Pin‐Chan Lee

1.1k citations
25 papers · 841 · h-index 14

Impact in

Papers in

Pin‐Chan Lee

25 papers receiving 792 citations

Peers

Pin‐Chan Lee
Comparison fields: 5 of 96
  • Management Science and Operations Research 434
  • Building and Construction 193
  • Geology 78
  • Radiological and Ultrasound Technology 43
  • Civil and Structural Engineering 126
Replace Mohammad Hassan Sebt with:
Mohammad Hassan Sebt Iran
I‐Tung Yang Taiwan
Nang-Fei Pan Taiwan
Yu-Wei Wu Taiwan
Kenneth F. Reinschmidt United States
Arash Shahi Canada
Amr A. Oloufa United States
H. Hashemi Iran
Hunhee Cho South Korea
Arman Nedjati Iran
Pin‐Chan Lee relative to Mohammad Hassan Sebt Iran Mohammad Hassan Sebt's profile →
Citations per field
00.5×2.5×
Mohammad Hassan Sebt · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Pin‐Chan Lee, 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 Pin‐Chan Lee Line = papers co-authored together Pin‐Chan Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008118
2 2007115
3 201874
4 200772
5 200863
6 200757
7 201250
8 201042
9 202140
10 201938
11 201935
12 202035
13 201920
14 202214
15 201913
16 201910
17 201310
18 20199
19 20135
20 20195

About Pin‐Chan Lee

Pin‐Chan Lee is a scholar working on Management Science and Operations Research, Building and Construction, Civil and Structural Engineering, Environmental Engineering and Safety, Risk, Reliability and Quality, having authored 25 papers that have together received 841 indexed citations. Recurring topics across this work include Grey System Theory Applications (10 papers), Infrastructure Maintenance and Monitoring (5 papers), BIM and Construction Integration (5 papers), Multi-Criteria Decision Making (4 papers), Energy Load and Power Forecasting (3 papers), Hydrological Forecasting Using AI (3 papers), Forecasting Techniques and Applications (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Management Science and Operations Research (434 citations), Building and Construction (193 citations), Geology (78 citations), Radiological and Ultrasound Technology (43 citations) and Civil and Structural Engineering (126 citations). Pin‐Chan Lee has collaborated with scholars based in Taiwan and China. Frequent 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. Their work appears in journals such as Expert Systems with Applications, Automation in Construction, Journal of Intelligent & Fuzzy Systems, Journal of Materials in Civil Engineering and Engineering Applications of Artificial Intelligence.

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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