research, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Pin‐Chan Lee has authored 25 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 8 papers in Building and Construction and 7 papers in Civil and Structural Engineering. Recurrent topics in Pin‐Chan Lee's work include Grey System Theory Applications (10 papers), BIM and Construction Integration (5 papers) and Infrastructure Maintenance and Monitoring (5 papers). Pin‐Chan Lee is often cited by papers focused on Grey System Theory Applications (10 papers), BIM and Construction Integration (5 papers) and Infrastructure Maintenance and Monitoring (5 papers). Pin‐Chan Lee collaborates with scholars based in Taiwan and China. Pin‐Chan Lee's co-authors include Yong‐Huang Lin, Ta‐Peng Chang, Danbing Long, Yiheng Wang, Yong-Jun Lin, Chi‐Sheng Shih, Yen-Tseng Hsu, Charles C. N. Wang, Junhao Wei and Bo Ye and has published in prestigious journals such as Expert Systems with Applications, Automation in Construction and Applied Mathematical Modelling.

In The Last Decade

Pin‐Chan Lee

25 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pin‐Chan Lee Taiwan 14 434 189 123 119 96 25 829
Amr A. Oloufa United States 17 250 0.6× 471 2.5× 148 1.2× 60 0.5× 66 0.7× 59 871
I‐Tung Yang Taiwan 22 515 1.2× 515 2.7× 190 1.5× 44 0.4× 54 0.6× 48 1.1k
Hunhee Cho South Korea 16 214 0.5× 578 3.1× 242 2.0× 34 0.3× 115 1.2× 85 1.0k
Arash Shahi Canada 14 220 0.5× 396 2.1× 165 1.3× 62 0.5× 20 0.2× 24 737
Do Hyoung Shin South Korea 16 84 0.2× 223 1.2× 250 2.0× 46 0.4× 48 0.5× 43 802
Yu-Wei Wu Taiwan 22 293 0.7× 428 2.3× 656 5.3× 103 0.9× 64 0.7× 48 1.5k
Mazdak Nik‐Bakht Canada 15 100 0.2× 311 1.6× 85 0.7× 77 0.6× 22 0.2× 67 579
Nathalie Perrier Canada 14 278 0.6× 312 1.7× 64 0.5× 47 0.4× 68 0.7× 31 904
Duc-Hoc Tran Vietnam 21 635 1.5× 636 3.4× 242 2.0× 108 0.9× 75 0.8× 42 1.3k

Countries citing papers authored by Pin‐Chan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Pin‐Chan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin‐Chan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Pin‐Chan Lee. A scholar is included among the top collaborators of Pin‐Chan 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 Pin‐Chan Lee. Pin‐Chan 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
1.
Lee, Pin‐Chan, et al.. (2022). The establishment of BIM‐embedded knowledge‐sharing platform and its learning community model: A case of prefabricated building design. Computer Applications in Engineering Education. 30(3). 863–875. 13 indexed citations
2.
Lee, Pin‐Chan, et al.. (2020). An efficient method for determining the optimal convolutional neural network structure based on Taguchi method. Journal of Intelligent & Fuzzy Systems. 39(3). 2611–2625. 3 indexed citations
3.
Lee, Pin‐Chan, et al.. (2020). A dynamic weighting adjustment algorithm for hybrid gray model based on artificial neural network. Journal of the Chinese Institute of Engineers. 43(3). 249–256. 2 indexed citations
4.
Lee, Pin‐Chan, et al.. (2019). An adjusted behavior-based safety program with the observation by front-line workers for mitigating construction accident rate. Journal of the Chinese Institute of Engineers. 43(1). 37–46. 10 indexed citations
5.
Lee, Pin‐Chan, et al.. (2019). A Cloud Model-based Knowledge Mapping Method for Historic Building Maintenance based on Building Information Modelling and Ontology. KSCE Journal of Civil Engineering. 23(8). 3285–3296. 18 indexed citations
6.
Lee, Pin‐Chan, et al.. (2019). An Efficient Design Support System based on Automatic Rule Checking and Case-based Reasoning. KSCE Journal of Civil Engineering. 23(5). 1952–1962. 38 indexed citations
7.
Lee, Pin‐Chan, et al.. (2019). Dynamic Analysis of Construction Safety Risk and Visual Tracking of Key Factors based on Behavior-based Safety and Building Information Modeling. KSCE Journal of Civil Engineering. 23(10). 4155–4167. 33 indexed citations
8.
Lee, Pin‐Chan, et al.. (2019). Dynamic BIM component recommendation method based on probabilistic matrix factorization and grey model. Advanced Engineering Informatics. 43. 101024–101024. 13 indexed citations
9.
Lin, Yong-Jun, et al.. (2019). A Hybrid Grey Model to Forecast the Annual Maximum Daily Rainfall. KSCE Journal of Civil Engineering. 23(11). 4933–4948. 5 indexed citations
10.
Lee, Pin‐Chan, et al.. (2018). An integrated system framework of building information modelling and geographical information system for utility tunnel maintenance management. Tunnelling and Underground Space Technology. 79. 263–273. 73 indexed citations
11.
Huang, Ran, et al.. (2013). Determining the optimal mixture for recycled aggregate concrete with multiple responses. Journal of the Chinese Institute of Engineers. 37(2). 165–174. 5 indexed citations
12.
Lin, Yong‐Huang, et al.. (2012). Applying fuzzy grey modification model on inflow forecasting. Engineering Applications of Artificial Intelligence. 25(4). 734–743. 49 indexed citations
13.
Shih, Chi‐Sheng, et al.. (2010). Grey number prediction using the grey modification model with progression technique. Applied Mathematical Modelling. 35(3). 1314–1321. 42 indexed citations
14.
Lin, Yong‐Huang, et al.. (2008). Multi-attribute group decision making model under the condition of uncertain information. Automation in Construction. 17(6). 792–797. 117 indexed citations
15.
Lin, Yong‐Huang, Pin‐Chan Lee, & Ta‐Peng Chang. (2008). Applying Gray Relational Analysis with Gray Numbers to Qualitative Identification of the Origin of Hydraulic Cement Clinker by Trace Elements. Journal of Materials in Civil Engineering. 20(8). 539–543. 5 indexed citations
16.
Lin, Yong‐Huang, Pin‐Chan Lee, & Ta‐Peng Chang. (2008). Adaptive and high-precision grey forecasting model. Expert Systems with Applications. 36(6). 9658–9662. 63 indexed citations
17.
Lin, Yong‐Huang, Pin‐Chan Lee, & Ta‐Peng Chang. (2008). Integrating grey number and Minkowski distance function into grey relational analysis technique to improve the decision quality under uncertain information. Construction Management and Economics. 26(2). 115–123. 2 indexed citations
18.
Lin, Yong‐Huang & Pin‐Chan Lee. (2008). Effective evaluation model under the condition of insufficient and uncertain information. Expert Systems with Applications. 36(3). 5600–5604. 4 indexed citations
19.
Lin, Yong‐Huang, et al.. (2007). Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications. 35(4). 1638–1644. 116 indexed citations
20.
Lin, Yong‐Huang & Pin‐Chan Lee. (2007). Novel high-precision grey forecasting model. Automation in Construction. 16(6). 771–777. 72 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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